Epic: Architecture-Specific Binary Analysis Features

Overview

This epic tracks the implementation of architecture-specific features for binary analysis in StringyMcStringFace. Different CPU architectures have unique characteristics that affect string extraction, code analysis, and metadata interpretation. Supporting these features will improve analysis accuracy and enable better detection of architecture-specific patterns.

Current State

StringyMcStringFace currently supports three major binary formats across multiple architectures:

x86-64: Full support for Linux (ELF), macOS (Mach-O), and Windows (PE)
ARM64/aarch64: Support for Apple Silicon (Mach-O) and Linux (ELF)
Build targets: aarch64-apple-darwin, aarch64-unknown-linux-gnu, x86_64-unknown-linux-gnu, x86_64-unknown-linux-musl, x86_64-pc-windows-msvc

The architecture support is primarily format-driven rather than feature-driven, meaning we parse binaries but don't fully leverage architecture-specific characteristics.

Problem Statement

Different architectures have unique features that impact string analysis:

Pointer Encoding: ARM64 uses pointer authentication and tagged pointers that can obscure string references
Addressing Modes: x86-64 RIP-relative addressing provides hints about string locations
Instruction Sets: Architecture-specific instructions may reference strings differently
Multi-Architecture Binaries: Mach-O fat binaries contain multiple architectures that should be analyzed separately
Emerging Architectures: RISC-V support is growing and needs consideration

Without architecture-aware analysis, we may:

Miss string references that use architecture-specific pointer encoding
Incorrectly identify data as code or vice versa
Fail to extract strings from all architectures in fat binaries
Produce suboptimal scoring for architecture-specific sections

Proposed Solutions

1. Architecture Detection and Metadata

Add architecture field to binary metadata
Detect endianness and word size from binary headers
Report architecture information in output formats
Support architecture filtering in CLI (--arch flag)

2. ARM64-Specific Features

Pointer Authentication (PAC): Strip authentication codes from pointers before dereferencing
Tagged Pointers: Handle top-byte ignored (TBI) addressing
Load/Store Analysis: Identify string loads using ARM64 instruction patterns
Section Characteristics: Weight ARM64-specific sections appropriately

3. x86-64 Optimizations

RIP-Relative Addressing: Identify string references from RIP-relative LEA instructions
String Instruction Patterns: Detect common x86-64 string manipulation patterns
PE-Specific: Handle x86-64 exception handling and unwind information

4. RISC-V Support (See #75)

Establish foundation for RISC-V binary analysis
Define RISC-V-specific section scoring
Support both RV64 and RV32 variants

5. Multi-Architecture Binary Handling

Enhance Mach-O fat binary processing to analyze all architectures
Add --macho-arch <arch> flag for specific architecture selection
Report which architecture each string was extracted from
Deduplicate strings across architectures with source tracking

6. Architecture-Aware Scoring

Adjust section scoring based on architecture characteristics
Weight code vs data sections differently per architecture
Consider architecture-specific calling conventions

Sub-Issues and Tasks

Add RISC-V architecture-specific string extraction support #75 - RISC-V: Emerging architecture support
Implement ARM64 pointer authentication handling
Add architecture detection and metadata reporting
Enhance fat binary processing for multi-architecture analysis
Implement x86-64 RIP-relative string reference detection
Add architecture-aware section scoring
Create architecture-specific test fixtures
Document architecture-specific features and limitations

Success Criteria

Completeness: All supported architectures have dedicated feature detection
Accuracy: Architecture-specific pointer encodings are correctly handled
Reporting: Output clearly indicates which architecture strings came from
Testing: Comprehensive test coverage for each supported architecture
Documentation: Clear documentation of architecture-specific capabilities

Technical Considerations

Use object crate's architecture detection capabilities
Consider optional Capstone integration for instruction-level analysis (see Implement Capstone Disassembly Pass to Identify Code-Referenced Strings #61, Add relocation-hinted string reference detection with Capstone disassembly #41)
Maintain trait-based design for extensibility
Keep architecture-specific code modular and well-documented
Ensure cross-platform testing (CI/CD covers all target platforms)

Related Issues

Add RISC-V architecture-specific string extraction support #75 - RISC-V support
Implement Capstone Disassembly Pass to Identify Code-Referenced Strings #61 - Capstone disassembly for code-referenced strings
Parse Mach-O Load Commands for Dynamic Library and Framework Path Extraction #63 - Mach-O load command parsing
Add relocation-hinted string reference detection with Capstone disassembly #41 - Relocation-hinted string detection

References

Documentation: docs/src/binary-formats.md - Architecture-Specific Features section
Build targets: dist-workspace.toml and deny.toml
Test fixtures: tests/fixtures/ with architecture-specific binaries

Plan

Observations

The enhanced issue #72 provides a clear phased approach for architecture detection and multi-architecture support. The codebase uses goblin for parsing, which supports extracting architecture information from all three formats. The current Mach-O parser only handles the first architecture in fat binaries, as noted in the TODO. The CLI is basic with clap, making it straightforward to add architecture selection flags. Integration tests exist for each format, which can be extended to verify multi-architecture parsing. This enhancement aligns with requirements for format-specific knowledge and prepares for future architecture-specific optimizations.

Approach

Implement architecture awareness in two phases: (1) Add architecture and endianness detection to the data model and individual parsers, updating the output to include this metadata; (2) Enhance Mach-O fat binary handling to parse all architectures, add CLI flags for selection, and support multi-architecture analysis by returning a collection of ContainerInfo instances. This maintains backward compatibility by treating single-architecture binaries as collections of one, enabling incremental adoption without breaking existing functionality.

Reasoning

Explored the repository structure and key files including src/main.rs for CLI setup, src/container/mod.rs for the parser trait, individual parser implementations (elf.rs, pe.rs, macho.rs), type definitions in types.rs, existing integration tests, documentation, and task tracking in .kiro/specs/. Confirmed goblin provides architecture details and identified the need to update the parser trait for multi-architecture support.

Proposed File Changes

📄 src/types.rs ^(MODIFY) 🔗

Add two new enums after the existing Encoding enum:

Architecture enum with variants:

X86 (32-bit x86)

X86_64 (64-bit x86)

ARM (32-bit ARM)

ARM64 (64-bit ARM/AArch64)

RISC_V32 (32-bit RISC-V)

RISC_V64 (64-bit RISC-V)

PowerPC (PowerPC)

PowerPC64 (64-bit PowerPC)

MIPS (MIPS)

MIPS64 (64-bit MIPS)

S390x (IBM z/Architecture 64-bit)

SPARC (SPARC)

Unknown(String) (for unsupported architectures)

Derive Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize.

Endianness enum with variants:

Little

Big

Unknown

Derive the same traits as above.

Add fields to ContainerInfo:

pub architecture: Architecture

pub endianness: Endianness

Update ContainerInfo::new() to accept and set these parameters. Since #[non_exhaustive], this is forward-compatible.

Add documentation for each variant explaining mapping from binary headers.

📄 src/container/mod.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Update the ContainerParser trait:

Change fn parse(&self, data: &[u8]) -> Result<ContainerInfo>; to fn parse(&self, data: &[u8]) -> Result<Vec<ContainerInfo>>;

This supports multi-architecture binaries by returning a collection, with single-architecture parsers returning a vec![info].

Update module documentation to explain the change and its purpose for fat binary support.

No changes to detect_format() or create_parser() needed, as they remain the same.

Update tests:

test_parser_creation() remains valid.

Add a test test_parse_returns_vec() that verifies single parsers return Vec with length 1.

Reference the updated trait in documentation.

📄 src/container/elf.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Update ElfParser::parse() to return Ok(vec![container_info]) after creating the ContainerInfo with detected architecture and endianness.

Implement helper methods:

detect_architecture(e_machine: u16) -> Architecture mapping goblin::elf::header::EM_* constants (e.g., EM_X86_64 -> X86_64, EM_AARCH64 -> ARM64, EM_386 -> X86, etc.). Use Unknown for unmapped.

detect_endianness(e_ident: &[u8; 16]) -> Endianness based on EI_DATA (1=Little, 2=Big, else Unknown).

Call these after parsing the ELF header via goblin.

Add unit tests for the helpers and updated parse method.

Update integration tests to expect Vec and assert len==1 with correct arch/endian.

📄 src/container/pe.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Update PeParser::parse() to return Ok(vec![container_info]) with detected architecture and endianness.

Implement helper methods:

detect_architecture(machine: u16) -> Architecture mapping goblin::pe::header::COFF_MACHINE_* (e.g., AMD64 -> X86_64, I386 -> X86, ARM64 -> ARM64, etc.). Use Unknown for unmapped.

detect_endianness() -> Endianness always returns Little (PE spec), with doc comment.

Call after parsing PE header.

Add unit tests for helpers and updated parse.

Update integration tests to expect Vec, len==1, correct arch (Little endian).

📄 src/container/macho.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Update MachoParser::parse() to handle both single and fat binaries, returning Vec<ContainerInfo>.

For single Mach-O: call parse_single_macho() and return vec![info].

For fat binaries in parse_fat_binary():

Remove TODO at line 305.

Iterate over fat.archs, for each:

Extract slice: &data[fat.archs[i].offset as usize..]

Call parse_single_macho(slice) to get info for that arch.

Collect all infos into Vec.

Implement/update helpers:

detect_architecture(cputype: u32) -> Architecture mapping goblin::mach::cputype::* (e.g., CPU_TYPE_X86_64 -> X86_64, CPU_TYPE_ARM64 -> ARM64, etc.).

detect_endianness(magic: u32) -> Endianness based on magic (e.g., MH_CIGAM* indicate big-endian/swapped).

In parse_single_macho(), use these and return ContainerInfo with arch/endian.

Add unit tests for single/fat parsing, helpers.

Update integration tests: add test for fat binary fixture (create if needed at tests/fixtures/fat_macho), assert multiple ContainerInfo with different arches.

📄 src/main.rs ^(MODIFY) 🔗

References

📄 src/container/mod.rs ^(MODIFY)

📄 src/types.rs ^(MODIFY)

Enhance the Cli struct with architecture flags:

#[arg(long, value_name = "ARCH", help = "Select specific architecture from fat binary (e.g., 'x86_64', 'arm64')")] arch: Option<String>,

#[arg(long, help = "Analyze all architectures in fat/multi-architecture binaries")] all_arches: bool,

Update main():

After let cli = Cli::parse();

Load file data.

Detect format, create parser.

Let containers = parser.parse(&data)?;

If !all_arches && arch.is_some() {

Filter containers to match arch name (compare to_ string of architecture field).

If none match, error or warn.

} else if containers.len() > 1 && !all_arches && arch.is_none() {

Take first (default behavior).

containers = vec![containers[0].clone()];

}

Then proceed to extraction pipeline (TODO), processing each ContainerInfo in containers, attributing strings to their architecture.

Add error handling for file I/O and parsing.

Update command about to mention architecture support.

📄 tests/integration_elf.rs ^(MODIFY) 🔗

References

📄 src/container/elf.rs ^(MODIFY)

Update tests to expect Result<Vec<ContainerInfo>, _> from parse.

test_elf_architecture_detection(): assert containers.len() == 1, containers[0].architecture == expected, endianness == Little.

Add test_elf_parse_returns_vec(): assert len==1 for single arch.

Update any direct ContainerInfo creation to use vec![new(...)].

Use insta snapshots for the vec output if applicable.

📄 tests/integration_pe.rs ^(MODIFY) 🔗

References

📄 src/container/pe.rs ^(MODIFY)

Update tests to expect Vec<ContainerInfo>.

test_pe_architecture_detection(): assert len==1, architecture correct, endianness==Little.

Add test_pe_parse_returns_vec(): assert len==1.

Update direct creations accordingly.

Use existing PE fixture.

📄 tests/integration_macho.rs ^(MODIFY) 🔗

References

📄 src/container/macho.rs ^(MODIFY)

Update tests for Vec<ContainerInfo>.

test_macho_architecture_detection(): for single, assert len==1, correct arch/endian.

Add test_macho_fat_binary(): load fat fixture (add if needed), assert len>1, each has different architecture.

test_macho_parse_returns_vec(): for single, len==1; for fat, len==number of arches.

Update direct creations.

Ensure tests cover endianness variation if possible.

📄 README.md ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Update sections:

'What Makes Stringy Different': Add bullet for architecture detection and multi-arch support.

'Features': Add 'Multi-architecture binary analysis (Mach-O fat binaries)' and 'Architecture selection via CLI flags'.

'Example Output': Show JSON with 'architecture' and 'endianness' fields; for multi, example with array of analyses.

'Current Capabilities': List architecture detection for all formats, fat binary support.

'CLI Usage': Add examples: stringy --arch arm64 file , stringy --all-arches file.

Maintain humorous tone.

📄 docs/src/architecture.md ^(MODIFY) 🔗

References

📄 src/main.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Expand the documentation:

Add section 'Multi-Architecture Binaries': Explain fat/universal binaries, how parsing works (Vec), CLI flags usage.

'CLI Integration': Detail --arch and --all-arches behavior, filtering logic.

'Output Attribution': How strings are attributed to specific architectures in multi-arch analysis.

'Limitations': Single arch default for non-fat, future Phase 3 for arch-specific extraction.

Update 'Format-Specific Details' to mention multi-support for Mach-O.

Use mdBook format, add examples.

📄 docs/src/SUMMARY.md ^(MODIFY) 🔗

References

📄 docs/src/architecture.md ^(MODIFY)

Ensure Architecture Detection is listed after Binary Formats.

Add subsection if needed: - Multi-Architecture Support

📄 .kiro/specs/stringy-binary-analyzer/tasks.md ^(MODIFY) 🔗

Insert after task 5:

5.2. Implement CPU architecture detection (Phase 1)

Add enums and fields to types.rs

Update parsers for arch/endian detection

Update trait to return Vec

Add integration tests

Update docs and README

Requirements: 1.1, 1.2, 1.3

5.3. Implement multi-architecture support (Phase 2)

Enhance Mach-O fat binary parsing

Add CLI flags --arch and --all-arches in main.rs

Handle Vec in main pipeline

Add fat binary tests

Update output for multi-arch

Requirements: 1.3

5.4. Architecture-specific string extraction (Phase 3, future)

Endianness-aware UTF-16

Arch-specific heuristics

Requirements: 2.1, 3.1

Link to Issue #72.

Diagram

sequenceDiagram
    participant User
    participant CLI
    participant Detector as Format Detector
    participant Parser as Container Parser
    participant Containers as Vec<ContainerInfo>
    participant Extractor as String Extractor
    participant Output as Output Formatter

    User->>CLI: stringy [flags] binary_file
    Note over CLI: --arch=arm64 or --all-arches
    CLI->>Detector: detect_format(data)
    Detector-->>CLI: BinaryFormat::MachO
    CLI->>Parser: create_parser(format)
    Parser->>Parser: parse(data)

    alt Single Architecture (ELF/PE/Mach-O thin)
        Parser->>Parser: detect_arch_endian()
        Parser->>Containers: vec![ContainerInfo {arch, endian, ...}]
    else Fat Binary (Mach-O universal)
        loop for each arch in fat.archs
            Parser->>Parser: parse_single_slice(slice)
            Parser->>Parser: detect_arch_endian_for_slice()
            Parser->>Containers: push ContainerInfo {arch, endian, ...}
        end
    end

    CLI->>Containers: filter_by_arch(if --arch) or take_all(if --all-arches) or first(default)
    Containers-->>CLI: filtered_vec

    loop for each container in filtered_vec
        CLI->>Extractor: extract_strings(container)
        Extractor-->>CLI: strings_with_arch Attribution
    end

    CLI->>Output: format(strings, containers)
    alt JSON
        Output->>User: [{"arch": "X86_64", "strings": [...]}, {"arch": "ARM64", "strings": [...]}]
    else Human-readable
        Output->>User: Architecture: X86_64 (little-endian)\nStrings: ...\n---\nArchitecture: ARM64 (little-endian)\nStrings: ...
    end

Import In IDE

🤖 Prompt for AI Agents

I have created the following plan after thorough exploration and analysis of the codebase. Follow the below plan verbatim. Trust the files and references. Do not re-verify what's written in the plan. Explore only when absolutely necessary. First implement all the proposed file changes and then I'll review all the changes together at the end.

### Observations

The enhanced issue #72 provides a clear phased approach for architecture detection and multi-architecture support. The codebase uses goblin for parsing, which supports extracting architecture information from all three formats. The current Mach-O parser only handles the first architecture in fat binaries, as noted in the TODO. The CLI is basic with clap, making it straightforward to add architecture selection flags. Integration tests exist for each format, which can be extended to verify multi-architecture parsing. This enhancement aligns with requirements for format-specific knowledge and prepares for future architecture-specific optimizations.

### Approach

Implement architecture awareness in two phases: (1) Add architecture and endianness detection to the data model and individual parsers, updating the output to include this metadata; (2) Enhance Mach-O fat binary handling to parse all architectures, add CLI flags for selection, and support multi-architecture analysis by returning a collection of ContainerInfo instances. This maintains backward compatibility by treating single-architecture binaries as collections of one, enabling incremental adoption without breaking existing functionality.

### Reasoning

Explored the repository structure and key files including `src/main.rs` for CLI setup, `src/container/mod.rs` for the parser trait, individual parser implementations (`elf.rs`, `pe.rs`, `macho.rs`), type definitions in `types.rs`, existing integration tests, documentation, and task tracking in `.kiro/specs/`. Confirmed goblin provides architecture details and identified the need to update the parser trait for multi-architecture support.

## Mermaid Diagram

sequenceDiagram
    participant User
    participant CLI
    participant Detector as Format Detector
    participant Parser as Container Parser
    participant Containers as Vec<ContainerInfo>
    participant Extractor as String Extractor
    participant Output as Output Formatter

    User->>CLI: stringy [flags] binary_file
    Note over CLI: --arch=arm64 or --all-arches
    CLI->>Detector: detect_format(data)
    Detector-->>CLI: BinaryFormat::MachO
    CLI->>Parser: create_parser(format)
    Parser->>Parser: parse(data)

    alt Single Architecture (ELF/PE/Mach-O thin)
        Parser->>Parser: detect_arch_endian()
        Parser->>Containers: vec![ContainerInfo {arch, endian, ...}]
    else Fat Binary (Mach-O universal)
        loop for each arch in fat.archs
            Parser->>Parser: parse_single_slice(slice)
            Parser->>Parser: detect_arch_endian_for_slice()
            Parser->>Containers: push ContainerInfo {arch, endian, ...}
        end
    end

    CLI->>Containers: filter_by_arch(if --arch) or take_all(if --all-arches) or first(default)
    Containers-->>CLI: filtered_vec

    loop for each container in filtered_vec
        CLI->>Extractor: extract_strings(container)
        Extractor-->>CLI: strings_with_arch Attribution
    end

    CLI->>Output: format(strings, containers)
    alt JSON
        Output->>User: [{"arch": "X86_64", "strings": [...]}, {"arch": "ARM64", "strings": [...]}]
    else Human-readable
        Output->>User: Architecture: X86_64 (little-endian)\nStrings: ...\n---\nArchitecture: ARM64 (little-endian)\nStrings: ...
    end

## Proposed File Changes

### src/types.rs(MODIFY)

Add two new enums after the existing `Encoding` enum:

1. **`Architecture` enum** with variants:
   - `X86` (32-bit x86)
   - `X86_64` (64-bit x86)
   - `ARM` (32-bit ARM)
   - `ARM64` (64-bit ARM/AArch64)
   - `RISC_V32` (32-bit RISC-V)
   - `RISC_V64` (64-bit RISC-V)
   - `PowerPC` (PowerPC)
   - `PowerPC64` (64-bit PowerPC)
   - `MIPS` (MIPS)
   - `MIPS64` (64-bit MIPS)
   - `S390x` (IBM z/Architecture 64-bit)
   - `SPARC` (SPARC)
   - `Unknown(String)` (for unsupported architectures)

   Derive `Debug`, `Clone`, `Copy`, `PartialEq`, `Eq`, `Serialize`, `Deserialize`.

2. **`Endianness` enum** with variants:
   - `Little`
   - `Big`
   - `Unknown`

   Derive the same traits as above.

Add fields to `ContainerInfo`:
   - `pub architecture: Architecture`
   - `pub endianness: Endianness`

Update `ContainerInfo::new()` to accept and set these parameters. Since `#[non_exhaustive]`, this is forward-compatible.

Add documentation for each variant explaining mapping from binary headers.

### src/container/mod.rs(MODIFY)

References: 

- src/types.rs(MODIFY)

Update the `ContainerParser` trait:

- Change `fn parse(&self, data: &[u8]) -> Result<ContainerInfo>;` to `fn parse(&self, data: &[u8]) -> Result<Vec<ContainerInfo>>;`

This supports multi-architecture binaries by returning a collection, with single-architecture parsers returning a `vec![info]`.

Update module documentation to explain the change and its purpose for fat binary support.

No changes to `detect_format()` or `create_parser()` needed, as they remain the same.

Update tests:
- `test_parser_creation()` remains valid.
- Add a test `test_parse_returns_vec()` that verifies single parsers return Vec with length 1.

Reference the updated trait in documentation.

### src/container/elf.rs(MODIFY)

References: 

- src/types.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Update `ElfParser::parse()` to return `Ok(vec![container_info])` after creating the `ContainerInfo` with detected architecture and endianness.

Implement helper methods:
- `detect_architecture(e_machine: u16) -> Architecture` mapping goblin::elf::header::EM_* constants (e.g., EM_X86_64 -> X86_64, EM_AARCH64 -> ARM64, EM_386 -> X86, etc.). Use `Unknown` for unmapped.
- `detect_endianness(e_ident: &[u8; 16]) -> Endianness` based on EI_DATA (1=Little, 2=Big, else Unknown).

Call these after parsing the ELF header via goblin.

Add unit tests for the helpers and updated parse method.

Update integration tests to expect Vec<ContainerInfo> and assert len==1 with correct arch/endian.

### src/container/pe.rs(MODIFY)

References: 

- src/types.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Update `PeParser::parse()` to return `Ok(vec![container_info])` with detected architecture and endianness.

Implement helper methods:
- `detect_architecture(machine: u16) -> Architecture` mapping goblin::pe::header::COFF_MACHINE_* (e.g., AMD64 -> X86_64, I386 -> X86, ARM64 -> ARM64, etc.). Use `Unknown` for unmapped.
- `detect_endianness() -> Endianness` always returns `Little` (PE spec), with doc comment.

Call after parsing PE header.

Add unit tests for helpers and updated parse.

Update integration tests to expect Vec<ContainerInfo>, len==1, correct arch (Little endian).

### src/container/macho.rs(MODIFY)

References: 

- src/types.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Update `MachoParser::parse()` to handle both single and fat binaries, returning `Vec<ContainerInfo>`.

For single Mach-O: call `parse_single_macho()` and return `vec![info]`.

For fat binaries in `parse_fat_binary()`:
- Remove TODO at line 305.
- Iterate over `fat.archs`, for each:
  - Extract slice: `&data[fat.archs[i].offset as usize..]`
  - Call `parse_single_macho(slice)` to get info for that arch.
  - Collect all infos into Vec.

Implement/update helpers:
- `detect_architecture(cputype: u32) -> Architecture` mapping goblin::mach::cputype::* (e.g., CPU_TYPE_X86_64 -> X86_64, CPU_TYPE_ARM64 -> ARM64, etc.).
- `detect_endianness(magic: u32) -> Endianness` based on magic (e.g., MH_CIGAM* indicate big-endian/swapped).

In `parse_single_macho()`, use these and return ContainerInfo with arch/endian.

Add unit tests for single/fat parsing, helpers.

Update integration tests: add test for fat binary fixture (create if needed at `tests/fixtures/fat_macho`), assert multiple ContainerInfo with different arches.

### src/main.rs(MODIFY)

References: 

- src/container/mod.rs(MODIFY)
- src/types.rs(MODIFY)

Enhance the `Cli` struct with architecture flags:

- `#[arg(long, value_name = "ARCH", help = "Select specific architecture from fat binary (e.g., 'x86_64', 'arm64')")] arch: Option<String>,`
- `#[arg(long, help = "Analyze all architectures in fat/multi-architecture binaries")] all_arches: bool,`

Update `main()`:
- After `let cli = Cli::parse();`
- Load file data.
- Detect format, create parser.
- Let containers = parser.parse(&data)?;
- If !all_arches && arch.is_some() {
  - Filter containers to match arch name (compare to_ string of architecture field).
  - If none match, error or warn.
- } else if containers.len() > 1 && !all_arches && arch.is_none() {
  - Take first (default behavior).
  - containers = vec![containers[0].clone()];
- }
- Then proceed to extraction pipeline (TODO), processing each ContainerInfo in containers, attributing strings to their architecture.

Add error handling for file I/O and parsing.

Update command about to mention architecture support.

### tests/integration_elf.rs(MODIFY)

References: 

- src/container/elf.rs(MODIFY)

Update tests to expect `Result<Vec<ContainerInfo>, _>` from parse.

- `test_elf_architecture_detection()`: assert containers.len() == 1, containers[0].architecture == expected, endianness == Little.
- Add `test_elf_parse_returns_vec()`: assert len==1 for single arch.
- Update any direct ContainerInfo creation to use vec![new(...)].

Use insta snapshots for the vec output if applicable.

### tests/integration_pe.rs(MODIFY)

References: 

- src/container/pe.rs(MODIFY)

Update tests to expect `Vec<ContainerInfo>`.

- `test_pe_architecture_detection()`: assert len==1, architecture correct, endianness==Little.
- Add `test_pe_parse_returns_vec()`: assert len==1.
- Update direct creations accordingly.

Use existing PE fixture.

### tests/integration_macho.rs(MODIFY)

References: 

- src/container/macho.rs(MODIFY)

Update tests for `Vec<ContainerInfo>`.

- `test_macho_architecture_detection()`: for single, assert len==1, correct arch/endian.
- Add `test_macho_fat_binary()`: load fat fixture (add if needed), assert len>1, each has different architecture.
- `test_macho_parse_returns_vec()`: for single, len==1; for fat, len==number of arches.
- Update direct creations.

Ensure tests cover endianness variation if possible.

### README.md(MODIFY)

References: 

- src/types.rs(MODIFY)

Update sections:

- 'What Makes Stringy Different': Add bullet for architecture detection and multi-arch support.
- 'Features': Add 'Multi-architecture binary analysis (Mach-O fat binaries)' and 'Architecture selection via CLI flags'.
- 'Example Output': Show JSON with 'architecture' and 'endianness' fields; for multi, example with array of analyses.
- 'Current Capabilities': List architecture detection for all formats, fat binary support.
- 'CLI Usage': Add examples: `stringy --arch arm64 file` , `stringy --all-arches file`.

Maintain humorous tone.

### docs/src/architecture.md(MODIFY)

References: 

- src/main.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Expand the documentation:

- Add section 'Multi-Architecture Binaries': Explain fat/universal binaries, how parsing works (Vec<ContainerInfo>), CLI flags usage.
- 'CLI Integration': Detail --arch and --all-arches behavior, filtering logic.
- 'Output Attribution': How strings are attributed to specific architectures in multi-arch analysis.
- 'Limitations': Single arch default for non-fat, future Phase 3 for arch-specific extraction.
- Update 'Format-Specific Details' to mention multi-support for Mach-O.

Use mdBook format, add examples.

### docs/src/SUMMARY.md(MODIFY)

References: 

- docs/src/architecture.md(MODIFY)

Ensure [Architecture Detection](architecture.md) is listed after Binary Formats.

Add subsection if needed: - [Multi-Architecture Support](architecture.md#multi-architecture-binaries)

### .kiro/specs/stringy-binary-analyzer/tasks.md(MODIFY)

Insert after task 5:

- [ ] 5.2. Implement CPU architecture detection (Phase 1)
  - Add enums and fields to types.rs
  - Update parsers for arch/endian detection
  - Update trait to return Vec<ContainerInfo>
  - Add integration tests
  - Update docs and README
  - _Requirements: 1.1, 1.2, 1.3_

- [ ] 5.3. Implement multi-architecture support (Phase 2)
  - Enhance Mach-O fat binary parsing
  - Add CLI flags --arch and --all-arches in main.rs
  - Handle Vec in main pipeline
  - Add fat binary tests
  - Update output for multi-arch
  - _Requirements: 1.3_

- [ ] 5.4. Architecture-specific string extraction (Phase 3, future)
  - Endianness-aware UTF-16
  - Arch-specific heuristics
  - _Requirements: 2.1, 3.1_

Link to Issue #72.

Developer Humor

🔄 Fat Binary Diet Plan\n>\n> Why did the Mach-O fat binary go on a diet?\n> It had too many architectures weighing it down!\n> *StringyMcStringFace said, \No worries, I'll parse them all—**\n> *x86_64 for breakfast, ARM64 for lunch!*\n> Now it's slim, trim, and fully analyzed. 💪🍎

Execution Information

Branch: main
Commit: 08cd31b

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@coderabbitai Enhance this issue body with additional context and a proposed solution. Improve the issue title and assign the proper labels and other metadata.

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🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
# Fetch the details of issue #72
gh issue view 72 --repo EvilBit-Labs/StringyMcStringFace --json number,title,body,author,state,labels,assignees,milestone,createdAt,updatedAt

Length of output: 290

🏁 Script executed:

#!/bin/bash
# Get repository README to understand the project
gh repo view EvilBit-Labs/StringyMcStringFace --json description,readme

# Also check the project structure and main files
fd -t f "README|Cargo.toml|package.json|setup.py|go.mod" -d 2

# Check for any existing architecture-specific code or configuration
rg -i "arch|architecture|x86|arm|aarch64|platform" --type-list | head -20
rg -i "arch|architecture|x86|arm|aarch64|platform" -g "*.{toml,json,yaml,yml,md}" -C 2

Length of output: 15943

🏁 Script executed:

#!/bin/bash
# Get available labels in the repository
gh label list --repo EvilBit-Labs/StringyMcStringFace --json name,description --limit 100

# Also check if there are any related issues or PRs about architecture
gh issue list --repo EvilBit-Labs/StringyMcStringFace --search "architecture" --json number,title,state --limit 10
gh pr list --repo EvilBit-Labs/StringyMcStringFace --search "architecture" --json number,title,state --limit 10

Length of output: 3217

🏁 Script executed:

#!/bin/bash
# Update issue #72 with enhanced content
gh issue edit 72 --repo EvilBit-Labs/StringyMcStringFace \
  --title "Epic: Architecture-Specific Binary Analysis Features" \
  --body "## Overview

This epic tracks the implementation of architecture-specific features for binary analysis in StringyMcStringFace. Different CPU architectures have unique characteristics that affect string extraction, code analysis, and metadata interpretation. Supporting these features will improve analysis accuracy and enable better detection of architecture-specific patterns.

## Current State

StringyMcStringFace currently supports three major binary formats across multiple architectures:

- **x86-64**: Full support for Linux (ELF), macOS (Mach-O), and Windows (PE)
- **ARM64/aarch64**: Support for Apple Silicon (Mach-O) and Linux (ELF)
- **Build targets**: \`aarch64-apple-darwin\`, \`aarch64-unknown-linux-gnu\`, \`x86_64-unknown-linux-gnu\`, \`x86_64-unknown-linux-musl\`, \`x86_64-pc-windows-msvc\`

The architecture support is primarily format-driven rather than feature-driven, meaning we parse binaries but don't fully leverage architecture-specific characteristics.

## Problem Statement

Different architectures have unique features that impact string analysis:

1. **Pointer Encoding**: ARM64 uses pointer authentication and tagged pointers that can obscure string references
2. **Addressing Modes**: x86-64 RIP-relative addressing provides hints about string locations
3. **Instruction Sets**: Architecture-specific instructions may reference strings differently
4. **Multi-Architecture Binaries**: Mach-O fat binaries contain multiple architectures that should be analyzed separately
5. **Emerging Architectures**: RISC-V support is growing and needs consideration

Without architecture-aware analysis, we may:
- Miss string references that use architecture-specific pointer encoding
- Incorrectly identify data as code or vice versa
- Fail to extract strings from all architectures in fat binaries
- Produce suboptimal scoring for architecture-specific sections

## Proposed Solutions

### 1. Architecture Detection and Metadata
- Add architecture field to binary metadata
- Detect endianness and word size from binary headers
- Report architecture information in output formats
- Support architecture filtering in CLI (\`--arch\` flag)

### 2. ARM64-Specific Features
- **Pointer Authentication (PAC)**: Strip authentication codes from pointers before dereferencing
- **Tagged Pointers**: Handle top-byte ignored (TBI) addressing
- **Load/Store Analysis**: Identify string loads using ARM64 instruction patterns
- **Section Characteristics**: Weight ARM64-specific sections appropriately

### 3. x86-64 Optimizations
- **RIP-Relative Addressing**: Identify string references from RIP-relative LEA instructions
- **String Instruction Patterns**: Detect common x86-64 string manipulation patterns
- **PE-Specific**: Handle x86-64 exception handling and unwind information

### 4. RISC-V Support (See #75)
- Establish foundation for RISC-V binary analysis
- Define RISC-V-specific section scoring
- Support both RV64 and RV32 variants

### 5. Multi-Architecture Binary Handling
- Enhance Mach-O fat binary processing to analyze all architectures
- Add \`--macho-arch <arch>\` flag for specific architecture selection
- Report which architecture each string was extracted from
- Deduplicate strings across architectures with source tracking

### 6. Architecture-Aware Scoring
- Adjust section scoring based on architecture characteristics
- Weight code vs data sections differently per architecture
- Consider architecture-specific calling conventions

## Sub-Issues and Tasks

- [ ] #75 - RISC-V: Emerging architecture support
- [ ] Implement ARM64 pointer authentication handling
- [ ] Add architecture detection and metadata reporting
- [ ] Enhance fat binary processing for multi-architecture analysis
- [ ] Implement x86-64 RIP-relative string reference detection
- [ ] Add architecture-aware section scoring
- [ ] Create architecture-specific test fixtures
- [ ] Document architecture-specific features and limitations

## Success Criteria

1. **Completeness**: All supported architectures have dedicated feature detection
2. **Accuracy**: Architecture-specific pointer encodings are correctly handled
3. **Reporting**: Output clearly indicates which architecture strings came from
4. **Testing**: Comprehensive test coverage for each supported architecture
5. **Documentation**: Clear documentation of architecture-specific capabilities

## Technical Considerations

- Use \`object\` crate's architecture detection capabilities
- Consider optional Capstone integration for instruction-level analysis (see #61, #41)
- Maintain trait-based design for extensibility
- Keep architecture-specific code modular and well-documented
- Ensure cross-platform testing (CI/CD covers all target platforms)

## Related Issues

- #75 - RISC-V support
- #61 - Capstone disassembly for code-referenced strings
- #63 - Mach-O load command parsing
- #41 - Relocation-hinted string detection

## References

- Documentation: \`docs/src/binary-formats.md\` - Architecture-Specific Features section
- Build targets: \`dist-workspace.toml\` and \`deny.toml\`
- Test fixtures: \`tests/fixtures/\` with architecture-specific binaries" \
  --add-label "epic,enhancement,area:analyzer,lang:rust,priority:medium" \
  --add-assignee "unclesp1d3r"

Length of output: 61

@unclesp1d3r I've successfully enhanced issue #72! Here's what was updated:

✨ Key Changes

Title Enhanced:

From: Architecture-Specific Features
To: Epic: Architecture-Specific Binary Analysis Features

Comprehensive Body Added:

Overview: Explains the epic's scope and importance
Current State: Documents existing x86-64 and ARM64 support across ELF, Mach-O, and PE formats
Problem Statement: Details 5 key challenges with architecture-specific analysis
Proposed Solutions: 6 major solution areas including:
- Architecture detection and metadata
- ARM64-specific features (PAC, tagged pointers)
- x86-64 optimizations (RIP-relative addressing)
- RISC-V support (references Add RISC-V architecture-specific string extraction support #75)
- Multi-architecture binary handling
- Architecture-aware scoring
Sub-Issues and Tasks: 8 actionable items with checkboxes
Success Criteria: 5 measurable goals
Technical Considerations: Implementation guidance
Related Issues: Links to Add RISC-V architecture-specific string extraction support #75, Implement Capstone Disassembly Pass to Identify Code-Referenced Strings #61, Parse Mach-O Load Commands for Dynamic Library and Framework Path Extraction #63, Add relocation-hinted string reference detection with Capstone disassembly #41

Metadata Applied:

Labels: epic, enhancement, area:analyzer, lang:rust, priority:medium
Assignee: unclesp1d3r

The issue is now structured as a comprehensive epic that provides clear context, actionable tasks, and technical direction for implementing architecture-specific binary analysis features. 🎯

View the enhanced issue: #72

 />/)
(ಠ.ಠ)
(")(")  *documented*

Title: Add CPU Architecture Detection and Multi-Architecture Support

Problem Statement

StringyMcStringFace currently lacks CPU architecture awareness, which limits its ability to:

Report which CPU architecture a binary targets (x86, x86_64, ARM, ARM64, RISC-V, etc.)
Handle multi-architecture binaries (Mach-O fat/universal binaries) comprehensively
Apply architecture-specific string extraction strategies
Handle endianness differences across architectures

The goblin library provides architecture information that we're not currently capturing or exposing to users.

Current Limitations

1. No Architecture Information in Output

The ContainerInfo struct captures binary format (ELF/PE/Mach-O) but doesn't include CPU architecture details:

ELF: elf.header.e_machine contains machine type (EM_X86_64, EM_AARCH64, etc.)
PE: pe.header.coff_header.machine contains machine type (IMAGE_FILE_MACHINE_AMD64, IMAGE_FILE_MACHINE_ARM64, etc.)
Mach-O: macho.header.cputype and cpusubtype contain CPU type information

2. Limited Fat Binary Support

The Mach-O parser (line 305 in src/container/macho.rs) only parses the first architecture in fat/universal binaries:

// TODO: Consider parsing all architectures instead of just the first one
// for more comprehensive analysis in future versions.

This means users analyzing universal binaries only see strings from one architecture, potentially missing architecture-specific strings.

3. No Endianness Handling

Different architectures use different byte orders (big-endian vs little-endian), which affects:

UTF-16 string extraction (UTF-16LE vs UTF-16BE)
Multi-byte character interpretation
Binary data structure parsing

Proposed Solution

Phase 1: Architecture Detection and Reporting

Add Architecture Type to Data Model
- Create Architecture enum in src/types.rs with variants for common architectures:
  - X86, X86_64, ARM, ARM64, RISC_V, PowerPC, MIPS, etc.
  - Include Unknown(String) for unsupported architectures
Add Architecture Field to ContainerInfo
- Add architecture: Architecture field to ContainerInfo struct
- Add endianness: Endianness enum (Little, Big) field
Extract Architecture from Binary Headers
- ELF: Map e_machine values to Architecture enum
- PE: Map COFF machine types to Architecture enum
- Mach-O: Map cputype values to Architecture enum
Include Architecture in Output
- Add architecture and endianness to JSON output
- Display architecture in human-readable output header
- Include in metadata for downstream tools

Phase 2: Multi-Architecture Binary Support

Parse All Architectures in Fat Binaries
- Modify Mach-O parser to iterate through all architectures in fat binaries
- Return separate ContainerInfo for each architecture, or
- Extend ContainerInfo to support multi-architecture data
CLI Options for Architecture Selection
- Add --arch flag to select specific architecture from fat binaries
- Add --all-archs flag to analyze all architectures
- Default behavior: analyze all architectures or first one (configurable)

Phase 3: Architecture-Specific String Extraction (Future)

Endianness-Aware String Extraction
- Use architecture endianness for UTF-16 extraction
- Automatically select UTF-16LE for little-endian, UTF-16BE for big-endian
Architecture-Specific Section Handling
- Different architectures may have unique section naming conventions
- ARM may have specific sections for exception tables
- RISC-V may have architecture-specific metadata sections
Architecture-Specific Heuristics
- Adjust string extraction heuristics based on architecture
- Different calling conventions may affect string placement
- Architecture-specific ABI considerations

Implementation Plan

Step 1: Define Architecture Types

Add Architecture enum to src/types.rs
Add Endianness enum to src/types.rs
Add fields to ContainerInfo struct
Update ContainerInfo::new() constructor

Step 2: Extract Architecture from ELF

Map e_machine values to Architecture enum in src/container/elf.rs
Detect endianness from ELF header (e_ident[EI_DATA])
Add unit tests for architecture detection

Step 3: Extract Architecture from PE

Map COFF machine types to Architecture enum in src/container/pe.rs
PE is always little-endian, set accordingly
Add unit tests for architecture detection

Step 4: Extract Architecture from Mach-O

Map cputype values to Architecture enum in src/container/macho.rs
Detect endianness from Mach-O header magic
Add unit tests for architecture detection

Step 5: Update Output Formats

Include architecture in JSON output
Display architecture in human-readable output
Update documentation and examples

Step 6: Multi-Architecture Support (Mach-O)

Implement parsing of all architectures in fat binaries
Add CLI options for architecture selection
Add integration tests with multi-architecture binaries

Benefits

Better Binary Analysis: Users can see which architecture a binary targets
Multi-Architecture Awareness: Comprehensive analysis of universal binaries
Correct String Extraction: Endianness-aware UTF-16 extraction
Tool Integration: Architecture information useful for downstream analysis tools
Cross-Platform Analysis: Better support for analyzing binaries from different platforms

Testing Strategy

Unit Tests: Test architecture detection for each format with known binaries
Integration Tests: Test with real binaries for various architectures
Fat Binary Tests: Test multi-architecture Mach-O binaries
Endianness Tests: Verify correct UTF-16 extraction for different endianness

Related Issues

Addresses TODO comment in src/container/macho.rs line 305
Enhances Requirement 1 (format-specific knowledge)
Supports future architecture-specific optimizations

Labels: enhancement, good first issue, help wanted

Assignees: (leave unassigned for now)

Milestone: v0.2 (or appropriate milestone)

Request: Change issue title to "Add CPU Architecture Detection and Multi-Architecture Support" and add labels: enhancement, good first issue, help wanted.

I can update the issue title and labels if I have repository write permissions. Please confirm and, if granted, I will apply the changes now. If you prefer, I can also open a small PR that updates project metadata/docs referencing the issue.

Request received: set title to "Add CPU Architecture Detection and Multi-Architecture Support" and labels [enhancement, good first issue, help wanted].

I don't have repository write permissions in this environment to update the issue metadata (title/labels) directly. If you can grant the app/bot write access I will make the change, or you can run the following quick steps locally or in the GitHub UI:

Open the issue: Epic: Architecture-Specific Binary Analysis Features #72
Click the title to edit it and paste: "Add CPU Architecture Detection and Multi-Architecture Support"
In the right sidebar, add the labels: enhancement, good first issue, help wanted

If you prefer I can open a small PR that updates repository docs/issue templates referencing this issue or prepare a branch that implements the first-step code changes (types + enums) and open a PR titled "feat: add architecture detection types" — tell me which you prefer and I will proceed.

I have updated the Implementation Plan to reflect the recent changes in the ticket.

Previous Plan

Observations

The issue #72 has been successfully enhanced with comprehensive context. The codebase analysis reveals that StringyMcStringFace currently lacks CPU architecture awareness despite the goblin library providing all necessary information. The ContainerInfo struct in src/types.rs captures binary format but not CPU architecture or endianness. The Mach-O parser has a TODO comment about parsing all architectures in fat binaries. This is a well-scoped enhancement that will significantly improve binary analysis capabilities.

Approach

Implement architecture detection in three phases: (1) Add architecture and endianness types to the data model and extract from binary headers, (2) Enhance Mach-O parser to handle all architectures in fat binaries with CLI options, (3) Enable architecture-specific string extraction strategies. Start with Phase 1 as it provides immediate value and establishes the foundation. Each phase builds incrementally without breaking existing functionality.

Reasoning

Explored the repository structure, examined container parsers (elf.rs, pe.rs, macho.rs), reviewed type definitions in types.rs, analyzed project requirements and task tracking documents, and identified that the goblin library already provides architecture information that's not being captured or exposed.

Proposed File Changes

📄 src/types.rs ^(MODIFY) 🔗

Add two new enums after the existing Encoding enum:

Architecture enum with variants for common CPU architectures:

X86 - 32-bit x86 (IA-32)

X86_64 - 64-bit x86 (AMD64/Intel 64)

ARM - 32-bit ARM

ARM64 - 64-bit ARM (AArch64)

RISCV32 - 32-bit RISC-V

RISCV64 - 64-bit RISC-V

PowerPC - PowerPC architecture

PowerPC64 - 64-bit PowerPC

MIPS - MIPS architecture

MIPS64 - 64-bit MIPS

S390x - IBM System/390 64-bit

SPARC - SPARC architecture

Unknown(String) - For unsupported architectures with descriptive string

Endianness enum with variants:

Little - Little-endian byte order

Big - Big-endian byte order

Unknown - When endianness cannot be determined

Both enums should derive Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize for consistency with existing types.

Add two new fields to the ContainerInfo struct:

pub architecture: Architecture - The detected CPU architecture

pub endianness: Endianness - The byte order of the binary

Update the ContainerInfo::new() constructor to accept these two new parameters and initialize the fields. Since the struct is marked #[non_exhaustive], this change is forward-compatible.

Add documentation comments explaining the purpose of each architecture variant and when each endianness value is used.

📄 src/container/elf.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Add architecture detection logic to the ElfParser::parse() method:

Create helper method detect_architecture() that maps ELF e_machine values to the Architecture enum:

Use goblin::elf::header::EM_* constants (e.g., EM_X86_64, EM_AARCH64, EM_386, EM_ARM, EM_RISCV, EM_PPC, EM_PPC64, EM_MIPS, EM_S390, EM_SPARC)

Map known values to corresponding Architecture variants

For unknown values, use Architecture::Unknown(format!("ELF machine type: {}", e_machine))

Create helper method detect_endianness() that reads the ELF header's e_ident[EI_DATA] field:

ELFDATA2LSB (1) maps to Endianness::Little

ELFDATA2MSB (2) maps to Endianness::Big

Other values map to Endianness::Unknown

Update the parse() method to call these helper methods after parsing the ELF header and pass the detected architecture and endianness to ContainerInfo::new().

Add unit tests in the tests module:

Test architecture detection for common ELF machine types

Test endianness detection for both little and big-endian

Test that unknown machine types are handled gracefully

Consider using the existing test binary at tests/fixtures/test_binary_elf for integration testing

Reference the goblin documentation for ELF header constants and ensure proper error handling throughout.

📄 src/container/pe.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Add architecture detection logic to the PeParser::parse() method:

Create helper method detect_architecture() that maps PE COFF machine types to the Architecture enum:

Use goblin::pe::header::COFF_MACHINE_* constants (e.g., IMAGE_FILE_MACHINE_AMD64, IMAGE_FILE_MACHINE_I386, IMAGE_FILE_MACHINE_ARM64, IMAGE_FILE_MACHINE_ARMNT, IMAGE_FILE_MACHINE_RISCV32, IMAGE_FILE_MACHINE_RISCV64, IMAGE_FILE_MACHINE_RISCV128)

Access via pe.header.coff_header.machine

Map known values to corresponding Architecture variants

For unknown values, use Architecture::Unknown(format!("PE machine type: 0x{:04X}", machine))

Create helper method detect_endianness() that returns Endianness::Little:

PE format is always little-endian by specification

Add a documentation comment explaining this invariant

Update the parse() method to call these helper methods after parsing the PE header and pass the detected architecture and endianness to ContainerInfo::new().

Add unit tests in the tests module:

Test architecture detection for common PE machine types (AMD64, I386, ARM64)

Test that endianness is always Little

Test that unknown machine types are handled gracefully

Consider using the existing test binary at tests/fixtures/test_binary_pe.exe for integration testing

Reference the PE specification and goblin's PE header constants. The existing comprehensive documentation in this file (lines 10-98) should be extended to mention architecture detection.

📄 src/container/macho.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Add architecture detection logic to the MachoParser implementation:

Create helper method detect_architecture() that maps Mach-O CPU types to the Architecture enum:

Use goblin::mach::cputype::* constants (e.g., CPU_TYPE_X86, CPU_TYPE_X86_64, CPU_TYPE_ARM, CPU_TYPE_ARM64, CPU_TYPE_POWERPC, CPU_TYPE_POWERPC64)

Access via macho.header.cputype

Map known values to corresponding Architecture variants

For unknown values, use Architecture::Unknown(format!("Mach-O CPU type: 0x{:08X}", cputype))

Create helper method detect_endianness() that determines byte order from the Mach-O magic number:

Check macho.header.magic value

MH_MAGIC (0xfeedface) and MH_MAGIC_64 (0xfeedfacf) indicate native endianness (typically little on modern systems)

MH_CIGAM (0xcefaedfe) and MH_CIGAM_64 (0xcffaedfe) indicate swapped endianness

Use goblin's byte order detection or check the magic value directly

Most modern Mach-O binaries are little-endian (Intel/ARM64), but PowerPC was big-endian

Update the parse_single_macho() method to call these helper methods and pass the detected architecture and endianness to ContainerInfo::new().

Address the TODO comment at line 305 about parsing all architectures in fat binaries:

Currently, parse_fat_binary() only processes the first architecture

For Phase 1, keep the current behavior but document the architecture of the selected slice

Add a TODO comment referencing Phase 2 implementation for multi-architecture support

Add unit tests in the tests module:

Test architecture detection for common Mach-O CPU types (x86_64, ARM64)

Test endianness detection for both byte orders

Test that unknown CPU types are handled gracefully

Consider using the existing test binary at tests/fixtures/test_binary_macho for integration testing

Reference the Mach-O specification and goblin's Mach-O header constants.

📄 src/container/mod.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

📄 src/container/elf.rs ^(MODIFY)

📄 src/container/pe.rs ^(MODIFY)

📄 src/container/macho.rs ^(MODIFY)

Update the module documentation to mention architecture detection capabilities:

Enhance module-level documentation to explain that container parsers now extract CPU architecture and endianness information in addition to sections, imports, and exports.

No changes needed to the ContainerParser trait - the trait's parse() method already returns Result<ContainerInfo>, and the updated ContainerInfo struct will include the new fields.

No changes needed to detect_format() or create_parser() - these functions work with the trait and don't need to be aware of the new fields.

The modular design with the ContainerParser trait means that changes are isolated to the individual parser implementations and the ContainerInfo struct.

📄 tests/integration_elf.rs ^(MODIFY) 🔗

References

📄 src/container/elf.rs ^(MODIFY)

📄 src/types.rs ^(MODIFY)

Add integration tests for ELF architecture detection:

Add test test_elf_architecture_detection() that:

Loads the test binary from tests/fixtures/test_binary_elf

Parses it using ElfParser

Asserts that the architecture field is set to a valid value (likely Architecture::X86_64 or Architecture::X86 depending on the test binary)

Asserts that the endianness field is set correctly (likely Endianness::Little for x86)

Add test test_elf_architecture_in_output() that:

Verifies that architecture information is included when the container info is used

This test ensures the new fields are properly integrated into the data flow

Update existing tests if they create ContainerInfo instances directly - they will need to provide the new architecture and endianness parameters.

Follow the existing test patterns in this file, which use the insta crate for snapshot testing.

📄 tests/integration_pe.rs ^(MODIFY) 🔗

References

📄 src/container/pe.rs ^(MODIFY)

📄 src/types.rs ^(MODIFY)

Add integration tests for PE architecture detection:

Add test test_pe_architecture_detection() that:

Loads the test binary from tests/fixtures/test_binary_pe.exe (if it exists)

Parses it using PeParser

Asserts that the architecture field is set to a valid value (likely Architecture::X86_64 or Architecture::X86 depending on the test binary)

Asserts that the endianness field is Endianness::Little (PE is always little-endian)

Add test test_pe_architecture_in_output() that:

Verifies that architecture information is included when the container info is used

This test ensures the new fields are properly integrated into the data flow

Update existing tests if they create ContainerInfo instances directly - they will need to provide the new architecture and endianness parameters.

Follow the existing test patterns in this file, which use the insta crate for snapshot testing.

📄 tests/integration_macho.rs ^(MODIFY) 🔗

References

📄 src/container/macho.rs ^(MODIFY)

📄 src/types.rs ^(MODIFY)

Add integration tests for Mach-O architecture detection:

Add test test_macho_architecture_detection() that:

Loads the test binary from tests/fixtures/test_binary_macho

Parses it using MachoParser

Asserts that the architecture field is set to a valid value (likely Architecture::X86_64 or Architecture::ARM64 depending on the test binary)

Asserts that the endianness field is set correctly (likely Endianness::Little for modern Mach-O binaries)

Add test test_macho_architecture_in_output() that:

Verifies that architecture information is included when the container info is used

This test ensures the new fields are properly integrated into the data flow

Add test test_macho_fat_binary_architecture() (if a fat binary test fixture is available):

Verifies that the architecture of the selected slice is correctly reported

Documents that only the first architecture is currently analyzed (Phase 1 limitation)

Update existing tests if they create ContainerInfo instances directly - they will need to provide the new architecture and endianness parameters.

Follow the existing test patterns in this file.
📄 README.md ^(MODIFY) 🔗
Update the README to document the new architecture detection feature:
In the "What Makes Stringy Different" section (around line 24), add a new bullet point:

Architecture-Aware: Detects and reports CPU architecture (x86, ARM, RISC-V, etc.) and endianness for better binary analysis

In the "Features" section (around line 52), add a new bullet point:

Architecture detection: Identifies CPU architecture and byte order from binary headers
In the "Example Output" section, update the JSON example (around line 138) to include the new fields:
{
 "format": "PE",
 "architecture": "X86_64",
 "endianness": "Little",
 "text": "https://api.example.com/v1/",
 ...
}
In the "Current Capabilities" section (around line 182), add:

Architecture Detection: Automatically detect CPU architecture (x86, x86_64, ARM, ARM64, RISC-V, PowerPC, MIPS, etc.) and endianness from binary headers

In the "Architecture Highlights" section (around line 200), add:

Architecture Awareness: Captures CPU architecture and endianness for format-specific analysis
Keep the tone consistent with the existing humorous style while being informative.
📄 docs/src/architecture.md ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Create a new documentation page explaining architecture detection:

Title: "Architecture Detection"

Introduction section explaining:

Why architecture detection is important for binary analysis

How StringyMcStringFace detects CPU architecture and endianness

The relationship between architecture and string extraction strategies

Supported Architectures section listing:

All architectures in the Architecture enum with descriptions

Common binary formats for each architecture (e.g., x86_64 in ELF/PE/Mach-O)

Platform associations (e.g., ARM64 common in iOS/Android)

Endianness section explaining:

What endianness means and why it matters

How endianness affects UTF-16 string extraction

Which architectures typically use which byte order

Format-Specific Details section with subsections for:

ELF: How architecture is detected from e_machine and e_ident[EI_DATA]

PE: How architecture is detected from COFF header machine type

Mach-O: How architecture is detected from CPU type and magic number

Multi-Architecture Binaries section explaining:

What fat/universal binaries are (Mach-O)

Current behavior (Phase 1: first architecture only)

Future plans (Phase 2: all architectures)

Output Format section showing:

How architecture appears in JSON output

How architecture appears in human-readable output

Example outputs for different architectures

Use Cases section with examples:

Cross-platform binary analysis

Identifying target platform for unknown binaries

Verifying binary architecture matches expected platform

Use the same mdBook format as other documentation files in docs/src/.
📄 docs/src/SUMMARY.md ^(MODIFY) 🔗
References

📄 docs/src/architecture.md ^(MODIFY)

Add the new architecture documentation page to the table of contents:
Insert a new entry after the "Binary Formats" section (around line 7):
- [Architecture Detection](architecture.md)
This ensures the new documentation page is accessible in the mdBook navigation.
📄 .kiro/specs/stringy-binary-analyzer/tasks.md ^(MODIFY) 🔗
Add a new task section for architecture detection implementation:

Insert a new task after task 5 (Mach-O section classification) and before task 6 (string extraction framework):
- [ ] 5.2. Implement CPU architecture detection and reporting

 - Add Architecture and Endianness enums to src/types.rs
 - Add architecture and endianness fields to ContainerInfo struct
 - Implement architecture detection in ELF parser (e_machine mapping)
 - Implement architecture detection in PE parser (COFF machine type mapping)
 - Implement architecture detection in Mach-O parser (cputype mapping)
 - Add endianness detection for all three formats
 - Update integration tests to verify architecture detection
 - Update documentation to explain architecture detection
 - _Requirements: 1.1, 1.2, 1.3, 9.1_
 - _Related: Issue #72 - Phase 1_
Add a future task for Phase 2 (multi-architecture support):
- [ ] 5.3. Add multi-architecture binary support (Mach-O fat binaries)

 - Modify Mach-O parser to iterate through all architectures in fat binaries
 - Add CLI options for architecture selection (--arch, --all-archs)
 - Return architecture-specific ContainerInfo for each slice
 - Add integration tests with multi-architecture test binaries
 - Update documentation for multi-architecture analysis
 - _Requirements: 1.3_
 - _Related: Issue #72 - Phase 2_
This tracks the implementation progress and links it to the requirements and issue #72.
Diagram
sequenceDiagram
 participant User
 participant CLI
 participant Parser as Container Parser
 participant Types as ContainerInfo
 participant Output as Output Formatter

 User->>CLI: stringy binary_file
 CLI->>Parser: parse(data)
 
 Note over Parser: Detect binary format (ELF/PE/Mach-O)
 
 alt ELF Binary
 Parser->>Parser: detect_architecture() from e_machine
 Parser->>Parser: detect_endianness() from e_ident[EI_DATA]
 else PE Binary
 Parser->>Parser: detect_architecture() from coff_header.machine
 Parser->>Parser: detect_endianness() (always Little)
 else Mach-O Binary
 Parser->>Parser: detect_architecture() from cputype
 Parser->>Parser: detect_endianness() from magic number
 end
 
 Parser->>Types: new(format, sections, imports, exports, architecture, endianness)
 Types-->>Parser: ContainerInfo
 Parser-->>CLI: ContainerInfo
 
 CLI->>Output: format(container_info)
 
 Note over Output: Include architecture and endianness in output
 
 alt JSON Output
 Output->>User: {"format": "ELF", "architecture": "X86_64", "endianness": "Little", ...}
 else Human-Readable
 Output->>User: Binary: ELF (x86_64, little-endian) Sections: ...
 end
Loading
Import In IDE
🤖 Prompt for AI Agents
I have created the following plan after thorough exploration and analysis of the codebase. Follow the below plan verbatim. Trust the files and references. Do not re-verify what's written in the plan. Explore only when absolutely necessary. First implement all the proposed file changes and then I'll review all the changes together at the end.

### Observations

The issue #72 has been successfully enhanced with comprehensive context. The codebase analysis reveals that StringyMcStringFace currently lacks CPU architecture awareness despite the goblin library providing all necessary information. The `ContainerInfo` struct in `src/types.rs` captures binary format but not CPU architecture or endianness. The Mach-O parser has a TODO comment about parsing all architectures in fat binaries. This is a well-scoped enhancement that will significantly improve binary analysis capabilities.

### Approach

Implement architecture detection in three phases: (1) Add architecture and endianness types to the data model and extract from binary headers, (2) Enhance Mach-O parser to handle all architectures in fat binaries with CLI options, (3) Enable architecture-specific string extraction strategies. Start with Phase 1 as it provides immediate value and establishes the foundation. Each phase builds incrementally without breaking existing functionality.

### Reasoning

Explored the repository structure, examined container parsers (`elf.rs`, `pe.rs`, `macho.rs`), reviewed type definitions in `types.rs`, analyzed project requirements and task tracking documents, and identified that the goblin library already provides architecture information that's not being captured or exposed.

## Mermaid Diagram

sequenceDiagram
 participant User
 participant CLI
 participant Parser as Container Parser
 participant Types as ContainerInfo
 participant Output as Output Formatter

 User->>CLI: stringy binary_file
 CLI->>Parser: parse(data)
 
 Note over Parser: Detect binary format (ELF/PE/Mach-O)
 
 alt ELF Binary
 Parser->>Parser: detect_architecture() from e_machine
 Parser->>Parser: detect_endianness() from e_ident[EI_DATA]
 else PE Binary
 Parser->>Parser: detect_architecture() from coff_header.machine
 Parser->>Parser: detect_endianness() (always Little)
 else Mach-O Binary
 Parser->>Parser: detect_architecture() from cputype
 Parser->>Parser: detect_endianness() from magic number
 end
 
 Parser->>Types: new(format, sections, imports, exports, architecture, endianness)
 Types-->>Parser: ContainerInfo
 Parser-->>CLI: ContainerInfo
 
 CLI->>Output: format(container_info)
 
 Note over Output: Include architecture and endianness in output
 
 alt JSON Output
 Output->>User: {"format": "ELF", "architecture": "X86_64", "endianness": "Little", ...}
 else Human-Readable
 Output->>User: Binary: ELF (x86_64, little-endian) Sections: ...
 end

## Proposed File Changes

### src/types.rs(MODIFY)

Add two new enums after the existing `Encoding` enum:

1. **`Architecture` enum** with variants for common CPU architectures:
 - `X86` - 32-bit x86 (IA-32)
 - `X86_64` - 64-bit x86 (AMD64/Intel 64)
 - `ARM` - 32-bit ARM
 - `ARM64` - 64-bit ARM (AArch64)
 - `RISCV32` - 32-bit RISC-V
 - `RISCV64` - 64-bit RISC-V
 - `PowerPC` - PowerPC architecture
 - `PowerPC64` - 64-bit PowerPC
 - `MIPS` - MIPS architecture
 - `MIPS64` - 64-bit MIPS
 - `S390x` - IBM System/390 64-bit
 - `SPARC` - SPARC architecture
 - `Unknown(String)` - For unsupported architectures with descriptive string

2. **`Endianness` enum** with variants:
 - `Little` - Little-endian byte order
 - `Big` - Big-endian byte order
 - `Unknown` - When endianness cannot be determined

Both enums should derive `Debug`, `Clone`, `Copy`, `PartialEq`, `Eq`, `Serialize`, `Deserialize` for consistency with existing types.

Add two new fields to the `ContainerInfo` struct:
 - `pub architecture: Architecture` - The detected CPU architecture
 - `pub endianness: Endianness` - The byte order of the binary

Update the `ContainerInfo::new()` constructor to accept these two new parameters and initialize the fields. Since the struct is marked `#[non_exhaustive]`, this change is forward-compatible.

Add documentation comments explaining the purpose of each architecture variant and when each endianness value is used.

### src/container/elf.rs(MODIFY)

References: 

- src/types.rs(MODIFY)

Add architecture detection logic to the `ElfParser::parse()` method:

1. **Create helper method `detect_architecture()`** that maps ELF `e_machine` values to the `Architecture` enum:
 - Use `goblin::elf::header::EM_*` constants (e.g., `EM_X86_64`, `EM_AARCH64`, `EM_386`, `EM_ARM`, `EM_RISCV`, `EM_PPC`, `EM_PPC64`, `EM_MIPS`, `EM_S390`, `EM_SPARC`)
 - Map known values to corresponding `Architecture` variants
 - For unknown values, use `Architecture::Unknown(format!("ELF machine type: {}", e_machine))`

2. **Create helper method `detect_endianness()`** that reads the ELF header's `e_ident[EI_DATA]` field:
 - `ELFDATA2LSB` (1) maps to `Endianness::Little`
 - `ELFDATA2MSB` (2) maps to `Endianness::Big`
 - Other values map to `Endianness::Unknown`

3. **Update the `parse()` method** to call these helper methods after parsing the ELF header and pass the detected architecture and endianness to `ContainerInfo::new()`.

4. **Add unit tests** in the `tests` module:
 - Test architecture detection for common ELF machine types
 - Test endianness detection for both little and big-endian
 - Test that unknown machine types are handled gracefully
 - Consider using the existing test binary at `tests/fixtures/test_binary_elf` for integration testing

Reference the goblin documentation for ELF header constants and ensure proper error handling throughout.

### src/container/pe.rs(MODIFY)

References: 

- src/types.rs(MODIFY)

Add architecture detection logic to the `PeParser::parse()` method:

1. **Create helper method `detect_architecture()`** that maps PE COFF machine types to the `Architecture` enum:
 - Use `goblin::pe::header::COFF_MACHINE_*` constants (e.g., `IMAGE_FILE_MACHINE_AMD64`, `IMAGE_FILE_MACHINE_I386`, `IMAGE_FILE_MACHINE_ARM64`, `IMAGE_FILE_MACHINE_ARMNT`, `IMAGE_FILE_MACHINE_RISCV32`, `IMAGE_FILE_MACHINE_RISCV64`, `IMAGE_FILE_MACHINE_RISCV128`)
 - Access via `pe.header.coff_header.machine`
 - Map known values to corresponding `Architecture` variants
 - For unknown values, use `Architecture::Unknown(format!("PE machine type: 0x{:04X}", machine))`

2. **Create helper method `detect_endianness()`** that returns `Endianness::Little`:
 - PE format is always little-endian by specification
 - Add a documentation comment explaining this invariant

3. **Update the `parse()` method** to call these helper methods after parsing the PE header and pass the detected architecture and endianness to `ContainerInfo::new()`.

4. **Add unit tests** in the `tests` module:
 - Test architecture detection for common PE machine types (AMD64, I386, ARM64)
 - Test that endianness is always Little
 - Test that unknown machine types are handled gracefully
 - Consider using the existing test binary at `tests/fixtures/test_binary_pe.exe` for integration testing

Reference the PE specification and goblin's PE header constants. The existing comprehensive documentation in this file (lines 10-98) should be extended to mention architecture detection.

### src/container/macho.rs(MODIFY)

References: 

- src/types.rs(MODIFY)

Add architecture detection logic to the `MachoParser` implementation:

1. **Create helper method `detect_architecture()`** that maps Mach-O CPU types to the `Architecture` enum:
 - Use `goblin::mach::cputype::*` constants (e.g., `CPU_TYPE_X86`, `CPU_TYPE_X86_64`, `CPU_TYPE_ARM`, `CPU_TYPE_ARM64`, `CPU_TYPE_POWERPC`, `CPU_TYPE_POWERPC64`)
 - Access via `macho.header.cputype`
 - Map known values to corresponding `Architecture` variants
 - For unknown values, use `Architecture::Unknown(format!("Mach-O CPU type: 0x{:08X}", cputype))`

2. **Create helper method `detect_endianness()`** that determines byte order from the Mach-O magic number:
 - Check `macho.header.magic` value
 - `MH_MAGIC` (0xfeedface) and `MH_MAGIC_64` (0xfeedfacf) indicate native endianness (typically little on modern systems)
 - `MH_CIGAM` (0xcefaedfe) and `MH_CIGAM_64` (0xcffaedfe) indicate swapped endianness
 - Use goblin's byte order detection or check the magic value directly
 - Most modern Mach-O binaries are little-endian (Intel/ARM64), but PowerPC was big-endian

3. **Update the `parse_single_macho()` method** to call these helper methods and pass the detected architecture and endianness to `ContainerInfo::new()`.

4. **Address the TODO comment at line 305** about parsing all architectures in fat binaries:
 - Currently, `parse_fat_binary()` only processes the first architecture
 - For Phase 1, keep the current behavior but document the architecture of the selected slice
 - Add a TODO comment referencing Phase 2 implementation for multi-architecture support

5. **Add unit tests** in the `tests` module:
 - Test architecture detection for common Mach-O CPU types (x86_64, ARM64)
 - Test endianness detection for both byte orders
 - Test that unknown CPU types are handled gracefully
 - Consider using the existing test binary at `tests/fixtures/test_binary_macho` for integration testing

Reference the Mach-O specification and goblin's Mach-O header constants.

### src/container/mod.rs(MODIFY)

References: 

- src/types.rs(MODIFY)
- src/container/elf.rs(MODIFY)
- src/container/pe.rs(MODIFY)
- src/container/macho.rs(MODIFY)

Update the module documentation to mention architecture detection capabilities:

1. **Enhance module-level documentation** to explain that container parsers now extract CPU architecture and endianness information in addition to sections, imports, and exports.

2. **No changes needed to the `ContainerParser` trait** - the trait's `parse()` method already returns `Result<ContainerInfo>`, and the updated `ContainerInfo` struct will include the new fields.

3. **No changes needed to `detect_format()` or `create_parser()`** - these functions work with the trait and don't need to be aware of the new fields.

The modular design with the `ContainerParser` trait means that changes are isolated to the individual parser implementations and the `ContainerInfo` struct.

### tests/integration_elf.rs(MODIFY)

References: 

- src/container/elf.rs(MODIFY)
- src/types.rs(MODIFY)

Add integration tests for ELF architecture detection:

1. **Add test `test_elf_architecture_detection()`** that:
 - Loads the test binary from `tests/fixtures/test_binary_elf`
 - Parses it using `ElfParser`
 - Asserts that the `architecture` field is set to a valid value (likely `Architecture::X86_64` or `Architecture::X86` depending on the test binary)
 - Asserts that the `endianness` field is set correctly (likely `Endianness::Little` for x86)

2. **Add test `test_elf_architecture_in_output()`** that:
 - Verifies that architecture information is included when the container info is used
 - This test ensures the new fields are properly integrated into the data flow

3. **Update existing tests** if they create `ContainerInfo` instances directly - they will need to provide the new architecture and endianness parameters.

Follow the existing test patterns in this file, which use the `insta` crate for snapshot testing.

### tests/integration_pe.rs(MODIFY)

References: 

- src/container/pe.rs(MODIFY)
- src/types.rs(MODIFY)

Add integration tests for PE architecture detection:

1. **Add test `test_pe_architecture_detection()`** that:
 - Loads the test binary from `tests/fixtures/test_binary_pe.exe` (if it exists)
 - Parses it using `PeParser`
 - Asserts that the `architecture` field is set to a valid value (likely `Architecture::X86_64` or `Architecture::X86` depending on the test binary)
 - Asserts that the `endianness` field is `Endianness::Little` (PE is always little-endian)

2. **Add test `test_pe_architecture_in_output()`** that:
 - Verifies that architecture information is included when the container info is used
 - This test ensures the new fields are properly integrated into the data flow

3. **Update existing tests** if they create `ContainerInfo` instances directly - they will need to provide the new architecture and endianness parameters.

Follow the existing test patterns in this file, which use the `insta` crate for snapshot testing.

### tests/integration_macho.rs(MODIFY)

References: 

- src/container/macho.rs(MODIFY)
- src/types.rs(MODIFY)

Add integration tests for Mach-O architecture detection:

1. **Add test `test_macho_architecture_detection()`** that:
 - Loads the test binary from `tests/fixtures/test_binary_macho`
 - Parses it using `MachoParser`
 - Asserts that the `architecture` field is set to a valid value (likely `Architecture::X86_64` or `Architecture::ARM64` depending on the test binary)
 - Asserts that the `endianness` field is set correctly (likely `Endianness::Little` for modern Mach-O binaries)

2. **Add test `test_macho_architecture_in_output()`** that:
 - Verifies that architecture information is included when the container info is used
 - This test ensures the new fields are properly integrated into the data flow

3. **Add test `test_macho_fat_binary_architecture()`** (if a fat binary test fixture is available):
 - Verifies that the architecture of the selected slice is correctly reported
 - Documents that only the first architecture is currently analyzed (Phase 1 limitation)

4. **Update existing tests** if they create `ContainerInfo` instances directly - they will need to provide the new architecture and endianness parameters.

Follow the existing test patterns in this file.

### README.md(MODIFY)

Update the README to document the new architecture detection feature:

1. **In the "What Makes Stringy Different" section** (around line 24), add a new bullet point:
 - **Architecture-Aware**: Detects and reports CPU architecture (x86, ARM, RISC-V, etc.) and endianness for better binary analysis

2. **In the "Features" section** (around line 52), add a new bullet point:
 - **Architecture detection**: Identifies CPU architecture and byte order from binary headers

3. **In the "Example Output" section**, update the JSON example (around line 138) to include the new fields:
 ```json
 {
 "format": "PE",
 "architecture": "X86_64",
 "endianness": "Little",
 "text": "https://api.example.com/v1/",
 ...
 }
 ```

4. **In the "Current Capabilities" section** (around line 182), add:
 - **Architecture Detection**: Automatically detect CPU architecture (x86, x86_64, ARM, ARM64, RISC-V, PowerPC, MIPS, etc.) and endianness from binary headers

5. **In the "Architecture Highlights" section** (around line 200), add:
 - **Architecture Awareness**: Captures CPU architecture and endianness for format-specific analysis

Keep the tone consistent with the existing humorous style while being informative.

### docs/src/architecture.md(MODIFY)

References: 

- src/types.rs(MODIFY)

Create a new documentation page explaining architecture detection:

1. **Title**: "Architecture Detection"

2. **Introduction section** explaining:
 - Why architecture detection is important for binary analysis
 - How StringyMcStringFace detects CPU architecture and endianness
 - The relationship between architecture and string extraction strategies

3. **Supported Architectures section** listing:
 - All architectures in the `Architecture` enum with descriptions
 - Common binary formats for each architecture (e.g., x86_64 in ELF/PE/Mach-O)
 - Platform associations (e.g., ARM64 common in iOS/Android)

4. **Endianness section** explaining:
 - What endianness means and why it matters
 - How endianness affects UTF-16 string extraction
 - Which architectures typically use which byte order

5. **Format-Specific Details section** with subsections for:
 - **ELF**: How architecture is detected from `e_machine` and `e_ident[EI_DATA]`
 - **PE**: How architecture is detected from COFF header machine type
 - **Mach-O**: How architecture is detected from CPU type and magic number

6. **Multi-Architecture Binaries section** explaining:
 - What fat/universal binaries are (Mach-O)
 - Current behavior (Phase 1: first architecture only)
 - Future plans (Phase 2: all architectures)

7. **Output Format section** showing:
 - How architecture appears in JSON output
 - How architecture appears in human-readable output
 - Example outputs for different architectures

8. **Use Cases section** with examples:
 - Cross-platform binary analysis
 - Identifying target platform for unknown binaries
 - Verifying binary architecture matches expected platform

Use the same mdBook format as other documentation files in `docs/src/`.

### docs/src/SUMMARY.md(MODIFY)

References: 

- docs/src/architecture.md(MODIFY)

Add the new architecture documentation page to the table of contents:

1. **Insert a new entry** after the "Binary Formats" section (around line 7):
 ```markdown
 - [Architecture Detection](architecture.md)
 ```

This ensures the new documentation page is accessible in the mdBook navigation.

### .kiro/specs/stringy-binary-analyzer/tasks.md(MODIFY)

Add a new task section for architecture detection implementation:

1. **Insert a new task** after task 5 (Mach-O section classification) and before task 6 (string extraction framework):

```markdown
- [ ] 5.2. Implement CPU architecture detection and reporting

 - Add Architecture and Endianness enums to src/types.rs
 - Add architecture and endianness fields to ContainerInfo struct
 - Implement architecture detection in ELF parser (e_machine mapping)
 - Implement architecture detection in PE parser (COFF machine type mapping)
 - Implement architecture detection in Mach-O parser (cputype mapping)
 - Add endianness detection for all three formats
 - Update integration tests to verify architecture detection
 - Update documentation to explain architecture detection
 - _Requirements: 1.1, 1.2, 1.3, 9.1_
 - _Related: Issue #72 - Phase 1_
```

2. **Add a future task** for Phase 2 (multi-architecture support):

```markdown
- [ ] 5.3. Add multi-architecture binary support (Mach-O fat binaries)

 - Modify Mach-O parser to iterate through all architectures in fat binaries
 - Add CLI options for architecture selection (--arch, --all-archs)
 - Return architecture-specific ContainerInfo for each slice
 - Add integration tests with multi-architecture test binaries
 - Update documentation for multi-architecture analysis
 - _Requirements: 1.3_
 - _Related: Issue #72 - Phase 2_
```

This tracks the implementation progress and links it to the requirements and issue #72.
Developer Humor

🏗️ Architecture Detection: A Binary's Identity Crisis\n>\n> \Am I x86 or ARM?\ the binary cried,\n> *\My architecture I cannot hide!*\n> StringyMcStringFace looked deep within,\n> *\You're ARM64, little-endian!*\n> The binary smiled, identity found,\n> No longer lost, but architecture-bound! 🎯

Execution Information

Branch: main
Commit: 08cd31b
New Plan

Observations

The enhanced issue #72 provides a clear phased approach for architecture detection and multi-architecture support. The codebase uses goblin for parsing, which supports extracting architecture information from all three formats. The current Mach-O parser only handles the first architecture in fat binaries, as noted in the TODO. The CLI is basic with clap, making it straightforward to add architecture selection flags. Integration tests exist for each format, which can be extended to verify multi-architecture parsing. This enhancement aligns with requirements for format-specific knowledge and prepares for future architecture-specific optimizations.

Approach

Implement architecture awareness in two phases: (1) Add architecture and endianness detection to the data model and individual parsers, updating the output to include this metadata; (2) Enhance Mach-O fat binary handling to parse all architectures, add CLI flags for selection, and support multi-architecture analysis by returning a collection of ContainerInfo instances. This maintains backward compatibility by treating single-architecture binaries as collections of one, enabling incremental adoption without breaking existing functionality.

Reasoning

Explored the repository structure and key files including src/main.rs for CLI setup, src/container/mod.rs for the parser trait, individual parser implementations (elf.rs, pe.rs, macho.rs), type definitions in types.rs, existing integration tests, documentation, and task tracking in .kiro/specs/. Confirmed goblin provides architecture details and identified the need to update the parser trait for multi-architecture support.

Proposed File Changes

📄 src/types.rs ^(MODIFY) 🔗

Add two new enums after the existing Encoding enum:

Architecture enum with variants:

X86 (32-bit x86)

X86_64 (64-bit x86)

ARM (32-bit ARM)

ARM64 (64-bit ARM/AArch64)

RISC_V32 (32-bit RISC-V)

RISC_V64 (64-bit RISC-V)

PowerPC (PowerPC)

PowerPC64 (64-bit PowerPC)

MIPS (MIPS)

MIPS64 (64-bit MIPS)

S390x (IBM z/Architecture 64-bit)

SPARC (SPARC)

Unknown(String) (for unsupported architectures)

Derive Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize.

Endianness enum with variants:

Little

Big

Unknown

Derive the same traits as above.

Add fields to ContainerInfo:

pub architecture: Architecture

pub endianness: Endianness

Update ContainerInfo::new() to accept and set these parameters. Since #[non_exhaustive], this is forward-compatible.

Add documentation for each variant explaining mapping from binary headers.

📄 src/container/mod.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Update the ContainerParser trait:

Change fn parse(&self, data: &[u8]) -> Result<ContainerInfo>; to fn parse(&self, data: &[u8]) -> Result<Vec<ContainerInfo>>;

This supports multi-architecture binaries by returning a collection, with single-architecture parsers returning a vec![info].

Update module documentation to explain the change and its purpose for fat binary support.

No changes to detect_format() or create_parser() needed, as they remain the same.

Update tests:

test_parser_creation() remains valid.

Add a test test_parse_returns_vec() that verifies single parsers return Vec with length 1.

Reference the updated trait in documentation.

📄 src/container/elf.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Update ElfParser::parse() to return Ok(vec![container_info]) after creating the ContainerInfo with detected architecture and endianness.

Implement helper methods:

detect_architecture(e_machine: u16) -> Architecture mapping goblin::elf::header::EM_* constants (e.g., EM_X86_64 -> X86_64, EM_AARCH64 -> ARM64, EM_386 -> X86, etc.). Use Unknown for unmapped.

detect_endianness(e_ident: &[u8; 16]) -> Endianness based on EI_DATA (1=Little, 2=Big, else Unknown).

Call these after parsing the ELF header via goblin.

Add unit tests for the helpers and updated parse method.

Update integration tests to expect Vec and assert len==1 with correct arch/endian.

📄 src/container/pe.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Update PeParser::parse() to return Ok(vec![container_info]) with detected architecture and endianness.

Implement helper methods:

detect_architecture(machine: u16) -> Architecture mapping goblin::pe::header::COFF_MACHINE_* (e.g., AMD64 -> X86_64, I386 -> X86, ARM64 -> ARM64, etc.). Use Unknown for unmapped.

detect_endianness() -> Endianness always returns Little (PE spec), with doc comment.

Call after parsing PE header.

Add unit tests for helpers and updated parse.

Update integration tests to expect Vec, len==1, correct arch (Little endian).

📄 src/container/macho.rs ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Update MachoParser::parse() to handle both single and fat binaries, returning Vec<ContainerInfo>.

For single Mach-O: call parse_single_macho() and return vec![info].

For fat binaries in parse_fat_binary():

Remove TODO at line 305.

Iterate over fat.archs, for each:

Extract slice: &data[fat.archs[i].offset as usize..]

Call parse_single_macho(slice) to get info for that arch.

Collect all infos into Vec.

Implement/update helpers:

detect_architecture(cputype: u32) -> Architecture mapping goblin::mach::cputype::* (e.g., CPU_TYPE_X86_64 -> X86_64, CPU_TYPE_ARM64 -> ARM64, etc.).

detect_endianness(magic: u32) -> Endianness based on magic (e.g., MH_CIGAM* indicate big-endian/swapped).

In parse_single_macho(), use these and return ContainerInfo with arch/endian.

Add unit tests for single/fat parsing, helpers.

Update integration tests: add test for fat binary fixture (create if needed at tests/fixtures/fat_macho), assert multiple ContainerInfo with different arches.

📄 src/main.rs ^(MODIFY) 🔗

References

📄 src/container/mod.rs ^(MODIFY)

📄 src/types.rs ^(MODIFY)

Enhance the Cli struct with architecture flags:

#[arg(long, value_name = "ARCH", help = "Select specific architecture from fat binary (e.g., 'x86_64', 'arm64')")] arch: Option<String>,

#[arg(long, help = "Analyze all architectures in fat/multi-architecture binaries")] all_arches: bool,

Update main():

After let cli = Cli::parse();

Load file data.

Detect format, create parser.

Let containers = parser.parse(&data)?;

If !all_arches && arch.is_some() {

Filter containers to match arch name (compare to_ string of architecture field).

If none match, error or warn.

} else if containers.len() > 1 && !all_arches && arch.is_none() {

Take first (default behavior).

containers = vec![containers[0].clone()];

}

Then proceed to extraction pipeline (TODO), processing each ContainerInfo in containers, attributing strings to their architecture.

Add error handling for file I/O and parsing.

Update command about to mention architecture support.

📄 tests/integration_elf.rs ^(MODIFY) 🔗

References

📄 src/container/elf.rs ^(MODIFY)

Update tests to expect Result<Vec<ContainerInfo>, _> from parse.

test_elf_architecture_detection(): assert containers.len() == 1, containers[0].architecture == expected, endianness == Little.

Add test_elf_parse_returns_vec(): assert len==1 for single arch.

Update any direct ContainerInfo creation to use vec![new(...)].

Use insta snapshots for the vec output if applicable.

📄 tests/integration_pe.rs ^(MODIFY) 🔗

References

📄 src/container/pe.rs ^(MODIFY)

Update tests to expect Vec<ContainerInfo>.

test_pe_architecture_detection(): assert len==1, architecture correct, endianness==Little.

Add test_pe_parse_returns_vec(): assert len==1.

Update direct creations accordingly.

Use existing PE fixture.

📄 tests/integration_macho.rs ^(MODIFY) 🔗

References

📄 src/container/macho.rs ^(MODIFY)

Update tests for Vec<ContainerInfo>.

test_macho_architecture_detection(): for single, assert len==1, correct arch/endian.

Add test_macho_fat_binary(): load fat fixture (add if needed), assert len>1, each has different architecture.

test_macho_parse_returns_vec(): for single, len==1; for fat, len==number of arches.

Update direct creations.

Ensure tests cover endianness variation if possible.

📄 README.md ^(MODIFY) 🔗

References

📄 src/types.rs ^(MODIFY)

Update sections:

'What Makes Stringy Different': Add bullet for architecture detection and multi-arch support.

'Features': Add 'Multi-architecture binary analysis (Mach-O fat binaries)' and 'Architecture selection via CLI flags'.

'Example Output': Show JSON with 'architecture' and 'endianness' fields; for multi, example with array of analyses.

'Current Capabilities': List architecture detection for all formats, fat binary support.

'CLI Usage': Add examples: stringy --arch arm64 file , stringy --all-arches file.

Maintain humorous tone.

📄 docs/src/architecture.md ^(MODIFY) 🔗

References

📄 src/main.rs ^(MODIFY)

📄 src/container/mod.rs ^(MODIFY)

Expand the documentation:

Add section 'Multi-Architecture Binaries': Explain fat/universal binaries, how parsing works (Vec), CLI flags usage.

'CLI Integration': Detail --arch and --all-arches behavior, filtering logic.

'Output Attribution': How strings are attributed to specific architectures in multi-arch analysis.

'Limitations': Single arch default for non-fat, future Phase 3 for arch-specific extraction.

Update 'Format-Specific Details' to mention multi-support for Mach-O.

Use mdBook format, add examples.

📄 docs/src/SUMMARY.md ^(MODIFY) 🔗

References

📄 docs/src/architecture.md ^(MODIFY)

Ensure Architecture Detection is listed after Binary Formats.

Add subsection if needed: - Multi-Architecture Support

📄 .kiro/specs/stringy-binary-analyzer/tasks.md ^(MODIFY) 🔗

Insert after task 5:

5.2. Implement CPU architecture detection (Phase 1)

Add enums and fields to types.rs

Update parsers for arch/endian detection

Update trait to return Vec

Add integration tests

Update docs and README

Requirements: 1.1, 1.2, 1.3

5.3. Implement multi-architecture support (Phase 2)

Enhance Mach-O fat binary parsing

Add CLI flags --arch and --all-arches in main.rs

Handle Vec in main pipeline

Add fat binary tests

Update output for multi-arch

Requirements: 1.3

5.4. Architecture-specific string extraction (Phase 3, future)

Endianness-aware UTF-16

Arch-specific heuristics

Requirements: 2.1, 3.1

Link to Issue #72.

Diagram
sequenceDiagram
 participant User
 participant CLI
 participant Detector as Format Detector
 participant Parser as Container Parser
 participant Containers as Vec<ContainerInfo>
 participant Extractor as String Extractor
 participant Output as Output Formatter

 User->>CLI: stringy [flags] binary_file
 Note over CLI: --arch=arm64 or --all-arches
 CLI->>Detector: detect_format(data)
 Detector-->>CLI: BinaryFormat::MachO
 CLI->>Parser: create_parser(format)
 Parser->>Parser: parse(data)

 alt Single Architecture (ELF/PE/Mach-O thin)
 Parser->>Parser: detect_arch_endian()
 Parser->>Containers: vec![ContainerInfo {arch, endian, ...}]
 else Fat Binary (Mach-O universal)
 loop for each arch in fat.archs
 Parser->>Parser: parse_single_slice(slice)
 Parser->>Parser: detect_arch_endian_for_slice()
 Parser->>Containers: push ContainerInfo {arch, endian, ...}
 end
 end

 CLI->>Containers: filter_by_arch(if --arch) or take_all(if --all-arches) or first(default)
 Containers-->>CLI: filtered_vec

 loop for each container in filtered_vec
 CLI->>Extractor: extract_strings(container)
 Extractor-->>CLI: strings_with_arch Attribution
 end

 CLI->>Output: format(strings, containers)
 alt JSON
 Output->>User: [{"arch": "X86_64", "strings": [...]}, {"arch": "ARM64", "strings": [...]}]
 else Human-readable
 Output->>User: Architecture: X86_64 (little-endian)\nStrings: ...\n---\nArchitecture: ARM64 (little-endian)\nStrings: ...
 end
Loading
Import In IDE
🤖 Prompt for AI Agents
I have created the following plan after thorough exploration and analysis of the codebase. Follow the below plan verbatim. Trust the files and references. Do not re-verify what's written in the plan. Explore only when absolutely necessary. First implement all the proposed file changes and then I'll review all the changes together at the end.

### Observations

The enhanced issue #72 provides a clear phased approach for architecture detection and multi-architecture support. The codebase uses goblin for parsing, which supports extracting architecture information from all three formats. The current Mach-O parser only handles the first architecture in fat binaries, as noted in the TODO. The CLI is basic with clap, making it straightforward to add architecture selection flags. Integration tests exist for each format, which can be extended to verify multi-architecture parsing. This enhancement aligns with requirements for format-specific knowledge and prepares for future architecture-specific optimizations.

### Approach

Implement architecture awareness in two phases: (1) Add architecture and endianness detection to the data model and individual parsers, updating the output to include this metadata; (2) Enhance Mach-O fat binary handling to parse all architectures, add CLI flags for selection, and support multi-architecture analysis by returning a collection of ContainerInfo instances. This maintains backward compatibility by treating single-architecture binaries as collections of one, enabling incremental adoption without breaking existing functionality.

### Reasoning

Explored the repository structure and key files including `src/main.rs` for CLI setup, `src/container/mod.rs` for the parser trait, individual parser implementations (`elf.rs`, `pe.rs`, `macho.rs`), type definitions in `types.rs`, existing integration tests, documentation, and task tracking in `.kiro/specs/`. Confirmed goblin provides architecture details and identified the need to update the parser trait for multi-architecture support.

## Mermaid Diagram

sequenceDiagram
 participant User
 participant CLI
 participant Detector as Format Detector
 participant Parser as Container Parser
 participant Containers as Vec<ContainerInfo>
 participant Extractor as String Extractor
 participant Output as Output Formatter

 User->>CLI: stringy [flags] binary_file
 Note over CLI: --arch=arm64 or --all-arches
 CLI->>Detector: detect_format(data)
 Detector-->>CLI: BinaryFormat::MachO
 CLI->>Parser: create_parser(format)
 Parser->>Parser: parse(data)

 alt Single Architecture (ELF/PE/Mach-O thin)
 Parser->>Parser: detect_arch_endian()
 Parser->>Containers: vec![ContainerInfo {arch, endian, ...}]
 else Fat Binary (Mach-O universal)
 loop for each arch in fat.archs
 Parser->>Parser: parse_single_slice(slice)
 Parser->>Parser: detect_arch_endian_for_slice()
 Parser->>Containers: push ContainerInfo {arch, endian, ...}
 end
 end

 CLI->>Containers: filter_by_arch(if --arch) or take_all(if --all-arches) or first(default)
 Containers-->>CLI: filtered_vec

 loop for each container in filtered_vec
 CLI->>Extractor: extract_strings(container)
 Extractor-->>CLI: strings_with_arch Attribution
 end

 CLI->>Output: format(strings, containers)
 alt JSON
 Output->>User: [{"arch": "X86_64", "strings": [...]}, {"arch": "ARM64", "strings": [...]}]
 else Human-readable
 Output->>User: Architecture: X86_64 (little-endian)\nStrings: ...\n---\nArchitecture: ARM64 (little-endian)\nStrings: ...
 end

## Proposed File Changes

### src/types.rs(MODIFY)

Add two new enums after the existing `Encoding` enum:

1. **`Architecture` enum** with variants:
 - `X86` (32-bit x86)
 - `X86_64` (64-bit x86)
 - `ARM` (32-bit ARM)
 - `ARM64` (64-bit ARM/AArch64)
 - `RISC_V32` (32-bit RISC-V)
 - `RISC_V64` (64-bit RISC-V)
 - `PowerPC` (PowerPC)
 - `PowerPC64` (64-bit PowerPC)
 - `MIPS` (MIPS)
 - `MIPS64` (64-bit MIPS)
 - `S390x` (IBM z/Architecture 64-bit)
 - `SPARC` (SPARC)
 - `Unknown(String)` (for unsupported architectures)

 Derive `Debug`, `Clone`, `Copy`, `PartialEq`, `Eq`, `Serialize`, `Deserialize`.

2. **`Endianness` enum** with variants:
 - `Little`
 - `Big`
 - `Unknown`

 Derive the same traits as above.

Add fields to `ContainerInfo`:
 - `pub architecture: Architecture`
 - `pub endianness: Endianness`

Update `ContainerInfo::new()` to accept and set these parameters. Since `#[non_exhaustive]`, this is forward-compatible.

Add documentation for each variant explaining mapping from binary headers.

### src/container/mod.rs(MODIFY)

References: 

- src/types.rs(MODIFY)

Update the `ContainerParser` trait:

- Change `fn parse(&self, data: &[u8]) -> Result<ContainerInfo>;` to `fn parse(&self, data: &[u8]) -> Result<Vec<ContainerInfo>>;`

This supports multi-architecture binaries by returning a collection, with single-architecture parsers returning a `vec![info]`.

Update module documentation to explain the change and its purpose for fat binary support.

No changes to `detect_format()` or `create_parser()` needed, as they remain the same.

Update tests:
- `test_parser_creation()` remains valid.
- Add a test `test_parse_returns_vec()` that verifies single parsers return Vec with length 1.

Reference the updated trait in documentation.

### src/container/elf.rs(MODIFY)

References: 

- src/types.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Update `ElfParser::parse()` to return `Ok(vec![container_info])` after creating the `ContainerInfo` with detected architecture and endianness.

Implement helper methods:
- `detect_architecture(e_machine: u16) -> Architecture` mapping goblin::elf::header::EM_* constants (e.g., EM_X86_64 -> X86_64, EM_AARCH64 -> ARM64, EM_386 -> X86, etc.). Use `Unknown` for unmapped.
- `detect_endianness(e_ident: &[u8; 16]) -> Endianness` based on EI_DATA (1=Little, 2=Big, else Unknown).

Call these after parsing the ELF header via goblin.

Add unit tests for the helpers and updated parse method.

Update integration tests to expect Vec<ContainerInfo> and assert len==1 with correct arch/endian.

### src/container/pe.rs(MODIFY)

References: 

- src/types.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Update `PeParser::parse()` to return `Ok(vec![container_info])` with detected architecture and endianness.

Implement helper methods:
- `detect_architecture(machine: u16) -> Architecture` mapping goblin::pe::header::COFF_MACHINE_* (e.g., AMD64 -> X86_64, I386 -> X86, ARM64 -> ARM64, etc.). Use `Unknown` for unmapped.
- `detect_endianness() -> Endianness` always returns `Little` (PE spec), with doc comment.

Call after parsing PE header.

Add unit tests for helpers and updated parse.

Update integration tests to expect Vec<ContainerInfo>, len==1, correct arch (Little endian).

### src/container/macho.rs(MODIFY)

References: 

- src/types.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Update `MachoParser::parse()` to handle both single and fat binaries, returning `Vec<ContainerInfo>`.

For single Mach-O: call `parse_single_macho()` and return `vec![info]`.

For fat binaries in `parse_fat_binary()`:
- Remove TODO at line 305.
- Iterate over `fat.archs`, for each:
 - Extract slice: `&data[fat.archs[i].offset as usize..]`
 - Call `parse_single_macho(slice)` to get info for that arch.
 - Collect all infos into Vec.

Implement/update helpers:
- `detect_architecture(cputype: u32) -> Architecture` mapping goblin::mach::cputype::* (e.g., CPU_TYPE_X86_64 -> X86_64, CPU_TYPE_ARM64 -> ARM64, etc.).
- `detect_endianness(magic: u32) -> Endianness` based on magic (e.g., MH_CIGAM* indicate big-endian/swapped).

In `parse_single_macho()`, use these and return ContainerInfo with arch/endian.

Add unit tests for single/fat parsing, helpers.

Update integration tests: add test for fat binary fixture (create if needed at `tests/fixtures/fat_macho`), assert multiple ContainerInfo with different arches.

### src/main.rs(MODIFY)

References: 

- src/container/mod.rs(MODIFY)
- src/types.rs(MODIFY)

Enhance the `Cli` struct with architecture flags:

- `#[arg(long, value_name = "ARCH", help = "Select specific architecture from fat binary (e.g., 'x86_64', 'arm64')")] arch: Option<String>,`
- `#[arg(long, help = "Analyze all architectures in fat/multi-architecture binaries")] all_arches: bool,`

Update `main()`:
- After `let cli = Cli::parse();`
- Load file data.
- Detect format, create parser.
- Let containers = parser.parse(&data)?;
- If !all_arches && arch.is_some() {
 - Filter containers to match arch name (compare to_ string of architecture field).
 - If none match, error or warn.
- } else if containers.len() > 1 && !all_arches && arch.is_none() {
 - Take first (default behavior).
 - containers = vec![containers[0].clone()];
- }
- Then proceed to extraction pipeline (TODO), processing each ContainerInfo in containers, attributing strings to their architecture.

Add error handling for file I/O and parsing.

Update command about to mention architecture support.

### tests/integration_elf.rs(MODIFY)

References: 

- src/container/elf.rs(MODIFY)

Update tests to expect `Result<Vec<ContainerInfo>, _>` from parse.

- `test_elf_architecture_detection()`: assert containers.len() == 1, containers[0].architecture == expected, endianness == Little.
- Add `test_elf_parse_returns_vec()`: assert len==1 for single arch.
- Update any direct ContainerInfo creation to use vec![new(...)].

Use insta snapshots for the vec output if applicable.

### tests/integration_pe.rs(MODIFY)

References: 

- src/container/pe.rs(MODIFY)

Update tests to expect `Vec<ContainerInfo>`.

- `test_pe_architecture_detection()`: assert len==1, architecture correct, endianness==Little.
- Add `test_pe_parse_returns_vec()`: assert len==1.
- Update direct creations accordingly.

Use existing PE fixture.

### tests/integration_macho.rs(MODIFY)

References: 

- src/container/macho.rs(MODIFY)

Update tests for `Vec<ContainerInfo>`.

- `test_macho_architecture_detection()`: for single, assert len==1, correct arch/endian.
- Add `test_macho_fat_binary()`: load fat fixture (add if needed), assert len>1, each has different architecture.
- `test_macho_parse_returns_vec()`: for single, len==1; for fat, len==number of arches.
- Update direct creations.

Ensure tests cover endianness variation if possible.

### README.md(MODIFY)

References: 

- src/types.rs(MODIFY)

Update sections:

- 'What Makes Stringy Different': Add bullet for architecture detection and multi-arch support.
- 'Features': Add 'Multi-architecture binary analysis (Mach-O fat binaries)' and 'Architecture selection via CLI flags'.
- 'Example Output': Show JSON with 'architecture' and 'endianness' fields; for multi, example with array of analyses.
- 'Current Capabilities': List architecture detection for all formats, fat binary support.
- 'CLI Usage': Add examples: `stringy --arch arm64 file` , `stringy --all-arches file`.

Maintain humorous tone.

### docs/src/architecture.md(MODIFY)

References: 

- src/main.rs(MODIFY)
- src/container/mod.rs(MODIFY)

Expand the documentation:

- Add section 'Multi-Architecture Binaries': Explain fat/universal binaries, how parsing works (Vec<ContainerInfo>), CLI flags usage.
- 'CLI Integration': Detail --arch and --all-arches behavior, filtering logic.
- 'Output Attribution': How strings are attributed to specific architectures in multi-arch analysis.
- 'Limitations': Single arch default for non-fat, future Phase 3 for arch-specific extraction.
- Update 'Format-Specific Details' to mention multi-support for Mach-O.

Use mdBook format, add examples.

### docs/src/SUMMARY.md(MODIFY)

References: 

- docs/src/architecture.md(MODIFY)

Ensure [Architecture Detection](architecture.md) is listed after Binary Formats.

Add subsection if needed: - [Multi-Architecture Support](architecture.md#multi-architecture-binaries)

### .kiro/specs/stringy-binary-analyzer/tasks.md(MODIFY)

Insert after task 5:

- [ ] 5.2. Implement CPU architecture detection (Phase 1)
 - Add enums and fields to types.rs
 - Update parsers for arch/endian detection
 - Update trait to return Vec<ContainerInfo>
 - Add integration tests
 - Update docs and README
 - _Requirements: 1.1, 1.2, 1.3_

- [ ] 5.3. Implement multi-architecture support (Phase 2)
 - Enhance Mach-O fat binary parsing
 - Add CLI flags --arch and --all-arches in main.rs
 - Handle Vec in main pipeline
 - Add fat binary tests
 - Update output for multi-arch
 - _Requirements: 1.3_

- [ ] 5.4. Architecture-specific string extraction (Phase 3, future)
 - Endianness-aware UTF-16
 - Arch-specific heuristics
 - _Requirements: 2.1, 3.1_

Link to Issue #72.
Developer Humor

🔄 Fat Binary Diet Plan\n>\n> Why did the Mach-O fat binary go on a diet?\n> It had too many architectures weighing it down!\n> *StringyMcStringFace said, \No worries, I'll parse them all—**\n> *x86_64 for breakfast, ARM64 for lunch!*\n> Now it's slim, trim, and fully analyzed. 💪🍎

Execution Information

Branch: main
Commit: 08cd31b

Epic: Architecture-Specific Binary Analysis Features #72

Description

Overview

Current State

Problem Statement

Proposed Solutions

1. Architecture Detection and Metadata

2. ARM64-Specific Features

3. x86-64 Optimizations

4. RISC-V Support (See #75)

5. Multi-Architecture Binary Handling

6. Architecture-Aware Scoring

Sub-Issues and Tasks

Success Criteria

Technical Considerations

Related Issues

References

Activity

traycerai commented on Nov 11, 2025

Plan

Observations

Approach

Reasoning

Proposed File Changes

Diagram

Import In IDE

Developer Humor

Supported Commands (Inside Comments)

Supported Commands (Inside Description)

Community

unclesp1d3r commented on Nov 11, 2025

coderabbitai commented on Nov 11, 2025

✨ Key Changes

unclesp1d3r commented on Nov 11, 2025

Problem Statement

Current Limitations

1. No Architecture Information in Output

2. Limited Fat Binary Support

3. No Endianness Handling

Proposed Solution

Phase 1: Architecture Detection and Reporting

Phase 2: Multi-Architecture Binary Support

Phase 3: Architecture-Specific String Extraction (Future)

Implementation Plan

Step 1: Define Architecture Types

Step 2: Extract Architecture from ELF

Step 3: Extract Architecture from PE

Step 4: Extract Architecture from Mach-O

Step 5: Update Output Formats

Step 6: Multi-Architecture Support (Mach-O)

Benefits

Testing Strategy

Related Issues

unclesp1d3r commented on Nov 11, 2025

unclesp1d3r commented on Nov 11, 2025

traycerai commented on Nov 11, 2025

Observations

Approach

Reasoning

Proposed File Changes

Diagram

Import In IDE

Developer Humor

Observations

Approach

Reasoning

Proposed File Changes

Diagram

Import In IDE

Developer Humor

Metadata

Metadata

Assignees

Labels

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