Vulnerability-Lookup

MAL-2026-17181

Vulnerability from ossf_malicious_packages

Published

2026-09-25 06:00

Modified

2026-09-25 08:28

Summary

Malicious code in reqparser (PyPI)

Details

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

Source: kam193 (982923c14e644e82a839621d37715fd123568fc378aed45b6afa6247bc0b5054)

During the module import, the package starts an infostealer. It exfiltrates data from crypto currency wallets and web browsers, ensures persistence and installs further malware.

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

Campaign: 2026-09-reqparser

Reasons (based on the campaign):

malware
persistence
exfiltration-crypto
exfiltration-browser-data
The package contains code to detect if it is running in a sandbox environment.
infostealer
keylogger

Credits

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

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "reqparser"
      },
      "versions": [
        "1.0.0",
        "1.0.1"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    }
  ],
  "database_specific": {
    "iocs": {
      "urls": [
        "https://www.dropbox.com/scl/fi/vlzgfg9rrbgwvn0ne37hx/VapeInjector.exe?rlkey=7kvgnqgggx45p7j3e3watnecr\u0026st=0xnfj0jj\u0026dl=1",
        "https://discord.com/api/webhooks/1551389643809759282/6tikdocvfNvYsh-HDur00-hrQrwdBBByvfDXz3sNLB-XXBSPOGGGzd-rxC6jGe_eAb7q"
      ]
    },
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-09-reqparser/reqparser",
        "import_time": "2026-09-25T07:22:49.39466005Z",
        "modified_time": "2026-09-25T06:00:28.706248Z",
        "sha256": "982923c14e644e82a839621d37715fd123568fc378aed45b6afa6247bc0b5054",
        "source": "kam193",
        "versions": [
          "1.0.0",
          "1.0.1"
        ]
      },
      {
        "id": "pypi/2026-09-reqparser/reqparser",
        "import_time": "2026-09-25T08:26:07.458367611Z",
        "modified_time": "2026-09-25T06:00:28.706248Z",
        "sha256": "9ecd26e59abe3479c2854f380a89c94cfdc16be95441165fd46dcab6db8dbc88",
        "source": "kam193",
        "versions": [
          "1.0.0",
          "1.0.1"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (982923c14e644e82a839621d37715fd123568fc378aed45b6afa6247bc0b5054)\nDuring the module import, the package starts an infostealer. It exfiltrates data from crypto currency wallets and web browsers, ensures persistence and installs further malware.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-09-reqparser\n\n\nReasons (based on the campaign):\n\n\n - malware\n\n\n - persistence\n\n\n - exfiltration-crypto\n\n\n - exfiltration-browser-data\n\n\n - The package contains code to detect if it is running in a sandbox environment.\n\n\n - infostealer\n\n\n - keylogger\n",
  "id": "MAL-2026-17181",
  "modified": "2026-09-25T08:28:09.787325706Z",
  "published": "2026-09-25T06:00:28Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/reqparser"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in reqparser (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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