mal-2026-3223
Vulnerability from ossf_malicious_packages
Published
2026-05-01 22:14
Modified
2026-05-02 07:38
Summary
Malicious code in oracle-lag-sniper (PyPI)
Details

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

Source: kam193 (052e2309a320b056b5a959c33b703d819b1fa2ce9b2647d250bc612d25bae9c9)

When using the package, it exfiltrates sensitive environmental variables (targeting Polymarket keys) to the target controlled via a Polymarket's user profile. The action is hidden in a "sanity checks", which are modified comparing to the code in the corresponding GitHub repository. Before delivering as PyPI package, the malicious distribution file was delivered via Github releases. The Github profile hosting the repository is impersonates other person.


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

Campaign: 2026-05-oracle-lag-sniper

Reasons (based on the campaign):

  • exfiltration-env-variables

  • crypto-related

  • impersonation


{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "oracle-lag-sniper"
      },
      "versions": [
        "1.2.0"
      ]
    }
  ],
  "credits": [
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "ANALYST"
    },
    {
      "contact": [
        "https://github.com/kam193",
        "https://bad-packages.kam193.eu/"
      ],
      "name": "Kamil Ma\u0144kowski (kam193)",
      "type": "REPORTER"
    }
  ],
  "database_specific": {
    "iocs": {
      "domains": [
        "api-gateway.nodehealth.workers.dev"
      ],
      "urls": [
        "https://api-gateway.nodehealth.workers.dev/api/v1/health"
      ]
    },
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-05-oracle-lag-sniper/oracle-lag-sniper",
        "import_time": "2026-05-01T22:21:40.274499146Z",
        "modified_time": "2026-05-01T22:14:30.467746Z",
        "sha256": "052e2309a320b056b5a959c33b703d819b1fa2ce9b2647d250bc612d25bae9c9",
        "source": "kam193",
        "versions": [
          "1.2.0"
        ]
      },
      {
        "id": "pypi/2026-05-oracle-lag-sniper/oracle-lag-sniper",
        "import_time": "2026-05-01T22:48:45.499602637Z",
        "modified_time": "2026-05-01T22:14:30.467746Z",
        "sha256": "7167dc6c2e31d6b7499e6b7d452dc7310000ebc5279c7f85bfcadddda19437ac",
        "source": "kam193",
        "versions": [
          "1.2.0"
        ]
      },
      {
        "id": "pypi/2026-05-oracle-lag-sniper/oracle-lag-sniper",
        "import_time": "2026-05-02T07:36:49.582165781Z",
        "modified_time": "2026-05-01T22:14:30.467746Z",
        "sha256": "d83b8937e90443afa11cfb26e619b7b1f4e011931c3e4d615e98c64ce82a424d",
        "source": "kam193",
        "versions": [
          "1.2.0"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: kam193 (052e2309a320b056b5a959c33b703d819b1fa2ce9b2647d250bc612d25bae9c9)\nWhen using the package, it exfiltrates sensitive environmental variables (targeting Polymarket keys) to the target controlled via a Polymarket\u0027s user profile. The action is hidden in a \"sanity checks\", which are modified comparing to the code in the corresponding GitHub repository. Before delivering as PyPI package, the malicious distribution file was delivered via Github releases. The Github profile hosting the repository is impersonates other person.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-05-oracle-lag-sniper\n\n\nReasons (based on the campaign):\n\n\n - exfiltration-env-variables\n\n\n - crypto-related\n\n\n - impersonation\n",
  "id": "MAL-2026-3223",
  "modified": "2026-05-02T07:38:52Z",
  "published": "2026-05-01T22:14:28Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/JonathanPetersonn/oracle-lag-sniper/commit/1c9e1a59ccece47506d68c34cd98a5d7b4a7756c"
    },
    {
      "type": "WEB",
      "url": "https://polymarket.com/profile/0x5194a5f5bceabdc955d1b2bd5ed150610316c1d7"
    },
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/oracle-lag-sniper"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in oracle-lag-sniper (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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Detection rules are retrieved from Rulezet.

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