Vulnerability-Lookup

GHSA-48G7-3X6R-XFHP

Vulnerability from github – Published: 2025-03-11 20:07 – Updated: 2026-06-06 00:30

Summary

Arbitrary Code Execution via Crafted Keras Config for Model Loading

Details

Impact

The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.

Patches

This problem is fixed starting with version 3.9.

Workarounds

Only load models from trusted sources and model archives created with Keras.

References

https://www.cve.org/cverecord?id=CVE-2025-1550
https://github.com/keras-team/keras/pull/20751

Severity

7.3 (High)


                  
                    CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "keras"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.0.0"
            },
            {
              "fixed": "3.9.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-1550"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-03-11T20:07:32Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "### Impact\n\nThe Keras `Model.load_model` function permits arbitrary code execution, even with `safe_mode=True`, through a manually constructed, malicious `.keras` archive. By altering the `config.json` file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.\n\n### Patches\n\nThis problem is fixed starting with version `3.9`.\n\n### Workarounds\n\nOnly load models from trusted sources and model archives created with Keras.\n\n### References\n\n- https://www.cve.org/cverecord?id=CVE-2025-1550\n- https://github.com/keras-team/keras/pull/20751",
  "id": "GHSA-48g7-3x6r-xfhp",
  "modified": "2026-06-06T00:30:36Z",
  "published": "2025-03-11T20:07:32Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/security/advisories/GHSA-48g7-3x6r-xfhp"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-1550"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/pull/20751"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/commit/e67ac8ffd0c883bec68eb65bb52340c7f9d3a903"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/keras-team/keras"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/releases/tag/v3.9.0"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/keras/PYSEC-2025-122.yaml"
    },
    {
      "type": "WEB",
      "url": "https://towerofhanoi.it/writeups/cve-2025-1550"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Arbitrary Code Execution via Crafted Keras Config for Model Loading"
}

CVE-2025-1550 (GCVE-0-2025-1550)

Vulnerability from cvelistv5 – Published: 2025-03-11 08:12 – Updated: 2025-07-24 15:28

Title

Arbitrary Code Execution via Crafted Keras Config for Model Loading

Summary

The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.

Severity

7.3 (High)


                        
                          CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-07-24 15:28 UTC

CWE

CWE-94 - Improper Control of Generation of Code ('Code Injection')

Assigner

Google Google root

References

2 references

URL	Tags
https://github.com/keras-team/keras/pull/20751
https://towerofhanoi.it/writeups/cve-2025-1550/

Impacted products

1 product

Vendor	Product	Version
Google	Keras	Affected: 3.0.0 , < 3.8.0 (python)

Credits

Gabriele Digregorio

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-1550",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-07-24T15:28:37.159599Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
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        ],
        "providerMetadata": {
          "dateUpdated": "2025-07-24T15:28:42.230Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
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          "collectionURL": "https://pypi.org/project/keras",
          "defaultStatus": "unaffected",
          "product": "Keras",
          "repo": "https://github.com/keras-team/keras",
          "vendor": "Google",
          "versions": [
            {
              "lessThan": "3.8.0",
              "status": "affected",
              "version": "3.0.0",
              "versionType": "python"
            }
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        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "reporter",
          "value": "Gabriele Digregorio"
        }
      ],
      "descriptions": [
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          "supportingMedia": [
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              "base64": false,
              "type": "text/html",
              "value": "The Keras \u003ccode\u003eModel.load_model\u003c/code\u003e function permits arbitrary code execution, even with \u003ccode\u003esafe_mode=True\u003c/code\u003e, through a manually constructed, malicious \u003ccode\u003e.keras\u003c/code\u003e archive. By altering the \u003ccode\u003econfig.json\u003c/code\u003e file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading."
            }
          ],
          "value": "The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading."
        }
      ],
      "impacts": [
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          "capecId": "CAPEC-88",
          "descriptions": [
            {
              "lang": "en",
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      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "PRESENT",
            "attackVector": "LOCAL",
            "baseScore": 7.3,
            "baseSeverity": "HIGH",
            "privilegesRequired": "LOW",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "HIGH",
            "subConfidentialityImpact": "HIGH",
            "subIntegrityImpact": "HIGH",
            "userInteraction": "ACTIVE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
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          "format": "CVSS",
          "scenarios": [
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              "lang": "en",
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      "problemTypes": [
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          "descriptions": [
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              "cweId": "CWE-94",
              "description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
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      ],
      "providerMetadata": {
        "dateUpdated": "2025-07-22T15:26:36.374Z",
        "orgId": "14ed7db2-1595-443d-9d34-6215bf890778",
        "shortName": "Google"
      },
      "references": [
        {
          "url": "https://github.com/keras-team/keras/pull/20751"
        },
        {
          "url": "https://towerofhanoi.it/writeups/cve-2025-1550/"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Arbitrary Code Execution via Crafted Keras Config for Model Loading",
      "x_generator": {
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  "cveMetadata": {
    "assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778",
    "assignerShortName": "Google",
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    "datePublished": "2025-03-11T08:12:34.974Z",
    "dateReserved": "2025-02-21T11:13:03.951Z",
    "dateUpdated": "2025-07-24T15:28:42.230Z",
    "state": "PUBLISHED"
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  "dataType": "CVE_RECORD",
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}

PYSEC-2025-122

Vulnerability from pysec - Published: 2025-03-11 09:15 - Updated: 2026-05-20 09:19

Details

Severity

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/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": "3.0.0"
            },
            {
              "fixed": "3.8.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "3.0.0",
        "3.0.1",
        "3.0.2",
        "3.0.3",
        "3.0.4",
        "3.0.5",
        "3.1.0",
        "3.1.1",
        "3.2.0",
        "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"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-1550",
    "GHSA-48g7-3x6r-xfhp"
  ],
  "details": "The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.",
  "id": "PYSEC-2025-122",
  "modified": "2026-05-20T09:19:03.485572Z",
  "published": "2025-03-11T09:15:25.217Z",
  "references": [
    {
      "type": "FIX",
      "url": "https://github.com/keras-team/keras/pull/20751"
    },
    {
      "type": "EVIDENCE",
      "url": "https://towerofhanoi.it/writeups/cve-2025-1550/"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-48g7-3x6r-xfhp"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

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

GHSA-48G7-3X6R-XFHP

Impact

Patches

Workarounds

References

CVE-2025-1550 (GCVE-0-2025-1550)

PYSEC-2025-122

Tags

Sightings

Nomenclature

Related by attack behaviour