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Python LLM Package Vulnerable to Arbitrary Code Execution

By

Matthew Fagan and Alexander Marshall, Access Point Consulting

By

Access Point Consulting

Summary

CVE-2024-34359 (CVSSv3: 9.7) is a critical vulnerability in the Jinja2 template engine within the llama_cpp_python package, used in AI applications. The inadequate security measures in Jinja2 allow attackers to inject malicious templates that can execute arbitrary code on the host system. The vulnerability was discovered by retr0reg, who also provided a proof-of-concept exploit.

Impact Assessment

This vulnerability affects individual privacy and organizational operational integrity. The llama_cpp_python package is widely used in trusted LLM sites, with millions of downloads. The risk associated with this vulnerability is substantial, potentially impacting numerous language models and AI applications.

Affected Versions

  • Vulnerable versions: >=v0.2.30, <=v0.2.71
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Remediation

The issue has been resolved in version 0.2.72 of the llama_cpp_python package, which includes enhanced sandboxing and input validation measures.

What It Means for You

If you or your organization uses AI technology with Large Language Models, verify whether your models include the llama_cpp_python package. If they do, update to the latest version (0.2.72) immediately.

Business Implications

Exploitation of this vulnerability can lead to significant consequences, including:

  • Compromise of sensitive data used for AI training
  • Remote code execution, allowing attackers to install malware, perform data exfiltration, or conduct lateral movements within the network
  • Financial losses due to disaster recovery efforts and potential public relations crises
  • Reputational damage from being compromised
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Recommendations

  • Patch Immediately: Upgrade to a non-vulnerable version of the llama_cpp_python package if you are using a vulnerable version.
  • Secure Modern Technologies: Treat AI technologies with the same security rigor as any other software. Ensure that proper security measures are in place to mitigate vulnerabilities and protect sensitive data.
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Associated Bulletins

  • Llama Drama: Vulnerability Threatening Your Software Supply Chain
  • NVD Vulnerability Details for CVE-2024-34359
  • GitHub Security Advisory for llama-cpp-python


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For further assistance, contact:

 

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