PYSEC-2026-1566
LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class
Quick fix
PYSEC-2026-1566 — llama-index-readers-docugami: upgrade to the fixed version with the command below.
pip install --upgrade 'llama-index-readers-docugami>=0.3.1'Details
A vulnerability in the DocugamiReader class of the run-llama/llama_index repository, up to but excluding version 0.12.41, involves the use of MD5 hashing to generate IDs for document chunks. This approach leads to hash collisions when structurally distinct chunks contain identical text, resulting in one chunk overwriting another. This can cause loss of semantically or legally important document content, breakage of parent-child chunk hierarchies, and inaccurate or hallucinated responses in AI outputs. The issue is resolved in version 0.3.1.
Are you affected?
Enter the version of the package you're using.
Affected packages
0Fixed in: 0.3.1pip install --upgrade 'llama-index-readers-docugami>=0.3.1'References
- https://nvd.nist.gov/vuln/detail/CVE-2025-6211[ADVISORY]
- https://github.com/run-llama/llama_index/commit/29b2e07e64ed7d302b1cc058185560b28eaa1352[WEB]
- https://github.com/run-llama/llama_index[PACKAGE]
- https://huntr.com/bounties/1a48a011-a3c5-4979-9ffc-9652280bc389[WEB]
- https://pypi.org/project/llama-index-readers-docugami[PACKAGE]
- https://github.com/advisories/GHSA-5hq9-5r78-2gjh[ADVISORY]