GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration
mal-2026-16219
Vulnerability from ossf_malicious_packages
Published
2026-09-16 06:54
Modified
2026-09-16 06:54
Summary
Malicious code in licloud (PyPI)
Details

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

Source: kam193 (5e2bddcfca980297be9856fbbc3eeab78253c51efe034bd92b9e8b52ed9aacc6)

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": "licloud"
      },
      "versions": [
        "0.2.7a0",
        "0.2.8"
      ]
    }
  ],
  "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/GENERIC-standard-pypi-install-pentest/licloud",
        "import_time": "2026-09-16T07:21:58.256765101Z",
        "modified_time": "2026-09-16T06:54:28.264488Z",
        "sha256": "5e2bddcfca980297be9856fbbc3eeab78253c51efe034bd92b9e8b52ed9aacc6",
        "source": "kam193",
        "versions": [
          "0.2.7a0",
          "0.2.8"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (5e2bddcfca980297be9856fbbc3eeab78253c51efe034bd92b9e8b52ed9aacc6)\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-2026-16219",
  "modified": "2026-09-16T06:54:28Z",
  "published": "2026-09-16T06:54:28Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/licloud"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in licloud (PyPI)"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…