PYSEC-2024-277
Vulnerability from pysec - Published: 2024-05-17 19:15 - Updated: 2026-05-21 14:54
VLAI
Details
joblib v1.4.2 was discovered to contain a deserialization vulnerability via the component joblib.numpy_pickle::NumpyArrayWrapper().read_array(). NOTE: this is disputed by the supplier because NumpyArrayWrapper is only used during caching of trusted content.
Severity
7.5 (High)
Impacted products
| Name | purl | joblib | pkg:pypi/joblib |
|---|
Aliases
{
"affected": [
{
"ecosystem_specific": {},
"package": {
"ecosystem": "PyPI",
"name": "joblib",
"purl": "pkg:pypi/joblib"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.4.2"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.10.0",
"0.10.2",
"0.10.3",
"0.11",
"0.11a3",
"0.12.0",
"0.12.1",
"0.12.2",
"0.12.3",
"0.12.4",
"0.12.5",
"0.13.0",
"0.13.1",
"0.13.2",
"0.14.0",
"0.14.1",
"0.15.0",
"0.15.1",
"0.16.0",
"0.17.0",
"0.1a",
"0.1a.dev",
"0.2a.dev",
"0.3.1a.dev",
"0.3.2.dev",
"0.3.2a.dev",
"0.3.2b.dev",
"0.3.2c.dev",
"0.3.2d",
"0.3.2d.dev",
"0.3.2e.dev",
"0.3.2f",
"0.3.2f.dev",
"0.3.2g.dev",
"0.3.3a.dev",
"0.3.3b.dev",
"0.3.3c.dev",
"0.3.4.dev",
"0.3.5.dev",
"0.3.6.dev",
"0.3.7.dev",
"0.3a.dev",
"0.4.0.dev",
"0.4.1.dev",
"0.4.2.dev",
"0.4.3.dev",
"0.4.4.dev",
"0.4.5.dev",
"0.4.6.dev",
"0.5.0.dev",
"0.5.0a.dev",
"0.5.1.dev",
"0.5.2.dev",
"0.5.3.dev",
"0.5.4.dev",
"0.5.5.dev",
"0.5.6.dev",
"0.5.7",
"0.5.7.dev",
"0.5.7a",
"0.5.7a.dev",
"0.5.7b.dev",
"0.6.0",
"0.6.0a",
"0.6.0b",
"0.6.0b2",
"0.6.0b3",
"0.6.1",
"0.6.2",
"0.6.3",
"0.6.4",
"0.6.5",
"0.7.0a",
"0.7.0b",
"0.7.0c",
"0.7.0d",
"0.7.1",
"0.8.0",
"0.8.0a",
"0.8.0a2",
"0.8.0a3",
"0.8.1",
"0.8.2",
"0.8.3",
"0.8.3-r1",
"0.8.4",
"0.9.0b2",
"0.9.0b3",
"0.9.0b4",
"0.9.1",
"0.9.2",
"0.9.3",
"0.9.4",
"1.0.0",
"1.0.1",
"1.1.0",
"1.1.0a0",
"1.1.1",
"1.2.0",
"1.3.0",
"1.3.1",
"1.3.2",
"1.4.0",
"1.4.2"
]
}
],
"aliases": [
"CVE-2024-34997"
],
"details": "joblib v1.4.2 was discovered to contain a deserialization vulnerability via the component joblib.numpy_pickle::NumpyArrayWrapper().read_array(). NOTE: this is disputed by the supplier because NumpyArrayWrapper is only used during caching of trusted content.",
"id": "PYSEC-2024-277",
"modified": "2026-05-21T14:54:30.656359Z",
"published": "2024-05-17T19:15:07.373Z",
"references": [
{
"type": "REPORT",
"url": "https://github.com/joblib/joblib/issues/1582"
},
{
"type": "REPORT",
"url": "https://github.com/joblib/joblib/issues/977"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…