CVE-2026-57516
CVSS v3
8.8
HIGH
EPSS Score
0.9 %
exploit probability, as of 2026-10-17
CISA KEV
No
known exploited
Exploitation
—
SSVC status
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Affected and fixed versions
Packages from OSV.dev and products from the vendors' CSAF advisories.
version not verifiedVersions not verified: read as OSV.dev and the vendors publish them, not checked against each vendor's release list.
Packages
- rayPyPIall versions · fixed in 2.56.0
Vendor advisories
ray: Ray: Remote code execution via unsafe deserialization in WebDataset reader
rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server · rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI)
Red Hat Security Advisory: Red Hat Enterprise Linux AI 3.3.7 security update
Red Hat Security Advisory: Red Hat Enterprise Linux AI 3.3.7 security update
Red Hat Security Advisory: Red Hat AI Inference Server 3.3.7 (CUDA)
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (CUDA)
Description
Ray prior to 2.56.0 contains an unsafe deserialization vulnerability in the WebDataset reader that allows attackers to achieve remote code execution by supplying a malicious tar archive to the read_webdataset() function. The _default_decoder() function in webdataset_datasource.py unconditionally calls pickle.loads() on tar entries with .pkl/.pickle extensions and torch.load() with weights_only=False on .pt/.pth entries, executing arbitrary code inside Ray remote workers on every worker that processes the malicious archive.
Technical details
- CVSS v3 Vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Published
- 2026-07-01
- Last Modified
- 2026-07-02
Frequently asked questions
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