AI and data stack advisories

Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

LlamaIndexGHSA-5hq9-5r78-2gjh

LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class

LlamaIndex

CVE-2025-6211 · Published Jul 10, 2025 · updated Sep 10, 2026

Medium6.5
Fix: upgrade to 0.12.41 or later
GitHub advisory

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.

Affected versions

PackageAffectedFixed in
llama-index
PyPI
< 0.12.410.12.41
Details and references
CVSS 3.0
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
Severity from
GitHub (reviewed advisory)
Weakness
CWE-440
Also known as
CVE-2025-6211, PYSEC-2026-1566, PYSEC-2026-2606

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