GHSA-22C2-9GWG-MJ59

Vulnerability from github – Published: 2025-05-20 18:01 – Updated: 2025-05-20 20:56
VLAI?
Summary
Langroid has a Code Injection vulnerability in LanceDocChatAgent through vector_store
Details

Summary

LanceDocChatAgent uses pandas eval() through compute_from_docs(): https://github.com/langroid/langroid/blob/18667ec7e971efc242505196f6518eb19a0abc1c/langroid/vector_store/base.py#L136-L150

As a result, an attacker may be able to make the agent run malicious commands through QueryPlan.dataframe_calc compromising the host system.

Fix

Langroid 0.53.15 sanitizes input to the affected function by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "langroid"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.53.15"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-46725"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-05-20T18:01:52Z",
    "nvd_published_at": "2025-05-20T18:15:46Z",
    "severity": "HIGH"
  },
  "details": "### Summary\n[LanceDocChatAgent](https://github.com/langroid/langroid/blob/main/langroid/agent/special/lance_doc_chat_agent.py#L158) uses pandas eval() through `compute_from_docs()`:\nhttps://github.com/langroid/langroid/blob/18667ec7e971efc242505196f6518eb19a0abc1c/langroid/vector_store/base.py#L136-L150\n\nAs a result, an attacker may be able to make the agent run malicious commands through [QueryPlan.dataframe_calc](https://github.com/langroid/langroid/blob/main/langroid/agent/special/lance_tools.py#L16) compromising the host system.\n\n### Fix \nLangroid 0.53.15 sanitizes input to the affected function by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.",
  "id": "GHSA-22c2-9gwg-mj59",
  "modified": "2025-05-20T20:56:51Z",
  "published": "2025-05-20T18:01:52Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/langroid/langroid/security/advisories/GHSA-22c2-9gwg-mj59"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-46725"
    },
    {
      "type": "WEB",
      "url": "https://github.com/langroid/langroid/commit/0d9e4a7bb3ae2eef8d38f2e970ff916599a2b2a6"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/langroid/langroid"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:U",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Langroid has a Code Injection vulnerability in LanceDocChatAgent through vector_store"
}


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Sightings

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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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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