MAL-2026-13619
Vulnerability from ossf_malicious_packages
Published
2026-08-07 16:03
Modified
2026-08-07 16:53
Summary
Malicious code in atlas-internal (PyPI)
Details

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

Source: amazon-inspector (cdd4a17504623add1ff4f374ea9c2283d1eb5a863265e012592142b169cd9d90)

setup.py overrides the egg_info command to execute automatically during pip install. The overridden command collects the installer's hostname, current working directory, and OS username, URL-encodes them, and sends them via an HTTP GET request to a hardcoded Interactsh out-of-band callback subdomain at fpvbsifkklbmklusmxby2405wa7x7x5bf.oast.fun. This fires on default install without user interaction and leaks installer host identifiers to an attacker-controlled OOB server, consistent with a dependency-confusion reconnaissance beacon.

Source: kam193 (e41b6a5ae4af745c6bc5b2514fa7202d95242ef71a60a57f130524ccfddc99da)

Installing the package or importing the module exfiltrates basic information about the host, and the package has no other purpose.


Category: PROBABLY_PENTEST - Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research & co, with clearly low-harm possibilities.

Campaign: GENERIC-standard-pypi-install-pentest

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.

  • The package overrides the install command in setup.py to execute malicious code during installation.

CWE
  • CWE-506 - The product contains code that appears to be malicious in nature.

{
  "affected": [
    {
      "database_specific": {
        "cwes": [
          {
            "cweId": "CWE-506",
            "description": "The product contains code that appears to be malicious in nature.",
            "name": "Embedded Malicious Code"
          }
        ],
        "indicators": {
          "evidence_files": [
            {
              "path": "setup.py",
              "sha256": "424d7fea62a5f0ae9e4c02a42b1fd4fe99adfd98b9d58be8cf1f0d2ea8d7d050",
              "tlsh": "df11ce22c83b9467a18751a8480b157a2b75aa533e80f6b5787c37142f8e23cc8b69b5"
            }
          ],
          "package_integrity": [
            {
              "filename": "atlas_internal-1.8.1-py3-none-any.whl",
              "hashes": {
                "blake2b_256": "4376c20ea4b1823b5d77b55dbbc5b9ddb6c16ab003f5c9154e3fc7de091f4982",
                "md5": "8ee2b458d841e8a202a01bf8bfb6b3e4",
                "sha256": "688feee86baf582e6ce0f852101bae94be9f25b6bc0bf141dc17201f43ea3f2b"
              }
            },
            {
              "filename": "atlas_internal-1.8.1.tar.gz",
              "hashes": {
                "blake2b_256": "96485a8ffb3f54ede4f85ea03f5deb2300e9add9c41c21a31d396e621ab14e7f",
                "md5": "3683874bfbedd6fc742db8b59870d4ae",
                "sha256": "fdbfb8e17aa35d24d345b5f208053ed90e1aaf194987f2951f1add4ab1a042b5"
              }
            }
          ]
        }
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "atlas-internal"
      },
      "versions": [
        "1.8.1"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "inspector-research@amazon.com"
      ],
      "name": "Amazon Inspector",
      "type": "FINDER"
    },
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    }
  ],
  "database_specific": {
    "malicious-packages-origins": [
      {
        "id": "IN-MAL-2026-017105",
        "import_time": "2026-08-07T16:51:13.974617548Z",
        "modified_time": "2026-08-07T16:27:49Z",
        "sha256": "cdd4a17504623add1ff4f374ea9c2283d1eb5a863265e012592142b169cd9d90",
        "source": "amazon-inspector",
        "versions": [
          "1.8.1"
        ]
      },
      {
        "id": "pypi/GENERIC-standard-pypi-install-pentest/atlas-internal",
        "import_time": "2026-08-07T16:51:18.188754135Z",
        "modified_time": "2026-08-07T16:03:42.157607Z",
        "sha256": "e41b6a5ae4af745c6bc5b2514fa7202d95242ef71a60a57f130524ccfddc99da",
        "source": "kam193",
        "versions": [
          "1.8.1"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (cdd4a17504623add1ff4f374ea9c2283d1eb5a863265e012592142b169cd9d90)\nsetup.py overrides the egg_info command to execute automatically during `pip install`. The overridden command collects the installer\u0027s hostname, current working directory, and OS username, URL-encodes them, and sends them via an HTTP GET request to a hardcoded Interactsh out-of-band callback subdomain at fpvbsifkklbmklusmxby2405wa7x7x5bf.oast.fun. This fires on default install without user interaction and leaks installer host identifiers to an attacker-controlled OOB server, consistent with a dependency-confusion reconnaissance beacon.\n\n## Source: kam193 (e41b6a5ae4af745c6bc5b2514fa7202d95242ef71a60a57f130524ccfddc99da)\nInstalling the package or importing the module exfiltrates basic information about the host, and the package has no other purpose.\n\n\n---\n\nCategory: PROBABLY_PENTEST - Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research \u0026 co, with clearly low-harm possibilities.\n\n\nCampaign: GENERIC-standard-pypi-install-pentest\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 - The package overrides the install command in setup.py to execute malicious code during installation.\n",
  "id": "MAL-2026-13619",
  "modified": "2026-08-07T16:53:15Z",
  "published": "2026-08-07T16:03:42Z",
  "references": [
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/atlas-internal/1.8.1/"
    },
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/atlas-internal"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in atlas-internal (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

  • 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.
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