mal-2026-13489
Vulnerability from ossf_malicious_packages
Published
2026-08-07 07:04
Modified
2026-08-07 12:25
Summary
Malicious code in pydanticc (PyPI)
Details
-= Per source details. Do not edit below this line.=-
Source: amazon-inspector (0bc3a091548db52bab3bf8556e95780b3041aa971b6353d7f31bdb71128915a1)
pydanticc is a typosquat of the popular 'pydantic' package. Its setup.py defines a custom setuptools install command whose body is stored as a base64 string literal and reconstituted at install time via base64.b64decode + compile + exec, concealing the payload from plain reading of setup.py. On Linux, the decoded hook downloads an opaque executable from https://github.com/totti2188/8gp1Q7iZD3h4VW/releases/download/v1.3A/something (a personal GitHub account unrelated to the package's stated purpose), writes it to /tmp/something, marks it executable, and launches it detached via subprocess.Popen with start_new_session=True. The shipped Python module (djangoo/main.py) contains only a trivial hello() print with no pydantic-related functionality, so the package's real effect on installation is arbitrary remote code execution on the installer's host. The unpinned personal-account release URL, base64/exec obfuscation of the URL and Popen call, detached background execution, name-squat of a top-100 package, and stub content together constitute a classic install-time dropper.
Source: kam193 (c16b176d1ba6ee3f4f1680d0678c9933e620f4de18bec7bc9af67978ed737527)
Package imitates name of a popula library. During installation, obfuscated code downloads a malicious executable and starts it. It then exfiltrates at least cryptocurrency wallet data, probably more.
Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.
Campaign: 2026-08-flasq
Reasons (based on the campaign):
-
typosquatting
-
The package overrides the install command in setup.py to execute malicious code during installation.
-
exfiltration-generic
-
Downloads and executes a remote executable.
-
obfuscation
-
exfiltration-crypto
CWE
- CWE-506 - The product contains code that appears to be malicious in nature.
- CWE-506 - The product contains code that appears to be malicious in nature.
- CWE-506 - The product contains code that appears to be malicious in nature.
- 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"
},
{
"cweId": "CWE-506",
"description": "The product contains code that appears to be malicious in nature.",
"name": "Embedded Malicious Code"
},
{
"cweId": "CWE-506",
"description": "The product contains code that appears to be malicious in nature.",
"name": "Embedded Malicious Code"
},
{
"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": "f08f648a6d275f6e767723384c7628135b1a148a0837c60120be41d2f296bf39",
"tlsh": "a621685f8e6111b47c18c7845553401b1767afa56c2074e4befe23642b8d29dca7f097"
}
],
"package_integrity": [
{
"filename": "pydanticc-0.3.0.tar.gz",
"hashes": {
"blake2b_256": "c0c4d63f38af89e094a1ba207e8308f5e67bd9d1e8ae2bacd6cc662e99fc61d3",
"md5": "989cd8bb5840cb70890827192d855cd2",
"sha256": "ad7b749fc925b55e2be3274216e3254927b493393e5e91881dbf614395f8d7c5"
}
}
]
}
},
"package": {
"ecosystem": "PyPI",
"name": "pydanticc"
},
"versions": [
"0.1.1",
"0.1.2",
"0.2.0",
"0.3.0"
]
}
],
"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": {
"iocs": {
"ips": [
"193.70.34.101"
],
"urls": [
"https://github.com/totti2188/8gp1Q7iZD3h4VW/releases/download/v1.3A/something"
]
},
"malicious-packages-origins": [
{
"id": "pypi/2026-08-flasq/pydanticc",
"import_time": "2026-08-07T07:35:19.075614837Z",
"modified_time": "2026-08-07T07:04:59.702408Z",
"sha256": "c16b176d1ba6ee3f4f1680d0678c9933e620f4de18bec7bc9af67978ed737527",
"source": "kam193",
"versions": [
"0.1.1",
"0.1.2",
"0.2.0",
"0.3.0"
]
},
{
"id": "pypi/2026-08-flasq/pydanticc",
"import_time": "2026-08-07T08:57:13.35342027Z",
"modified_time": "2026-08-07T07:04:59.702408Z",
"sha256": "faf0b5d83a6387044068dd0d4eb61cef977123164e4be406b16bf2c38ac4f9ed",
"source": "kam193",
"versions": [
"0.1.1",
"0.1.2",
"0.2.0",
"0.3.0"
]
},
{
"id": "IN-MAL-2026-016901",
"import_time": "2026-08-07T12:23:26.426157732Z",
"modified_time": "2026-08-07T12:15:07Z",
"sha256": "0b849ee630b66e8839acdf0c7830372ba690b80f182434aea2816513ee2b35ad",
"source": "amazon-inspector",
"versions": [
"0.3.0"
]
},
{
"id": "IN-MAL-2026-016905",
"import_time": "2026-08-07T12:23:26.612026649Z",
"modified_time": "2026-08-07T12:15:39Z",
"sha256": "0bc3a091548db52bab3bf8556e95780b3041aa971b6353d7f31bdb71128915a1",
"source": "amazon-inspector",
"versions": [
"0.1.2"
]
},
{
"id": "IN-MAL-2026-016900",
"import_time": "2026-08-07T12:23:26.397263297Z",
"modified_time": "2026-08-07T12:14:58Z",
"sha256": "341e293bf68c074727878e98df5cad5aad9f711aca022d4e95b5e7723adf4a88",
"source": "amazon-inspector",
"versions": [
"0.2.0"
]
},
{
"id": "IN-MAL-2026-016904",
"import_time": "2026-08-07T12:23:26.581077987Z",
"modified_time": "2026-08-07T12:15:30Z",
"sha256": "924a5e8609b73977255f604d1e6f55179d72569ffb2698c8c54af1b258b36a90",
"source": "amazon-inspector",
"versions": [
"0.1.1"
]
}
]
},
"details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (0bc3a091548db52bab3bf8556e95780b3041aa971b6353d7f31bdb71128915a1)\npydanticc is a typosquat of the popular \u0027pydantic\u0027 package. Its setup.py defines a custom setuptools install command whose body is stored as a base64 string literal and reconstituted at install time via base64.b64decode + compile + exec, concealing the payload from plain reading of setup.py. On Linux, the decoded hook downloads an opaque executable from https://github.com/totti2188/8gp1Q7iZD3h4VW/releases/download/v1.3A/something (a personal GitHub account unrelated to the package\u0027s stated purpose), writes it to /tmp/something, marks it executable, and launches it detached via subprocess.Popen with start_new_session=True. The shipped Python module (djangoo/main.py) contains only a trivial hello() print with no pydantic-related functionality, so the package\u0027s real effect on installation is arbitrary remote code execution on the installer\u0027s host. The unpinned personal-account release URL, base64/exec obfuscation of the URL and Popen call, detached background execution, name-squat of a top-100 package, and stub content together constitute a classic install-time dropper.\n\n## Source: kam193 (c16b176d1ba6ee3f4f1680d0678c9933e620f4de18bec7bc9af67978ed737527)\nPackage imitates name of a popula library. During installation, obfuscated code downloads a malicious executable and starts it. It then exfiltrates at least cryptocurrency wallet data, probably more.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-08-flasq\n\n\nReasons (based on the campaign):\n\n\n - typosquatting\n\n\n - The package overrides the install command in setup.py to execute malicious code during installation.\n\n\n - exfiltration-generic\n\n\n - Downloads and executes a remote executable.\n\n\n - obfuscation\n\n\n - exfiltration-crypto\n",
"id": "MAL-2026-13489",
"modified": "2026-08-07T12:25:23.197546158Z",
"published": "2026-08-07T07:04:59Z",
"references": [
{
"type": "EVIDENCE",
"url": "https://www.virustotal.com/gui/file/425f5336182e359211b5d751786d2ce1d31a673ea9c82107358a888803742649/detection"
},
{
"type": "WEB",
"url": "https://bad-packages.kam193.eu/pypi/package/pydanticc"
},
{
"type": "EVIDENCE",
"url": "https://tria.ge/260807-fkycrazzg1/behavioral1"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/pydanticc/0.3.0/"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/pydanticc/0.1.2/"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/pydanticc/0.2.0/"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/pydanticc/0.1.1/"
}
],
"schema_version": "1.7.4",
"summary": "Malicious code in pydanticc (PyPI)"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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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.
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.
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