GHSA-8C24-V4PW-Q2PM

Vulnerability from github – Published: 2026-08-31 09:30 – Updated: 2026-08-31 09:30
VLAI
Details

@hulumi/policies versions before 1.3.2 contain an evidence validation bypass vulnerability in Cloudflare and deployment-governance validators that allows attackers to suppress violations by submitting unrelated compliant evidence. Attackers can use evidence from different zones, hostnames, origins, or repositories to bypass security guardrails for unrelated resources in the same stack.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-82855"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-693"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-31T09:17:05Z",
    "severity": "CRITICAL"
  },
  "details": "@hulumi/policies versions before 1.3.2 contain an evidence validation bypass vulnerability in Cloudflare and deployment-governance validators that allows attackers to suppress violations by submitting unrelated compliant evidence. Attackers can use evidence from different zones, hostnames, origins, or repositories to bypass security guardrails for unrelated resources in the same stack.",
  "id": "GHSA-8c24-v4pw-q2pm",
  "modified": "2026-08-31T09:30:30Z",
  "published": "2026-08-31T09:30:30Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/kerberosmansour/hulumi/security/advisories/GHSA-59f3-7227-wmh4"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-82855"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/hulumi-policies-before-1.3.2-evidence-validation-bypass"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "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: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

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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