Vulnerability-Lookup

UBUNTU-CVE-2025-12060 (CVE-2025-12060)

Vulnerability from osv_ubuntu – Published: 2025-10-30 17:15 – Updated: 2025-11-06 05:22 – Source website

Details

The keras.utils.get_file API in Keras, when used with the extract=True option for tar archives, is vulnerable to a path traversal attack. The utility uses Python's tarfile.extractall function without the filter="data" feature. A remote attacker can craft a malicious tar archive containing special symlinks, which, when extracted, allows them to write arbitrary files to any location on the filesystem outside of the intended destination folder. This vulnerability is linked to the underlying Python tarfile weakness, identified as CVE-2025-4517. Note that upgrading Python to one of the versions that fix CVE-2025-4517 (e.g. Python 3.13.4) is not enough. One additionally needs to upgrade Keras to a version with the fix (Keras 3.12).

Severity

8.9 (High)


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

N/A (UNKNOWN)


                    
                      medium

References

URL

Type

	https://ubuntu.com/security/CVE-2025-12060	REPORT
	https://www.cve.org/CVERecord?id=CVE-2025-12060	REPORT
	https://github.com/keras-team/keras/pull/21760	REPORT
	https://github.com/keras-team/keras/security/advi…	REPORT

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "python3-keras",
            "binary_version": "2.1.1-1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:18.04:LTS",
        "name": "keras",
        "purl": "pkg:deb/ubuntu/keras@2.1.1-1?arch=source\u0026distro=bionic"
      },
      "ranges": [
        {
          "events": [
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        }
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      "versions": [
        "1.0.7-2",
        "2.1.1-1"
      ]
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      "ecosystem_specific": {
        "binaries": [
          {
            "binary_name": "python3-keras",
            "binary_version": "2.2.4-1"
          }
        ]
      },
      "package": {
        "ecosystem": "Ubuntu:20.04:LTS",
        "name": "keras",
        "purl": "pkg:deb/ubuntu/keras@2.2.4-1?arch=source\u0026distro=focal"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.2.4-1"
      ]
    }
  ],
  "aliases": [],
  "details": "The keras.utils.get_file API in Keras, when used with the extract=True option for tar archives, is vulnerable to a path traversal attack. The utility uses Python\u0027s tarfile.extractall function without the filter=\"data\" feature. A remote attacker can craft a malicious tar archive containing special symlinks, which, when extracted, allows them to write arbitrary files to any location on the filesystem outside of the intended destination folder. This vulnerability is linked to the underlying Python tarfile weakness, identified as CVE-2025-4517.\u00a0Note that upgrading Python to one of the versions that fix CVE-2025-4517 (e.g. Python 3.13.4) is not enough. One additionally needs to upgrade Keras to a version with the fix (Keras 3.12).",
  "id": "UBUNTU-CVE-2025-12060",
  "modified": "2025-11-06T05:22:37Z",
  "published": "2025-10-30T17:15:00Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://ubuntu.com/security/CVE-2025-12060"
    },
    {
      "type": "REPORT",
      "url": "https://www.cve.org/CVERecord?id=CVE-2025-12060"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/keras-team/keras/pull/21760"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/keras-team/keras/security/advisories/GHSA-hjqc-jx6g-rwp9"
    }
  ],
  "related": [],
  "schema_version": "1.7.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H",
      "type": "CVSS_V4"
    },
    {
      "score": "medium",
      "type": "Ubuntu"
    }
  ],
  "upstream": [
    "CVE-2025-12060"
  ]
}

CVE-2025-12060 (GCVE-0-2025-12060)

Vulnerability from cvelistv5 – Published: 2025-10-30 17:10 – Updated: 2026-02-26 16:56

Title

Keras keras.utils.get_file Utility Path Traversal Vulnerability

Summary

Severity

8.9 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-11-01 03:55 UTC

CWE

CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Assigner

Google CNA under the Google root

CNA scorecard B 77/100 over 38 records in the last 180 days details

References

2 references

URL	Tags
https://github.com/keras-team/keras/pull/21760
https://github.com/keras-team/keras/security/advi…

Impacted products

1 product

Vendor	Product	Version
Keras	Keras	Affected: 3.0.0 , ≤ 3.11.3 (semver) cpe:2.3:a:keras:keras::::::::

Credits

Krishna Gudimetla

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

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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.
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