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MAL-2026-16125
Vulnerability from ossf_malicious_packages
Published
2026-09-10 20:14
Modified
2026-09-10 20:14
Summary
Malicious code in lucy-python-script-2030 (PyPI)
Details

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

Source: kam193 (0b93ebb2207ccfa0d02d068d444dce91835203dfe89a5ece38906158b4d3b891)

Starting version 0.1.1, the package contains an infostealer attempting to exfiltrate during import various sensitive data, like browser data, sensitive files, cloud credentials and others. In analyzed versions, the code contained mistakes effectievly disarming the functionality.


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

Campaign: 2026-09-lucy-python-script-2030

Reasons (based on the campaign):

  • infostealer

  • exfiltration-browser-data

  • files-exfiltration

  • persistence

  • The package contains code to detect if it is running in a sandbox environment.

  • uses-telegram-bot

  • exfiltration-cloud-tokens


{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "lucy-python-script-2030"
      },
      "versions": [
        "0.1.1",
        "0.1.2"
      ]
    }
  ],
  "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/2026-09-lucy-python-script-2030/lucy-python-script-2030",
        "import_time": "2026-09-10T21:14:53.03593537Z",
        "modified_time": "2026-09-10T20:14:14.693093Z",
        "sha256": "0b93ebb2207ccfa0d02d068d444dce91835203dfe89a5ece38906158b4d3b891",
        "source": "kam193",
        "versions": [
          "0.1.1",
          "0.1.2"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (0b93ebb2207ccfa0d02d068d444dce91835203dfe89a5ece38906158b4d3b891)\nStarting version 0.1.1, the package contains an infostealer attempting to exfiltrate during import various sensitive data, like browser data, sensitive files, cloud credentials and others. In analyzed versions, the code contained mistakes effectievly disarming the functionality.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-09-lucy-python-script-2030\n\n\nReasons (based on the campaign):\n\n\n - infostealer\n\n\n - exfiltration-browser-data\n\n\n - files-exfiltration\n\n\n - persistence\n\n\n - The package contains code to detect if it is running in a sandbox environment.\n\n\n - uses-telegram-bot\n\n\n - exfiltration-cloud-tokens\n",
  "id": "MAL-2026-16125",
  "modified": "2026-09-10T20:14:14Z",
  "published": "2026-09-10T20:14:14Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/lucy-python-script-2030"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in lucy-python-script-2030 (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.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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