GHSA-PVFV-9F26-PXV8

Vulnerability from github – Published: 2026-08-27 15:31 – Updated: 2026-08-27 15:31
VLAI
Details

Affected versions of Flowintel improperly trust configuration keys supplied to the alerts settings update endpoint. While configuration values were normalized to Python literals, the corresponding keys were used directly when constructing and replacing lines in conf/config_module.py.

The vulnerable code used requester-controlled keys in both the regular expression and the generated assignment:

f'{key} = {py_val}'

and appended an assignment if the key was not already present. The modified Python configuration module was subsequently reloaded using importlib.reload(). This creates a code-generation boundary in which specially crafted configuration keys can alter the Python source structure and result in execution of attacker-controlled Python statements.

Version impacted >=3.3.0

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-81662"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-27T13:18:42Z",
    "severity": "HIGH"
  },
  "details": "Affected versions of Flowintel improperly trust configuration keys supplied to the alerts settings update endpoint. While configuration values were normalized to Python literals, the corresponding keys were used directly when constructing and replacing lines in conf/config_module.py.\n\n\nThe vulnerable code used requester-controlled keys in both the regular expression and the generated assignment:\n\n\nf\u0027{key} = {py_val}\u0027\n\nand appended an assignment if the key was not already present. The modified Python configuration module was subsequently reloaded using importlib.reload(). This creates a code-generation boundary in which specially crafted configuration keys can alter the Python source structure and result in execution of attacker-controlled Python statements. \n\nVersion impacted \u003e=3.3.0",
  "id": "GHSA-pvfv-9f26-pxv8",
  "modified": "2026-08-27T15:31:35Z",
  "published": "2026-08-27T15:31:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-81662"
    },
    {
      "type": "WEB",
      "url": "https://github.com/flowintel/flowintel/commit/d36171e22aed99055539260bec75e6355ada7d0c"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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.

Sightings

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Nomenclature

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