PYSEC-2026-1973
Vulnerability from pysec - Published: 2026-07-07 14:34 - Updated: 2026-07-07 17:25In the latest version of pytorch/serve, the script 'upload_results_to_s3.sh' references the S3 bucket 'benchmarkai-metrics-prod' without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.
| Name | purl | torchserve | pkg:pypi/torchserve |
|---|
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "torchserve",
"purl": "pkg:pypi/torchserve"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "0.11.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1b20200409",
"0.1.1",
"0.10.0",
"0.11.0",
"0.2.0",
"0.2.2",
"0.3.0",
"0.3.1",
"0.4.0",
"0.4.1",
"0.4.2",
"0.5.0",
"0.5.1",
"0.5.2",
"0.5.3",
"0.6.0",
"0.6.1",
"0.7.0",
"0.7.1",
"0.8.0",
"0.8.1",
"0.8.2",
"0.9.0"
]
}
],
"aliases": [
"CVE-2024-6577",
"GHSA-xx7c-j7h3-vjcq"
],
"details": "In the latest version of pytorch/serve, the script \u0027upload_results_to_s3.sh\u0027 references the S3 bucket \u0027benchmarkai-metrics-prod\u0027 without ensuring its ownership or confirming its accessibility. This could lead to potential security vulnerabilities or unauthorized access to the bucket if it is not properly secured or claimed by the appropriate entity. The issue may result in data breaches, exposure of proprietary information, or unauthorized modifications to stored data.",
"id": "PYSEC-2026-1973",
"modified": "2026-07-07T17:25:42.197856Z",
"published": "2026-07-07T14:34:54.081606Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-6577"
},
{
"type": "PACKAGE",
"url": "https://github.com/pytorch/serve"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/20917570-8328-428f-bd1d-4fcd71fb2359"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/torchserve"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-xx7c-j7h3-vjcq"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L",
"type": "CVSS_V3"
}
],
"summary": "TorchServe script references S3 bucket without ensuring ownership or confirming accessibility"
}
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.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.