mal-2026-5090
Vulnerability from ossf_malicious_packages
Published
2026-05-30 16:14
Modified
2026-05-30 16:14
Summary
Malicious code in neuralforge-ml (PyPI)
Details

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

Source: kam193 (c0a68c3ef2f7680eab753f62cc1792ae7df68bb15400e09971cc9c34a444307b)

The package contains stub code only imitating real actions. Starting with version 0.9.9, the code contains exfiltration capability activated under specific conditions.

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

Campaign: 2026-05-neuralforge-ml

Reasons (based on the campaign):

  • exfiltration-env-variables

  • obfuscation

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

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "neuralforge-ml"
      },
      "versions": [
        "0.9.9"
      ]
    }
  ],
  "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-neuralforge-ml/neuralforge-ml",
        "import_time": "2026-05-30T16:29:33.257320212Z",
        "modified_time": "2026-05-30T16:14:02.541978Z",
        "sha256": "c0a68c3ef2f7680eab753f62cc1792ae7df68bb15400e09971cc9c34a444307b",
        "source": "kam193",
        "versions": [
          "0.9.9"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (c0a68c3ef2f7680eab753f62cc1792ae7df68bb15400e09971cc9c34a444307b)\nThe package contains stub code only imitating real actions. Starting with version 0.9.9, the code contains exfiltration capability activated under specific conditions.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-05-neuralforge-ml\n\n\nReasons (based on the campaign):\n\n\n - exfiltration-env-variables\n\n\n - obfuscation\n",
  "id": "MAL-2026-5090",
  "modified": "2026-05-30T16:14:02Z",
  "published": "2026-05-30T16:14:02Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/neuralforge-ml"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in neuralforge-ml (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.