MEDIUM5.3
PYSEC-2026-1569
LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
Quick fix
PYSEC-2026-1569 — llama-index-readers-papers: upgrade to the fixed version with the command below.
pip install --upgrade 'llama-index-readers-papers>=0.3.1'Details
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).
Are you affected?
Enter the version of the package you're using.
Affected packages
PyPI/llama-index-readers-papers
Introduced in:
0Fixed in: 0.3.1Fix
pip install --upgrade 'llama-index-readers-papers>=0.3.1'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]
- https://pypi.org/project/llama-index-readers-papers[PACKAGE]
- https://github.com/advisories/GHSA-p7j4-jwjf-5x9w[ADVISORY]