PYSEC-2026-591
Vulnerability from pysec - Published: 2026-06-30 20:24 - Updated: 2026-06-30 20:24
VLAI
Details
Part of the "Hades" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08, malicious phantom releases of funcdesc 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 | funcdesc | pkg:pypi/funcdesc |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "funcdesc",
"purl": "pkg:pypi/funcdesc"
},
"versions": [
"0.2.2",
"0.2.3"
]
}
],
"aliases": [
"MAL-2026-5300"
],
"details": "Part of the \"Hades\" wave of the Shai-Hulud supply-chain campaign. On 2026-06-08,\nmalicious phantom releases of funcdesc 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-2026-591",
"modified": "2026-06-30T20:24:41Z",
"published": "2026-06-30T20:24:41Z",
"references": [
{
"type": "EVIDENCE",
"url": "https://inspector.pypi.io/project/funcdesc/0.2.3/packages/ee/07/a3a5d522d90245b00ba11d6f40608c46ce63b4dad69e51f1a197323c4053/funcdesc-0.2.3-py3-none-any.whl//funcdesc-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-pack"
}
],
"summary": "Malicious code in funcdesc (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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