GHSA-8GFF-CF92-72PV

Vulnerability from github – Published: 2025-06-23 21:31 – Updated: 2025-06-25 14:12
VLAI
Summary
pyspur Incomplete Filtering of Special Elements allowed by SingleLLMCallNode function
Details

A vulnerability was found in PySpur-Dev pyspur up to 0.1.18. It has been classified as critical. Affected is the function SingleLLMCallNode of the file backend/pyspur/nodes/llm/single_llm_call.py of the component Jinja2 Template Handler. The manipulation of the argument user_message leads to improper neutralization of special elements used in a template engine. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.

Severity
6.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
2.1 (Low)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P
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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pyspur"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "0.1.18"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-6518"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-791"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-06-25T14:12:09Z",
    "nvd_published_at": "2025-06-23T19:15:25Z",
    "severity": "LOW"
  },
  "details": "A vulnerability was found in PySpur-Dev pyspur up to 0.1.18. It has been classified as critical. Affected is the function SingleLLMCallNode of the file backend/pyspur/nodes/llm/single_llm_call.py of the component Jinja2 Template Handler. The manipulation of the argument user_message leads to improper neutralization of special elements used in a template engine. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.",
  "id": "GHSA-8gff-cf92-72pv",
  "modified": "2025-06-25T14:12:09Z",
  "published": "2025-06-23T21:31:56Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-6518"
    },
    {
      "type": "WEB",
      "url": "https://github.com/PySpur-Dev/pyspur/issues/289"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/PySpur-Dev/pyspur"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.313638"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.313638"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?submit.593612"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P",
      "type": "CVSS_V4"
    }
  ],
  "summary": "pyspur Incomplete Filtering of Special Elements allowed by SingleLLMCallNode function"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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