PYSEC-2026-591

Vulnerability from pysec - Published: 2026-06-30 20:24 - Updated: 2026-06-30 20:24
VLAI
Details

Part of the "Hades" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08, malicious phantom releases of funcdesc were published to PyPI using stolen credentials. The package executes a bundled JavaScript payload (via the Bun runtime) on import that harvests and exfiltrates credentials and attempts self-propagation. This entry is a summary; behavior may not be fully characterized here. See the linked references for detailed analysis and indicators of compromise.

Impacted products
Name purl
funcdesc pkg:pypi/funcdesc
Aliases

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "funcdesc",
        "purl": "pkg:pypi/funcdesc"
      },
      "versions": [
        "0.2.2",
        "0.2.3"
      ]
    }
  ],
  "aliases": [
    "MAL-2026-5300"
  ],
  "details": "Part of the \"Hades\" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08,\nmalicious phantom releases of funcdesc were published to PyPI using stolen\ncredentials. The package executes a bundled JavaScript payload (via the Bun\nruntime) on import that harvests and exfiltrates credentials and attempts\nself-propagation. This entry is a summary; behavior may not be fully\ncharacterized here. See the linked references for detailed analysis and\nindicators of compromise.\n",
  "id": "PYSEC-2026-591",
  "modified": "2026-06-30T20:24:41Z",
  "published": "2026-06-30T20:24:41Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://inspector.pypi.io/project/funcdesc/0.2.3/packages/ee/07/a3a5d522d90245b00ba11d6f40608c46ce63b4dad69e51f1a197323c4053/funcdesc-0.2.3-py3-none-any.whl//funcdesc-setup.pth"
    },
    {
      "type": "ARTICLE",
      "url": "https://www.endorlabs.com/learn/shai-hulud-hades-wave-hits-six-pypi-bioinformatics-packages"
    },
    {
      "type": "ARTICLE",
      "url": "https://www.stepsecurity.io/blog/the-hades-campaign-pypi-pack"
    }
  ],
  "summary": "Malicious code in funcdesc (PyPI)"
}


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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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