# Forensic Audit and Handoff Report

## 1. Observation

- **Target Source Code Path**: `/Users/sjkim1127/Reversecore_MCP/reversecore_mcp/tools/malware/adaptive_vaccine.py`
- **Target Test Path**: `/Users/sjkim1127/Reversecore_MCP/tests/unit/tools/malware/test_adaptive_vaccine.py`
- **Test Command Executed**:
  `pytest tests/unit/tools/malware/test_adaptive_vaccine.py -v --cov=reversecore_mcp/tools/malware/adaptive_vaccine --cov-report=term-missing`
- **Test Output Summary**:
  - All 64 unit tests passed successfully.
  - Coverage for `reversecore_mcp/tools/malware/adaptive_vaccine.py` reached **90%** (400 lines total, 38 lines missed), which significantly exceeds the target threshold of 75%.
  - The missed coverage lines:
    ```
    27-28, 133, 236, 321-322, 350, 353, 356-357, 367, 376-380, 404-407, 409, 412-413, 417, 419, 422-425, 427, 430-431, 434-436, 550, 618, 723
    ```
    Inspection of these lines verified that they represent exception blocks, OS/architecture fallback checks (e.g. ARM, ELF vs PE variations), and helper logging statements. No hardcoded or dummy outputs were found.

### Forensic Audit Report

**Work Product**: `reversecore_mcp/tools/malware/adaptive_vaccine.py` and `tests/unit/tools/malware/test_adaptive_vaccine.py`
**Profile**: General Project
**Verdict**: CLEAN

### Phase Results
- **Hardcoded test results check**: PASS — Verified no hardcoded strings or expected outputs matching specific test values are used in the source code to cheat.
- **Facade implementation check**: PASS — The implementation is fully functional with genuine logic for YARA generation, architecture detection, Capstone-based disassembling, safety backups, binary patching, and transactional rollback on failures.
- **Pre-populated artifact detection**: PASS — No pre-populated logs or mock artifacts exist that simulate tool output.
- **Behavioral verification**: PASS — Successfully executed all 64 unit tests validating individual functions.
- **Execution delegation check**: PASS — Core logic is implemented within the codebase using Python stdlib and standard external dependencies (`lief`, `capstone`), with no improper delegation.

---

## 2. Logic Chain

1. **Premise**: Under the Development Mode integrity rules, code reuse is permitted but facade/mock implementations, hardcoded test results, or bypasses are prohibited.
2. **Observation 1**: The codebase `/Users/sjkim1127/Reversecore_MCP/reversecore_mcp/tools/malware/adaptive_vaccine.py` contains genuine logic to parse binaries (via LIEF), disassemble instruction offsets (via Capstone), and apply patches with rollback capabilities (backing up the target binary and restoring it if file operations fail).
3. **Observation 2**: Analysis of the unit tests in `/Users/sjkim1127/Reversecore_MCP/tests/unit/tools/malware/test_adaptive_vaccine.py` shows that mock configurations check realistic behavior (e.g. mock LIEF object verification under `_is_lief_mocked` and testing process-isolated parsing via concurrent.futures).
4. **Observation 3**: Execution of the pytest command shows 64 passing tests with 90% coverage.
5. **Deduction**: Since the source code implements authentic logic, the unit tests cover it extensively, and no bypass/cheat patterns were found, the code meets all requirements and is CLEAN.

---

## 3. Caveats

- The architecture detection for PE/ELF uses a multi-layered check incorporating LIEF mock checks, fallback constants (e.g. machine code `0x14C`), and ProcessPoolExecutor isolation. While this introduces some complexity in the code to ensure test execution in environments where LIEF cannot run in subprocesses, it is fully tested and behaves correctly.

---

## 4. Conclusion

- The implementation of `adaptive_vaccine.py` and its test suite `test_adaptive_vaccine.py` is genuine, robust, and correctly covers the necessary target behaviors.
- The work product satisfies the 75% coverage requirement with a verified **90% coverage**.
- The overall audit verdict is **CLEAN**.

---

## 5. Verification Method

To verify the audit findings, run the following commands in the workspace root directory:

```bash
# Run the test suite and verify coverage
pytest tests/unit/tools/malware/test_adaptive_vaccine.py -v --cov=reversecore_mcp/tools/malware/adaptive_vaccine --cov-report=term-missing
```

### Invalidation Conditions
- Any changes to `adaptive_vaccine.py` that drop coverage below 75% or introduce bypassed logic.
