MAL-2024-5454
Vulnerability from ossf_malicious_packages
Published
2024-06-25 13:37
Modified
2024-10-24 01:01
Summary
Malicious code in pandirequests (PyPI)
Details

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

Credits

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "pandirequests",
        "purl": "pkg:pypi/pandirequests"
      },
      "versions": [
        "0.1"
      ]
    }
  ],
  "aliases": [
    "SNYK-PYTHON-PANDIREQUESTS-5508594"
  ],
  "credits": [
    {
      "contact": [
        "https://www.reversinglabs.com"
      ],
      "name": "ReversingLabs",
      "type": "FINDER"
    }
  ],
  "database_specific": {
    "malicious-packages-origins": [
      {
        "id": "RLMA-2024-04236",
        "import_time": "2024-06-28T02:49:36.439318957Z",
        "modified_time": "2024-06-25T13:37:58Z",
        "sha256": "fd4a81762cfb67db095ab297d0740541ec989ff710056074045c34fd2d136ff3",
        "source": "reversing-labs",
        "versions": [
          "0.1"
        ]
      },
      {
        "id": "RLUA-2024-08660",
        "import_time": "2024-10-24T00:59:33.669151016Z",
        "modified_time": "2024-10-16T14:45:10Z",
        "sha256": "1a05a03f726f8097b00c8f1ffda99f019ec0cc696d0e83419d877a011c551bb3",
        "source": "reversing-labs"
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n",
  "id": "MAL-2024-5454",
  "modified": "2024-10-24T01:01:58Z",
  "published": "2024-06-25T13:37:58Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/DataDog/malicious-software-packages-dataset"
    },
    {
      "type": "ADVISORY",
      "url": "https://security.snyk.io/vuln/SNYK-PYTHON-PANDIREQUESTS-5508594"
    },
    {
      "type": "ARTICLE",
      "url": "https://medium.com/checkmarx-security/ml-engine-detects-pypi-packages-containing-whitesnake-malware-designed-to-steal-your-personal-7a275496f442"
    },
    {
      "type": "ADVISORY",
      "url": "https://research.jfrog.com/malicious-packages/"
    }
  ],
  "schema_version": "1.5.0",
  "summary": "Malicious code in pandirequests (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

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Nomenclature

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