PYSEC-2026-604

Vulnerability from pysec - Published: 2026-07-01 19:12 - Updated: 2026-07-01 19:12
VLAI
Details

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

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "napari-ufish",
        "purl": "pkg:pypi/napari-ufish"
      },
      "versions": [
        "0.0.2",
        "0.0.3"
      ]
    }
  ],
  "aliases": [
    "MAL-2026-5275"
  ],
  "details": "Part of the \"Hades\" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08,\nmalicious phantom releases of napari-ufish 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-2026-604",
  "modified": "2026-07-01T19:12:04Z",
  "published": "2026-07-01T19:12:04Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://inspector.pypi.io/project/napari-ufish/0.0.3/packages/bb/6f/cae6c37dfcd5b2efa7f1343f70a86d91da6caad923982ac2776873b83243/napari_ufish-0.0.3-py3-none-any.whl//napari_ufish-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 napari-ufish (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.

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