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Fencer Intel
high 8.8

CVE-2026-57516 json

Ray < 2.56.0 Unsafe Deserialization RCE via WebDataset Reader

published 4mo ago modified 3d ago also EUVD-2026-41089 , GHSA-hhrp-gw25-jr43 , PYSEC-2026-2273

cvss
8.8
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.9%
EPSS 0.9% chance of exploitation in 30 days, percentile 58%
public exploits
0
none known

Summary

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.

Patch / fix

  • pypi ray 2.56.0
  • Anyscale, Inc Ray 2.56.0

Is CVE-2026-57516 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.

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Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2026-57516 updated cvss 8.8

ray: Ray: Remote code execution via unsafe deserialization in WebDataset reader

  • Red Hat AI Inference Server rhaii/vllm-gaudi-rhel9 Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-gaudi-rhel9
    affected: workaround, no fix planned “Will not fix”
  • Red Hat AI Inference Server 3.2 rhaiis/vllm-cuda-rhel9 1787860580
    fixed: vendor fix RHSA-2026:61627
  • Red Hat AI Inference Server 3.3 rhaiis/vllm-cuda-rhel9 1789582776
    fixed: vendor fix RHSA-2026:68699
  • Red Hat Enterprise Linux AI 3.3 rhelai3/bootc-cuda-rhel9 1790866732, rhelai3/bootc-aws-cuda-rhel9 1790936334, rhelai3/bootc-gcp-cuda-rhel9 1790936334, rhelai3/disk-image-cuda-rhel9 1790954179, rhelai3/bootc-azure-cuda-rhel9 1790936351
    fixed: vendor fix RHSA-2026:76041
  • Red Hat OpenShift AI 3.4 rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9 1792721112, rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9 1792721018, rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9 1792721192, rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9 1792722164, rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9 1792721192, rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9 1792721265, +6 more
    fixed: vendor fix RHSA-2026:92510
  • Red Hat Enterprise Linux AI 3.3 rhelai3/bootc-rocm-rhel9 1790791893, rhelai3/bootc-azure-rocm-rhel9 1790850900 Red Hat OpenShift AI (RHOAI) rhoai/odh-vllm-gaudi-rhel9, rhoai/odh-kserve-agent-rhel9, rhoai/odh-kserve-router-rhel9, rhoai/odh-kserve-controller-rhel9, rhoai/odh-kserve-storage-initializer-rhel9 Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1792722177, rhoai/rhai-cli-rhel9 1792722177, rhoai/odh-automl-rhel9 1792697253, rhoai/odh-mlflow-rhel9 1793002327, rhoai/odh-autorag-rhel9 1793265800, rhoai/odh-trainer-rhel9 1792817113, +88 more
    not affected: vulnerable code not present

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

CISA SSVC

Exploitation
Proof of concept is public
Automatable
no
Technical impact
total
Assessed
4mo ago

Exploit prediction

0.86% chance of exploitation in the next 30 days, higher than 58% of all scored CVEs (FIRST EPSS, 2026-11-11).

Exploits and checks

  • github.com https://github.com/ray-project/ray/security/advisories/GHSA-hhrp-gw25-jr43 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 4.0 8.6 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
CNA 3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
GitHub 3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CNA 4.0 8.6 CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Affected packages

ecosystem package affected fixed in
pypi ray
<2.56.0
2.56.0

Affected products

  • Anyscale, Inc Ray

Classification

Weakness
  • CWE-502 Deserialization of Untrusted Data
  • CWE-94 Improper Control of Generation of Code

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.

The maintainers of ray-project/ray published their own advisory on GitHub. Reviewed sources take precedence over it.