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Medium, CVSS 6.5amended

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

CVE-2025-6211GHSA-5hq9-5r78-2gjh

What to do

Vendor fix available. Upgrade each affected package to the fixed version on its release line (llama-index 0.12.41; llama-index-readers-docugami 0.3.1), redeploy, then verify what is actually installed.

This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.

Affected packages

Sources

Severity and exploitation
Exploitation
No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
CVSS
6.5 · CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
EPSS
  • CVE-2025-6211: 0.36% estimated exploitation activity in the next 30 days; percentile 29.92 (FIRST EPSS, 2026-11-03). This is a model estimate, not proof of exploitation or customer exposure.
Source description

As published by the source; long descriptions are shortened.

A vulnerability in the DocugamiReader class of the run-llama/llamaindex 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.

Dates and revisions
Published by the source
Last modified by the source
Source last checked
  1. Revision 2 · amended ·

    Amended from ghsa record GHSA-5hq9-5r78-2gjh

  2. Revision 1 · created ·

    Published from osv record GHSA-5hq9-5r78-2gjh

Agent brief

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# Patch Next advisory brief: CVE-2025-6211

Advisory: LlamaIndex vulnerable to data loss through hash collisions in its DocugamiReader class
IDs: CVE-2025-6211, GHSA-5hq9-5r78-2gjh
Record: https://patchnext.com/advisories/cve-2025-6211 (revision 2, source checked 26 Oct 2026, 13:32 UTC)
Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected.
Severity: Medium (CVSS 6.5)
Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV.
Vendor response: Vendor fix available; fixed versions by package: llama-index 0.12.41; llama-index-readers-docugami 0.3.1. A vendor fix does not mean a deployment is fixed.

## Affected components
- PyPI llama-index: affected < 0.12.41; fixed in 0.12.41
- PyPI llama-index-readers-docugami: affected < 0.3.1; fixed in 0.3.1

## Suggested inspection (read-only)
- `python -m pip show llama-index`: prints the installed version. Run with the environment that serves production active.
- `python -m pip show llama-index-readers-docugami`: prints the installed version. Run with the environment that serves production active.

## Supported action
Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version.

## Required regression checks
- Run the test suite and a production build.
- Exercise the features that depend on llama-index, llama-index-readers-docugami.
- Repeat the inspection and confirm that only fixed versions remain installed.

## Rollback considerations
- Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward.

## Unresolved questions
- Which deployments run an affected version?
- Exploitation status can change. Check again before lowering the priority.
- Mark the work resolved only after the fixed version is verified in production.

## Sources
- Verified: https://osv.dev/vulnerability/GHSA-5hq9-5r78-2gjh (OSV record GHSA-5hq9-5r78-2gjh lists affected ranges: PyPI llama-index >=0 =0 <0.3.1 (fixed))
- Verified: https://github.com/advisories/GHSA-5hq9-5r78-2gjh (GitHub-reviewed advisory GHSA-5hq9-5r78-2gjh lists affected ranges: PyPI llama-index >=0 =0 <0.3.1)

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