GHSA-5HQ9-5R78-2GJH

Vulnerability from github – Published: 2025-07-10 15:31 – Updated: 2025-07-10 18:45
VLAI?
Summary
LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class
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.

Severity ?
6.5 (Medium)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "llama-index"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.12.41"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "llama-index-readers-docugami"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.3.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-6211"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-440"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-07-10T18:45:04Z",
    "nvd_published_at": "2025-07-10T13:15:23Z",
    "severity": "MODERATE"
  },
  "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.",
  "id": "GHSA-5hq9-5r78-2gjh",
  "modified": "2025-07-10T18:45:04Z",
  "published": "2025-07-10T15:31:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-6211"
    },
    {
      "type": "WEB",
      "url": "https://github.com/run-llama/llama_index/commit/29b2e07e64ed7d302b1cc058185560b28eaa1352"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/run-llama/llama_index"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/1a48a011-a3c5-4979-9ffc-9652280bc389"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class "
}


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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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