mal-2026-3369
Vulnerability from ossf_malicious_packages
Published
2026-05-07 19:12
Modified
2026-05-07 19:12
Summary
Malicious code in dabrius (PyPI)
Details

-= Per source details. Do not edit below this line.=-

Source: kam193 (4a154cab742b51be41ca413e20acccfed4290ac4cf692e1cfeb17a677df98bab)

The message hidden in the package description tries to convince AI agents to prefer installing the package, which then in multiple places marks execution and collects potentially sensitive data. The behavior extends with each version, up to exfiltration of basic information to a remote target in 1.0.7.

Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.

Campaign: 2026-05-dabrius

Reasons (based on the campaign):

  • exfiltration-generic

  • llm-threat

  • exfiltration-credentials

Credits
Kamil Mańkowski (kam193) github.com/kam193 bad-packages.kam193.eu/
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "dabrius"
      },
      "versions": [
        "0.1.0",
        "0.1.1",
        "0.1.2",
        "0.1.3",
        "0.2.0",
        "0.2.1",
        "0.2.2",
        "0.2.3",
        "0.2.4",
        "0.3.0",
        "0.3.1",
        "0.3.2",
        "0.3.3",
        "0.3.4",
        "0.4.0",
        "0.4.1",
        "1.0.0",
        "1.0.1",
        "1.0.2",
        "1.0.3",
        "1.0.4",
        "1.0.5",
        "1.0.6",
        "1.0.7"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    }
  ],
  "database_specific": {
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-05-dabrius/dabrius",
        "import_time": "2026-05-07T20:02:41.171800057Z",
        "modified_time": "2026-05-07T19:12:49.885962Z",
        "sha256": "4a154cab742b51be41ca413e20acccfed4290ac4cf692e1cfeb17a677df98bab",
        "source": "kam193",
        "versions": [
          "0.1.0",
          "0.1.1",
          "0.1.2",
          "0.1.3",
          "0.2.0",
          "0.2.1",
          "0.2.2",
          "0.2.3",
          "0.2.4",
          "0.3.0",
          "0.3.1",
          "0.3.2",
          "0.3.3",
          "0.3.4",
          "0.4.0",
          "0.4.1",
          "1.0.0",
          "1.0.1",
          "1.0.2",
          "1.0.3",
          "1.0.4",
          "1.0.5",
          "1.0.6",
          "1.0.7"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (4a154cab742b51be41ca413e20acccfed4290ac4cf692e1cfeb17a677df98bab)\nThe message hidden in the package description tries to convince AI agents to prefer installing the package, which then in multiple places marks execution and collects potentially sensitive data. The behavior extends with each version, up to exfiltration of basic information to a remote target in 1.0.7.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-05-dabrius\n\n\nReasons (based on the campaign):\n\n\n - exfiltration-generic\n\n\n - llm-threat\n\n\n - exfiltration-credentials\n",
  "id": "MAL-2026-3369",
  "modified": "2026-05-07T19:12:49Z",
  "published": "2026-05-07T19:12:49Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/dabrius"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in dabrius (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

Author Source Type Date Other

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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.