PYSEC-2026-580

Vulnerability from pysec - Published: 2026-06-29 20:46 - Updated: 2026-06-29 20:46
VLAI
Details

Part of the "Hades" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08, malicious phantom releases of coolbox 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
coolbox pkg:pypi/coolbox
Aliases

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "coolbox",
        "purl": "pkg:pypi/coolbox"
      },
      "versions": [
        "0.4.1",
        "0.4.2"
      ]
    }
  ],
  "aliases": [
    "MAL-2026-5295"
  ],
  "details": "Part of the \"Hades\" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08,\nmalicious phantom releases of coolbox 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-2026-580",
  "modified": "2026-06-29T20:46:17Z",
  "published": "2026-06-29T20:46:17Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://inspector.pypi.io/project/coolbox/0.4.2/packages/6d/c3/5a9f7d5950cf353626b90cb268393cc54679768d50a474f5c9c4739be52b/coolbox-0.4.2-py3-none-any.whl//coolbox-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-packages"
    }
  ],
  "summary": "Malicious code in coolbox (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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