Vulnerability-Lookup

PYSEC-2026-1072

Vulnerability from pysec - Published: 2026-07-07 16:12 - Updated: 2026-07-07 16:12

Details

Part of the "Hades" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08, malicious phantom releases of openai-mcp were published to PyPI using stolen credentials. The package executes a bundled JavaScript payload (via the Bun runtime) on import that harvests and exfiltrates credentials and attempts self-propagation. This entry is a summary; behavior may not be fully characterized here. See the linked references for detailed analysis and indicators of compromise.

Impacted products

Name	purl
openai-mcp	pkg:pypi/openai-mcp

Aliases

MAL-2026-5320

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "openai-mcp",
        "purl": "pkg:pypi/openai-mcp"
      },
      "versions": [
        "2.41.1",
        "2.41.2"
      ]
    }
  ],
  "aliases": [
    "MAL-2026-5320"
  ],
  "details": "Part of the \"Hades\" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08,\nmalicious phantom releases of openai-mcp were published to PyPI using stolen\ncredentials. The package executes a bundled JavaScript payload (via the Bun\nruntime) on import that harvests and exfiltrates credentials and attempts\nself-propagation. This entry is a summary; behavior may not be fully\ncharacterized here. See the linked references for detailed analysis and\nindicators of compromise.\n",
  "id": "PYSEC-2026-1072",
  "modified": "2026-07-07T16:12:30Z",
  "published": "2026-07-07T16:12:30Z",
  "references": [
    {
      "type": "EVIDENCE",
      "url": "https://inspector.pypi.io/project/openai-mcp/2.41.2/packages/94/a6/2d9553e706b0c5e1df6aa5a30059532c112a87f5f858584abcc45816604c/openai_mcp-2.41.2-py3-none-any.whl/openai_mcp-setup.pth"
    },
    {
      "type": "ARTICLE",
      "url": "https://www.endorlabs.com/learn/shai-hulud-hades-wave-hits-six-pypi-bioinformatics-packages"
    },
    {
      "type": "ARTICLE",
      "url": "https://www.stepsecurity.io/blog/the-hades-campaign-pypi-packages"
    }
  ],
  "summary": "Malicious code in openai-mcp (PyPI)"
}

mal-2026-5320

Vulnerability from ossf_malicious_packages

Published

2026-06-08 10:18

Modified

2026-06-11 07:52

Summary

Malicious code in openai-mcp (PyPI)

Details

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

Source: amazon-inspector (6c30f8b1a160c72529e2671b81be13ea671302e9bc3915ee84bd2212e0fdd5a3)

The package name and module structure impersonate the official openai Python SDK (the package even rewrites exported classes' __module__ attribute to "openai" in openai_mcp/__init__.py). Alongside the cloned SDK, it ships openai-setup.pth, which Python auto-loads on every interpreter start. The.pth file contains a single-line, heavily aliased exec() payload (single-letter names like _O, _T, _u, _s, _b, _z) that: (1) checks a one-shot guard /tmp/.bun_ran, (2) downloads the Bun JavaScript runtime from https://github.com/oven-sh/bun/releases/download/bun-v1.3.13/bun-<platform>-<arch>.zip to /tmp/b/bun and chmods it executable, (3) locates a sibling _index.js on sys.path, and (4) runs bun run _index.js. Because.pth files execute at every Python startup (not just at install), every python invocation after pip install openai-mcp downloads an alien runtime and executes the package's JavaScript payload through it — an alternate-runtime dropper that evades Python-only scanners. The obfuscation, one-shot guard, identity spoofing, and runtime-laundering together establish clear malicious intent.

Source: kam193 (f7597f40e5a7af25ae5f07e34310df24ac3284b9e0cadcb013a9c155384e9100)

Typosquatting package published from a compromised account with an embedded infostealer. The infostealer is a heavily obfuscated JavaScript code executed using Bun runtime on Python startup. It collects all kinds of sensitive data, including API keys, credentials to package repositories, cryptocurrency assets, password manager data. Infostealer actively queries online services to collect additional secrets as well as attempts to gain persistence and spread further by publishing infected packages using collected credentials. Data are exfiltrated likely using Github. The code seems to threaten to wipe the user's data if it detects invalid GitHub tokens. Cleanup should be done with caution.

It seems to be related to the recent Mini Shai Hulud campaign.

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

Campaign: 2026-06-compr-woodpecker

Reasons (based on the campaign):

compromised-package
exfiltration-env-variables
exfiltration-cloud-tokens
exfiltration-credentials
abuses-pth
obfuscation
infostealer
The package contains code to detect if it is running in a sandbox environment.
exfiltration-crypto
files-exfiltration
destructive-actions

CWE

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

Credits

Amazon Inspector inspector-research@amazon.com

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

JSON

To clipboard

{
  "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": "openai-setup.pth",
              "sha256": "6506d31707a39949f89534bf9705bcf889f1ecae3dbc6f4ff88d67a8be3d01b2",
              "tlsh": "8721015780038160da72d627cb2929f4278b0cbb4e538b1b8de8d9c172d0d1197b6b48"
            },
            {
              "path": "openai_mcp/__init__.py",
              "sha256": "f8eba7aafc46f204c266493e54a50de3699375e8643081c5b18390e5328108b1",
              "tlsh": "b2522058ab15fa37d4918ae0da53d511c72598c38e023ab9379d01f91f1ba2ed9f838c"
            }
          ],
          "package_integrity": [
            {
              "filename": "openai_mcp-2.41.1-py3-none-any.whl",
              "hashes": {
                "blake2b_256": "ac5d310d6104cd15ada46c4bdc20a4e8636df5ecaff9d712aa05f1c1f6b513e7",
                "md5": "38f74025b26c1d96d8dbd1e6641f29df",
                "sha256": "3d04b9631c921da2454a566a8882a96641af8ad58a9c6b9882bd029dcf7d00d4"
              }
            }
          ]
        }
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "openai-mcp"
      },
      "versions": [
        "2.41.1",
        "2.41.2"
      ]
    }
  ],
  "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": "ANALYST"
    }
  ],
  "database_specific": {
    "malicious-packages-origins": [
      {
        "id": "pypi/2026-06-compr-woodpecker/openai-mcp",
        "import_time": "2026-06-08T11:41:02.54656078Z",
        "modified_time": "2026-06-08T10:18:12.243859Z",
        "sha256": "f7597f40e5a7af25ae5f07e34310df24ac3284b9e0cadcb013a9c155384e9100",
        "source": "kam193",
        "versions": [
          "2.41.1",
          "2.41.2"
        ]
      },
      {
        "id": "pypi/2026-06-compr-woodpecker/openai-mcp",
        "import_time": "2026-06-09T07:48:29.65920735Z",
        "modified_time": "2026-06-08T10:18:12.243859Z",
        "sha256": "a230c4f21adcef632bb3c8fcf647b47ea074ba8b050cab7ca50062fc25b980bf",
        "source": "kam193",
        "versions": [
          "2.41.1",
          "2.41.2"
        ]
      },
      {
        "id": "IN-MAL-2026-005694",
        "import_time": "2026-06-11T07:49:41.922345727Z",
        "modified_time": "2026-06-11T07:18:37Z",
        "sha256": "6c30f8b1a160c72529e2671b81be13ea671302e9bc3915ee84bd2212e0fdd5a3",
        "source": "amazon-inspector",
        "versions": [
          "2.41.1"
        ]
      }
    ]
  },
  "details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (6c30f8b1a160c72529e2671b81be13ea671302e9bc3915ee84bd2212e0fdd5a3)\nThe package name and module structure impersonate the official `openai` Python SDK (the package even rewrites exported classes\u0027 `__module__` attribute to `\"openai\"` in `openai_mcp/__init__.py`). Alongside the cloned SDK, it ships `openai-setup.pth`, which Python auto-loads on every interpreter start. The.pth file contains a single-line, heavily aliased `exec()` payload (single-letter names like `_O`, `_T`, `_u`, `_s`, `_b`, `_z`) that: (1) checks a one-shot guard `/tmp/.bun_ran`, (2) downloads the Bun JavaScript runtime from `https://github.com/oven-sh/bun/releases/download/bun-v1.3.13/bun-\u003cplatform\u003e-\u003carch\u003e.zip` to `/tmp/b/bun` and chmods it executable, (3) locates a sibling `_index.js` on `sys.path`, and (4) runs `bun run _index.js`. Because.pth files execute at every Python startup (not just at install), every `python` invocation after `pip install openai-mcp` downloads an alien runtime and executes the package\u0027s JavaScript payload through it \u2014 an alternate-runtime dropper that evades Python-only scanners. The obfuscation, one-shot guard, identity spoofing, and runtime-laundering together establish clear malicious intent.\n\n## Source: kam193 (f7597f40e5a7af25ae5f07e34310df24ac3284b9e0cadcb013a9c155384e9100)\nTyposquatting package published from a compromised account with an embedded infostealer. The infostealer is a heavily obfuscated JavaScript code executed using Bun runtime on Python startup. It collects all kinds of sensitive data, including API keys, credentials to package repositories, cryptocurrency assets, password manager data. Infostealer actively queries online services to collect additional secrets as well as attempts to gain persistence and spread further by publishing infected packages using collected credentials. Data are exfiltrated likely using Github. The code seems to threaten to wipe the user\u0027s data if it detects invalid GitHub tokens. Cleanup should be done with caution.\n\nIt seems to be related to the recent Mini Shai Hulud campaign.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-06-compr-woodpecker\n\n\nReasons (based on the campaign):\n\n\n - compromised-package\n\n\n - exfiltration-env-variables\n\n\n - exfiltration-cloud-tokens\n\n\n - exfiltration-credentials\n\n\n - abuses-pth\n\n\n - obfuscation\n\n\n - infostealer\n\n\n - The package contains code to detect if it is running in a sandbox environment.\n\n\n - exfiltration-crypto\n\n\n - files-exfiltration\n\n\n - destructive-actions\n",
  "id": "MAL-2026-5320",
  "modified": "2026-06-11T07:52:13Z",
  "published": "2026-06-08T10:18:12Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://socket.dev/blog/shai-hulud-descends-to-hades-miasma-pypi-wave"
    },
    {
      "type": "WEB",
      "url": "https://o3.security/blog/pypi-supply-chain-attack-pth-file-miasma"
    },
    {
      "type": "WEB",
      "url": "https://bad-packages.kam193.eu/pypi/package/openai-mcp"
    },
    {
      "type": "WEB",
      "url": "https://socket.dev/blog/mini-shai-hulud-miasma-and-hades-worms-target-bioinformatics-and-mcp-developers-via-malicious"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/openai-mcp/2.41.1/"
    }
  ],
  "schema_version": "1.7.4",
  "summary": "Malicious code in openai-mcp (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.

Detection rules are retrieved from Rulezet.

Action not permitted