medium5.3
CVE-2025-3044
LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
Impact
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).
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | llama-index-readers-papers | < 0.3.1 | 0.3.1 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Llamaindex | Llamaindex | before 0.12.28 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/run-llama/llama_index/commit/0008041e8dde8e519621388e5d6f558bde6ef42e
- https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
- https://github.com/advisories/GHSA-p7j4-jwjf-5x9w
- https://nvd.nist.gov/vuln/detail/CVE-2025-3044
- https://github.com/run-llama/llama_index/commit/f69e1c0e7579228fec4cfaf716e4f951e131de77