Vulnerability-Lookup

PYSEC-2026-3634

Vulnerability from pysec - Published: 2026-08-10 10:43 - Updated: 2026-08-10 11:01

Details

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public keras.layers.TorchModuleWrapper.from_config method. This method invokes torch.load(..., weights_only=False) without requiring an explicit unsafe opt-in, such as a safe_mode=False parameter. When called outside a SafeModeScope(True) context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.

Severity

7.8 (High)


                  
                    CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Impacted products

Name	purl
keras	pkg:pypi/keras

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "keras",
        "purl": "pkg:pypi/keras"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.12.3"
            },
            {
              "introduced": "3.13.0"
            },
            {
              "fixed": "3.15.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.2.0",
        "0.3.0",
        "0.3.1",
        "0.3.2",
        "0.3.3",
        "1.0.0",
        "1.0.1",
        "1.0.2",
        "1.0.3",
        "1.0.4",
        "1.0.5",
        "1.0.6",
        "1.0.7",
        "1.0.8",
        "1.1.0",
        "1.1.1",
        "1.1.2",
        "1.2.0",
        "1.2.1",
        "1.2.2",
        "2.0.0",
        "2.0.1",
        "2.0.2",
        "2.0.3",
        "2.0.4",
        "2.0.5",
        "2.0.6",
        "2.0.7",
        "2.0.8",
        "2.0.9",
        "2.1.0",
        "2.1.1",
        "2.1.2",
        "2.1.3",
        "2.1.4",
        "2.1.5",
        "2.1.6",
        "2.10.0",
        "2.10.0rc0",
        "2.10.0rc1",
        "2.11.0",
        "2.11.0rc0",
        "2.11.0rc1",
        "2.11.0rc2",
        "2.11.0rc3",
        "2.12.0",
        "2.12.0rc0",
        "2.12.0rc1",
        "2.13.1",
        "2.13.1rc0",
        "2.13.1rc1",
        "2.14.0",
        "2.14.0rc0",
        "2.15.0",
        "2.15.0rc0",
        "2.15.0rc1",
        "2.2.0",
        "2.2.1",
        "2.2.2",
        "2.2.3",
        "2.2.4",
        "2.2.5",
        "2.3.0",
        "2.3.1",
        "2.4.0",
        "2.4.1",
        "2.4.2",
        "2.4.3",
        "2.5.0rc0",
        "2.6.0",
        "2.6.0rc0",
        "2.6.0rc1",
        "2.6.0rc2",
        "2.6.0rc3",
        "2.7.0",
        "2.7.0rc0",
        "2.7.0rc2",
        "2.8.0",
        "2.8.0rc0",
        "2.8.0rc1",
        "2.9.0",
        "2.9.0rc0",
        "2.9.0rc1",
        "2.9.0rc2",
        "3.0.0",
        "3.0.1",
        "3.0.2",
        "3.0.3",
        "3.0.4",
        "3.0.5",
        "3.1.0",
        "3.1.1",
        "3.10.0",
        "3.11.0",
        "3.11.1",
        "3.11.2",
        "3.11.3",
        "3.12.0",
        "3.12.1",
        "3.12.2",
        "3.13.0",
        "3.13.1",
        "3.13.2",
        "3.14.0",
        "3.14.1",
        "3.2.0",
        "3.2.1",
        "3.3.0",
        "3.3.1",
        "3.3.2",
        "3.3.3",
        "3.4.0",
        "3.4.1",
        "3.5.0",
        "3.6.0",
        "3.7.0",
        "3.8.0",
        "3.9.0",
        "3.9.1",
        "3.9.2"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-12484",
    "GHSA-v2w2-w228-c444"
  ],
  "details": "A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.",
  "id": "PYSEC-2026-3634",
  "modified": "2026-08-10T11:01:44.665418Z",
  "published": "2026-08-10T10:43:49.248554Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12484"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/pull/23048"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/pull/23165"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/commit/55888d3becbdbb45dc16a55b489900f911e2dde5"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/commit/d338a45204bdc787c8b3c4a9b82c1911cd52dedf"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/keras-team/keras"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/releases/tag/v3.12.3"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/releases/tag/v3.15.0"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/ab14df49-13b5-4442-b754-3189430bfa28"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/keras"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-v2w2-w228-c444"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data"
}

CVE-2026-12484 (GCVE-0-2026-12484)

Vulnerability from cvelistv5 – Published: 2026-07-19 19:47 – Updated: 2026-07-20 13:45

Title

Unsafe Deserialization in keras.layers.TorchModuleWrapper.from_config

Summary

A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.

Severity

7.8 (High)


                        
                          CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-20 13:45 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

@huntr_ai mitre root

References

1 reference

URL	Tags
https://huntr.com/bounties/ab14df49-13b5-4442-b75…

Impacted products

1 product

Vendor	Product	Version
keras-team	keras-team/keras	Affected: unspecified , ≤ latest (custom)

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-12484",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-07-20T13:45:26.059176Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-07-20T13:45:55.809Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
              "exploit"
            ],
            "url": "https://huntr.com/bounties/ab14df49-13b5-4442-b754-3189430bfa28"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "keras-team/keras",
          "vendor": "keras-team",
          "versions": [
            {
              "lessThanOrEqual": "latest",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-502",
              "description": "CWE-502 Deserialization of Untrusted Data",
              "lang": "en",
              "type": "CWE"
            }
          ]
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      ],
      "providerMetadata": {
        "dateUpdated": "2026-07-19T19:47:27.743Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
      },
      "references": [
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          "url": "https://huntr.com/bounties/ab14df49-13b5-4442-b754-3189430bfa28"
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      "source": {
        "advisory": "ab14df49-13b5-4442-b754-3189430bfa28",
        "discovery": "EXTERNAL"
      },
      "title": "Unsafe Deserialization in keras.layers.TorchModuleWrapper.from_config"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
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    "datePublished": "2026-07-19T19:47:27.743Z",
    "dateReserved": "2026-06-17T02:52:42.641Z",
    "dateUpdated": "2026-07-20T13:45:55.809Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

GHSA-V2W2-W228-C444

Vulnerability from github – Published: 2026-07-19 21:30 – Updated: 2026-08-07 20:33

Summary

Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data

Details

Severity

7.8 (High)


                  
                    CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "keras"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.12.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "keras"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.13.0"
            },
            {
              "fixed": "3.15.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-12484"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-08-07T20:33:49Z",
    "nvd_published_at": "2026-07-19T20:16:28Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode.",
  "id": "GHSA-v2w2-w228-c444",
  "modified": "2026-08-07T20:33:49Z",
  "published": "2026-07-19T21:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12484"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/pull/23048"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/pull/23165"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/commit/55888d3becbdbb45dc16a55b489900f911e2dde5"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/commit/d338a45204bdc787c8b3c4a9b82c1911cd52dedf"
    },
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      "url": "https://github.com/keras-team/keras"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/releases/tag/v3.12.3"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/releases/tag/v3.15.0"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/ab14df49-13b5-4442-b754-3189430bfa28"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Keras: TorchModuleWrapper can deserialize unsafe PyTorch pickle data"
}

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 MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
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.

Action not permitted

PYSEC-2026-3634

CVE-2026-12484 (GCVE-0-2026-12484)

GHSA-V2W2-W228-C444

Tags

Sightings

Nomenclature

Related by attack behaviour