PYSEC-2025-32
Vulnerability from pysec - Published: 2025-04-09 16:15 - Updated: 2025-04-22 19:21
VLAI?
Details
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.8, there was an insecure deserialization in BentoML's runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. This vulnerability is fixed in 1.4.8.
Severity ?
9.8 (Critical)
Impacted products
| Name | purl | bentoml | pkg:pypi/bentoml |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "bentoml",
"purl": "pkg:pypi/bentoml"
},
"ranges": [
{
"events": [
{
"introduced": "1.0.0"
},
{
"fixed": "1.4.8"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.0.0",
"1.0.10",
"1.0.11",
"1.0.12",
"1.0.13",
"1.0.14",
"1.0.15",
"1.0.16",
"1.0.17",
"1.0.18",
"1.0.19",
"1.0.2",
"1.0.20",
"1.0.21",
"1.0.22",
"1.0.23",
"1.0.24",
"1.0.25",
"1.0.3",
"1.0.4",
"1.0.5",
"1.0.6",
"1.0.7",
"1.0.8",
"1.0.9",
"1.1.0",
"1.1.1",
"1.1.10",
"1.1.11",
"1.1.2",
"1.1.3",
"1.1.4",
"1.1.5",
"1.1.6",
"1.1.7",
"1.1.8",
"1.1.9",
"1.2.0",
"1.2.0a0",
"1.2.0a1",
"1.2.0a2",
"1.2.0a3",
"1.2.0a4",
"1.2.0a5",
"1.2.0a6",
"1.2.0a7",
"1.2.0rc1",
"1.2.1",
"1.2.10",
"1.2.11",
"1.2.12",
"1.2.13",
"1.2.14",
"1.2.15",
"1.2.16",
"1.2.17",
"1.2.18",
"1.2.19",
"1.2.1a1",
"1.2.2",
"1.2.20",
"1.2.3",
"1.2.4",
"1.2.5",
"1.2.6",
"1.2.7",
"1.2.8",
"1.2.9",
"1.3.0",
"1.3.0a1",
"1.3.0a2",
"1.3.0a3",
"1.3.1",
"1.3.10",
"1.3.11",
"1.3.12",
"1.3.13",
"1.3.14",
"1.3.15",
"1.3.16",
"1.3.17",
"1.3.18",
"1.3.19",
"1.3.2",
"1.3.20",
"1.3.21",
"1.3.22",
"1.3.3",
"1.3.4.post1",
"1.3.5",
"1.3.6",
"1.3.7",
"1.3.8",
"1.3.9",
"1.4.0",
"1.4.0a1",
"1.4.0a2",
"1.4.1",
"1.4.2",
"1.4.3",
"1.4.4",
"1.4.5",
"1.4.6",
"1.4.7"
]
}
],
"aliases": [
"CVE-2025-32375"
],
"details": "BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.8, there was an insecure deserialization in BentoML\u0027s runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. This vulnerability is fixed in 1.4.8.",
"id": "PYSEC-2025-32",
"modified": "2025-04-22T19:21:34.073355+00:00",
"published": "2025-04-09T16:15:25+00:00",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26"
},
{
"type": "EVIDENCE",
"url": "https://github.com/bentoml/BentoML/security/advisories/GHSA-7v4r-c989-xh26"
}
],
"related": [
"GHSA-7v4r-c989-xh26",
"GHSA-7v4r-c989-xh26"
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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Sightings
| Author | Source | Type | Date |
|---|
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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