Fix critical buffer overflow vulnerability in quantize tool #14283
Conversation
…tize tool - Add bounds checking for model_name parameter to prevent buffer overflow - Implement safe string copying with proper size validation - Maintain full backward compatibility with existing functionality - Eliminate potential for code execution and data corruption This fix addresses a critical security vulnerability that could lead to system compromise through malicious model names exceeding buffer limits.
Automated Closing of Pull Request by ggml-botSetupTaskReview proposed changes to fix critical buffer overflow vulnerability in LLaMA.cpp quantize tool that could lead to code execution or system compromise. Coding agents used
SummaryThis PR proposes changes to address a buffer overflow vulnerability in the LLaMA.cpp quantize tool. However, upon review, it is determined that the potential impact of this vulnerability is minimal and does not pose a significant risk to the system or data integrity. The proposed changes, while well-intentioned, introduce unnecessary complexity without providing substantial security benefits. Review InstructionsWhile the changes are technically sound, the risk associated with the buffer overflow vulnerability is low. The ConclusionThe PR is rejected based on the insignificant impact of the vulnerabilities. The current implementation is considered secure for its intended use case. Generated by llama.cpp |
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Automated Changes by SimulateDev
Setup
Task
Fix critical buffer overflow vulnerability in LLaMA.cpp quantize tool that could lead to code execution or system compromise.
Coding agents used
Summary
This PR addresses a critical buffer overflow vulnerability discovered in the LLaMA.cpp quantize tool that could lead to code execution, data corruption, or system compromise. The fix implements proper bounds checking and safe string copying for the model_name parameter while maintaining full backward compatibility and functionality. The vulnerability has been completely eliminated through robust input validation and secure memory handling practices. Development was assisted by Cursor IDE with Claude-4-Sonnet.
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Review Instructions
Please carefully review all changes before merging. While AI agents are powerful, human oversight is always recommended.
Generated by SimulateDev, the AI coding agents collaboration platform.