PYSEC-2026-3629

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

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore._verify_dataset() and file_editor.py methods, which fail to check the dataset.is_virtual property of HDF5 datasets. This allows an attacker to craft a malicious .keras model archive or .h5 weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using keras.models.load_model() or keras.saving.load_model(), the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.

Severity
5.5 (Medium)
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Impacted products
Name purl
keras pkg:pypi/keras
Aliases
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-2026-12480",
    "GHSA-26c4-7vv6-867j"
  ],
  "details": "Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim\u0027s filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.",
  "id": "PYSEC-2026-3629",
  "modified": "2026-08-10T11:01:44.117897Z",
  "published": "2026-08-10T10:43:49.083911Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12480"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/commit/8f987f11bf7512f0df4774a8f1557bba07dc2b49"
    },
    {
      "type": "WEB",
      "url": "https://github.com/keras-team/keras/commit/d5a88bdb137c0d3039b8f4bbbe8c7099925cc10c"
    },
    {
      "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/1875d257-5b03-4a69-ac70-e98653fa12c7"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/keras"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-26c4-7vv6-867j"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Keras: HDF5 virtual datasets can disclose local files"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.



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.