PYSEC-2026-1074

Vulnerability from pysec - Published: 2026-07-07 16:19 - Updated: 2026-07-07 16:19
VLAI
Details

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

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "ray-mcp-server",
        "purl": "pkg:pypi/ray-mcp-server"
      },
      "versions": [
        "0.2.1"
      ]
    }
  ],
  "aliases": [
    "MAL-2026-5325"
  ],
  "details": "Part of the \"Hades\" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08,\nmalicious phantom releases of ray-mcp-server 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-2026-1074",
  "modified": "2026-07-07T16:19:27Z",
  "published": "2026-07-07T16:19:27Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://inspector.pypi.io/project/ray-mcp-server/0.2.1/packages/40/35/d09e9a3b7802bbbae86b8b9a207b9687101dcb0534e35e3cb35d0383a4de/ray_mcp_server-0.2.1-py3-none-any.whl/ray_mcp_server-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 ray-mcp-server (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.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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