mal-2026-3034
Vulnerability from ossf_malicious_packages
Published
2026-04-25 14:47
Modified
2026-04-25 14:47
Summary
Malicious code in ort-moe (PyPI)
Details

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

Source: kam193 (b07b0d9d87f411b1c481f50084190fdde34edfeb1c9b10368a23abba0ccbcbdc)

During import, package collects basic information about the system, performs deep fingerprinting, and reports the data to the remote target. The package description attempts to build a false impression that it's an official package. The name refers to either ONNYX runtime, or the Pytorch package never released to the PyPI: https://github.com/pytorch/ort/blob/89466e524b0abe3a134418a50beeb405e287cedc/ort_moe/setup.py#L11


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

Campaign: 2026-04-promptflow-runtime

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.

  • dependency-confusion

  • impersonation

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

Credits

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "ort-moe"
      },
      "versions": [
        "9.0.0"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    }
  ],
  "database_specific": {
    "iocs": {
      "domains": [
        "ttder9qf90.execute-api.us-east-1.amazonaws.com"
      ]
    },
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-04-promptflow-runtime/ort-moe",
        "import_time": "2026-04-25T15:19:06.820242078Z",
        "modified_time": "2026-04-25T14:47:54.935422Z",
        "sha256": "b07b0d9d87f411b1c481f50084190fdde34edfeb1c9b10368a23abba0ccbcbdc",
        "source": "kam193",
        "versions": [
          "9.0.0"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (b07b0d9d87f411b1c481f50084190fdde34edfeb1c9b10368a23abba0ccbcbdc)\nDuring import, package collects basic information about the system, performs deep fingerprinting, and reports the data to the remote target. The package description attempts to build a false impression that it\u0027s an official package. The name refers to either ONNYX runtime, or the Pytorch package never released to the PyPI: https://github.com/pytorch/ort/blob/89466e524b0abe3a134418a50beeb405e287cedc/ort_moe/setup.py#L11\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-04-promptflow-runtime\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 - dependency-confusion\n\n\n - impersonation\n\n\n - The package contains code to detect if it is running in a sandbox environment.\n",
  "id": "MAL-2026-3034",
  "modified": "2026-04-25T14:47:54Z",
  "published": "2026-04-25T14:47:54Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/ort-moe"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in ort-moe (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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