GHSA-844W-MWFP-WJWF

Vulnerability from github – Published: 2026-08-17 12:32 – Updated: 2026-08-17 12:32
VLAI
Details

openssl_encrypt versions before 1.4.0 use Python's non-cryptographic random module for steganographic pixel selection in the generate_pseudorandom_sequence function. Attackers who know the password can recover the Mersenne Twister state from approximately 624 outputs and predict pixel locations containing hidden data for extraction.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-74874"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-338"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-17T11:16:41Z",
    "severity": "HIGH"
  },
  "details": "openssl_encrypt versions before 1.4.0 use Python\u0027s non-cryptographic random module for steganographic pixel selection in the generate_pseudorandom_sequence function. Attackers who know the password can recover the Mersenne Twister state from approximately 624 outputs and predict pixel locations containing hidden data for extraction.",
  "id": "GHSA-844w-mwfp-wjwf",
  "modified": "2026-08-17T12:32:22Z",
  "published": "2026-08-17T12:32:22Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jahlives/openssl_encrypt/security/advisories/GHSA-vfgx-5q85-58q3"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74874"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/openssl-encrypt-before-weak-prng-steganography-pixel-selection"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/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.

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