Vulnerability-Lookup

mal-2026-17752

Vulnerability from ossf_malicious_packages

Published

2026-10-10 07:57

Modified

2026-10-10 07:57

Summary

Malicious code in agentaix (PyPI)

Details

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

Source: kam193 (fd321806b962224268527ea2f73221d5f6014beeca857682854fb5a5e85e5fb1)

The package installs a persistent job that allows the attacker for exfiltrating files and executing remote code on the victim's machine.

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

Campaign: 2026-10-agentaix

Reasons (based on the campaign):

files-exfiltration
peristence-autorun
The package contains code to execute remote commands (probably limited to a specific set) on the victim's machine.
rat
persistence

Credits

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

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "agentaix"
      },
      "versions": [
        "0.1.0",
        "0.2.0"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    }
  ],
  "database_specific": {
    "iocs": {
      "domains": [
        "googleforum.pythonanywhere.com"
      ]
    },
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-10-agentaix/agentaix",
        "import_time": "2026-10-10T08:46:18.828291614Z",
        "modified_time": "2026-10-10T07:57:16.609573Z",
        "sha256": "fd321806b962224268527ea2f73221d5f6014beeca857682854fb5a5e85e5fb1",
        "source": "kam193",
        "versions": [
          "0.1.0",
          "0.2.0"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (fd321806b962224268527ea2f73221d5f6014beeca857682854fb5a5e85e5fb1)\nThe package installs a persistent job that allows the attacker for exfiltrating files and executing remote code on the victim\u0027s machine.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-10-agentaix\n\n\nReasons (based on the campaign):\n\n\n - files-exfiltration\n\n\n - peristence-autorun\n\n\n - The package contains code to execute remote commands (probably limited to a specific set) on the victim\u0027s machine.\n\n\n - rat\n\n\n - persistence\n",
  "id": "MAL-2026-17752",
  "modified": "2026-10-10T07:57:16Z",
  "published": "2026-10-10T07:57:16Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/agentaix"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in agentaix (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.

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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