Vulnerability · Published Jul 7, 2025 · Assigned by @huntr_ai
CVE-2025-3044MD5 Hash Collision in run-llama/llama_index
Medium 5.3
In plain English
A medium-severity security flaw in run-llama/llama_index from run-llama. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 25% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
A vulnerability in the ArxivReader class of the run-llama/llama_index repository, versions up to v0.12.22.post1, 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 version 0.12.28.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | llama-index | 0.12.28 | PYSEC-2025-247 |
| PyPI | llama-index-readers-papers | 0.3.1 | GHSA-p7j4-jwjf-5x9w |
| PyPI | llama-index-readers-papers | 0.3.1 | PYSEC-2026-1569 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| run-llama | run-llama/llama_index | unspecified – before 0.12.28 |
Weakness: CWE-440 · Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N