GitHub Advisoryadvisory · PyPI
GHSA-p7j4-jwjf-5x9w LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
MEDIUM
Official page ↗
- Aliases
- CVE-2025-3044
- Ecosystem
- PyPI
- Packages
- llama-index-readers-papers
- Severity
- Moderate
- CVSS vector
- CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
- Weaknesses
- CWE-440
- Reviewed
- 2025-07-08
Affected packages
• PyPI llama-index-readers-papers: < 0.3.1 → fixed in 0.3.1
Description
A vulnerability in the ArxivReader class of the run-llama/llama_index repository allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each other, preventing some papers from being processed for AI model training. The issue is resolved in llama-index-readers-papers version 0.3.1 (in llama-index 0.12.28).
Related
Alias · CVE (1)
- CVE-2025-3044 A vulnerability in the ArxivReader class of the run-llama/llama_index repository, versions up to v0.12.22.post1, allows for MD5 hash… vulnerability
Weakness · CWE (1)
- CWE-440 Expected Behavior Violation weakness
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-3044 advisory
- https://github.com/run-llama/llama_index/commit/0008041e8dde8e519621388e5d6f558bde6ef42e web
- https://github.com/run-llama/llama_index/commit/f69e1c0e7579228fec4cfaf716e4f951e131de77 web
- https://github.com/run-llama/llama_index package
- https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6 web