CVE-2026-57516 (GCVE-0-2026-57516)

Vulnerability from cvelistv5 – Published: 2026-07-01 16:36 – Updated: 2026-07-14 21:34 X_Open Source
VLAI
Title
Ray < 2.56.0 Unsafe Deserialization RCE via WebDataset Reader
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.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-01 17:53 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
Impacted products
Vendor Product Version CPE status
Anyscale, Inc Ray Affected: 0 , < 2.56.0 (semver)
    cpe:2.3:a:anyscale:ray:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-05-18 00:00
Show details on NVD website

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              "url": "https://github.com/ray-project/ray/pull/63470"
            },
            {
              "tags": [
                "third-party-advisory"
              ],
              "url": "https://www.vulncheck.com/advisories/ray-unsafe-deserialization-rce-via-webdataset-reader"
            }
          ],
          "source": {
            "discovery": "UNKNOWN"
          },
          "tags": [
            "x_open-source"
          ],
          "title": "Ray \u003c 2.56.0 Unsafe Deserialization RCE via WebDataset Reader",
          "x_generator": {
            "engine": "vulncheck"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "assignerShortName": "VulnCheck",
        "cveId": "CVE-2026-57516",
        "datePublished": "2026-07-01T16:36:55.765Z",
        "dateReserved": "2026-06-24T15:58:58.537Z",
        "dateUpdated": "2026-07-14T21:34:31.049Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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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.

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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.


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