mal-2025-47796
Vulnerability from ossf_malicious_packages
Published
2025-08-20 16:30
Modified
2025-12-03 00:04
Summary
Malicious code in python-amazon-doc-utils (PyPI)
Details

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

Source: kam193 (17e1f33275376bf6eef8f0ff4a1f42b8a45bada7b53462c827f397b7554bc2b0)

Installing the package or importing the module exfiltrates basic information about the host, and the package has no other purpose.


Category: PROBABLY_PENTEST - Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research & co, with clearly low-harm possibilities.

Campaign: GENERIC-standard-pypi-install-pentest

Reasons (based on the campaign):

  • The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.

  • The package overrides the install command in setup.py to execute malicious code during installation.


{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "python-amazon-doc-utils",
        "purl": "pkg:pypi/python-amazon-doc-utils"
      },
      "versions": [
        "0.0.1"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)"
    },
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    },
    {
      "contact": [
        "https://www.reversinglabs.com"
      ],
      "name": "ReversingLabs",
      "type": "FINDER"
    }
  ],
  "database_specific": {
    "malicious-packages-origins": [
      {
        "id": "RLMA-2025-04803",
        "import_time": "2025-09-26T11:05:35.542788664Z",
        "modified_time": "2025-09-26T09:14:28Z",
        "sha256": "a345b2d3e36a3a68a9ae30f4a9f1d08bd487ace13a2bad3557d7395d5411e83a",
        "source": "reversing-labs",
        "versions": [
          "0.0.1"
        ]
      },
      {
        "id": "pypi/GENERIC-standard-pypi-install-pentest/python-amazon-doc-utils",
        "import_time": "2025-12-02T22:30:56.335332506Z",
        "modified_time": "2025-08-20T16:30:57.484286Z",
        "sha256": "16536f8cfa7fc943941a47708e388ade8de3b7a7dea7a50da5b3b771240cc3e2",
        "source": "kam193",
        "versions": [
          "0.0.1"
        ]
      },
      {
        "id": "pypi/GENERIC-standard-pypi-install-pentest/python-amazon-doc-utils",
        "import_time": "2025-12-02T23:07:19.525002719Z",
        "modified_time": "2025-08-20T16:30:57.484286Z",
        "sha256": "17e1f33275376bf6eef8f0ff4a1f42b8a45bada7b53462c827f397b7554bc2b0",
        "source": "kam193",
        "versions": [
          "0.0.1"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (17e1f33275376bf6eef8f0ff4a1f42b8a45bada7b53462c827f397b7554bc2b0)\nInstalling the package or importing the module exfiltrates basic information about the host, and the package has no other purpose.\n\n\n---\n\nCategory: PROBABLY_PENTEST - Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research \u0026 co, with clearly low-harm possibilities.\n\n\nCampaign: GENERIC-standard-pypi-install-pentest\n\n\nReasons (based on the campaign):\n\n\n - The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.\n\n\n - The package overrides the install command in setup.py to execute malicious code during installation.\n",
  "id": "MAL-2025-47796",
  "modified": "2025-12-03T00:04:27Z",
  "published": "2025-08-20T16:30:57Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/python-amazon-doc-utils"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in python-amazon-doc-utils (PyPI)"
}


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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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  • 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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