Vulnerability-Lookup

MAL-2025-191839

Vulnerability from ossf_malicious_packages

Published

2025-09-03 19:28

Modified

2025-12-03 00:04

Summary

Malicious code in python-dev-toolkit (PyPI)

Details

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

Source: kam193 (3e8bbf18a10505977ab19adc6dd13d15e1c7df3c69391e1c930289b953619549)

Installing packages exfiltrates data (different in different packages and versions) or run revshells

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

Campaign: 2025-08-learning-pypi-demo-nisimi

Reasons (based on the campaign):

The package contains code to create a reverse shell, allowing an attacker to execute any commands on the victim's machine.
exfiltration-generic

Credits

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

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "python-dev-toolkit"
      },
      "versions": [
        "0.1.9"
      ]
    }
  ],
  "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"
    }
  ],
  "database_specific": {
    "iocs": {
      "domains": [
        "evduuu5l01di1hdn9i5qslhxzo5ft6ju8.oastify.com",
        "xz0dyd944kh150h6d199w4lg379yx0lp.oastify.com",
        "v95b8bj2eirzfyr4nzj762ved5jw71vq.oastify.com"
      ]
    },
    "malicious-packages-origins": [
      {
        "id": "pypi/2025-08-learning-pypi-demo-nisimi/python-dev-toolkit",
        "import_time": "2025-12-02T22:30:55.491123044Z",
        "modified_time": "2025-09-03T19:28:44.053195Z",
        "sha256": "9817d866e7e316858f4b8ed64bf2a4ddec5e63ec8b150f3a541148826ee87491",
        "source": "kam193",
        "versions": [
          "0.1.9"
        ]
      },
      {
        "id": "pypi/2025-08-learning-pypi-demo-nisimi/python-dev-toolkit",
        "import_time": "2025-12-02T23:07:18.516254956Z",
        "modified_time": "2025-09-03T19:28:44.053195Z",
        "sha256": "3e8bbf18a10505977ab19adc6dd13d15e1c7df3c69391e1c930289b953619549",
        "source": "kam193",
        "versions": [
          "0.1.9"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (3e8bbf18a10505977ab19adc6dd13d15e1c7df3c69391e1c930289b953619549)\nInstalling packages exfiltrates data (different in different packages and versions) or run revshells\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2025-08-learning-pypi-demo-nisimi\n\n\nReasons (based on the campaign):\n\n\n - The package contains code to create a reverse shell, allowing an attacker to execute any commands on the victim\u0027s machine.\n\n\n - exfiltration-generic\n",
  "id": "MAL-2025-191839",
  "modified": "2025-12-03T00:04:28Z",
  "published": "2025-09-03T19:28:44Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/python-dev-toolkit"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in python-dev-toolkit (PyPI)"
}

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

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