GHSA-5hq9-5r78-2gjh
LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class
Packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| PyPI | llama-index | < 0.12.41 | 0.12.41 |
| PyPI | llama-index-readers-docugami | < 0.3.1 | 0.3.1 |
Details
As written in the advisory (Markdown source, shown as plain text).
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.
References
External links from the advisory. They lead to third-party sites.