LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class
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.
This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality none, integrity low, availability low.
The score comes from this vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
CVE-2025-6211 is classified as CWE-440: Expected Behavior Violation. A feature, API, or function does not perform according to its specification.
CVE-2025-6211 is recorded against 3 packages.
Published on 10 July 2025 and last revised on 13 July 2026. No public exploit is currently recorded for this entry. A vendor advisory or fix has been published. Record sourced from NVD.
nvd.nist.gov (Advisory)
github.com (Web)
github.com (Package)
huntr.com (Web)
llama-index has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-440: Expected Behavior Violation) in other software:
Details
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| llama-index | — | 0.12.41 |
| llama-index-readers-docugami | — | 0.3.1 |
| llamaindex | — | 0.3.1 |
References
Similar Threats
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