GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

PYSEC-2026-3276

Vulnerability from pysec - Published: 2026-07-13 14:19 - Updated: 2026-07-13 16:06
VLAI
Details

Impact

When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. 

import tensorflow as tf
tf.raw_ops.SparseSparseMaximum(
 a_indices=[[1]],
 a_values =[ 0.1 ],
 a_shape = [2],
 b_indices=[[]],
 b_values =[2 ],
 b_shape = [2],
)

Patches

We have patched the issue in GitHub commit 5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team

Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Impacted products
Name purl
tensorflow-cpu pkg:pypi/tensorflow-cpu
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu",
        "purl": "pkg:pypi/tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.11.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.15.0",
        "2.1.0",
        "2.1.1",
        "2.1.2",
        "2.1.3",
        "2.1.4",
        "2.10.0",
        "2.10.0rc0",
        "2.10.0rc1",
        "2.10.0rc2",
        "2.10.0rc3",
        "2.10.1",
        "2.11.0",
        "2.11.0rc0",
        "2.11.0rc1",
        "2.11.0rc2",
        "2.2.0",
        "2.2.1",
        "2.2.2",
        "2.2.3",
        "2.3.0",
        "2.3.1",
        "2.3.2",
        "2.3.3",
        "2.3.4",
        "2.4.0",
        "2.4.1",
        "2.4.2",
        "2.4.3",
        "2.4.4",
        "2.5.0",
        "2.5.1",
        "2.5.2",
        "2.5.3",
        "2.6.0",
        "2.6.1",
        "2.6.2",
        "2.6.3",
        "2.6.4",
        "2.6.5",
        "2.7.0",
        "2.7.1",
        "2.7.2",
        "2.7.3",
        "2.7.4",
        "2.8.0",
        "2.8.1",
        "2.8.2",
        "2.8.3",
        "2.8.4",
        "2.9.0",
        "2.9.0rc0",
        "2.9.0rc1",
        "2.9.0rc2",
        "2.9.1",
        "2.9.2",
        "2.9.3"
      ]
    }
  ],
  "aliases": [
    "CVE-2023-25665",
    "GHSA-558h-mq8x-7q9g"
  ],
  "details": "### Impact\nWhen `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give an NPE. \n\n```python\nimport tensorflow as tf\ntf.raw_ops.SparseSparseMaximum(\n a_indices=[[1]],\n a_values =[ 0.1 ],\n a_shape = [2],\n b_indices=[[]],\n b_values =[2 ],\n b_shape = [2],\n)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04](https://github.com/tensorflow/tensorflow/commit/5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n\n### Attribution\nThis vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team",
  "id": "PYSEC-2026-3276",
  "modified": "2026-07-13T16:06:25.364696Z",
  "published": "2026-07-13T14:19:59.977627Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-558h-mq8x-7q9g"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25665"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/tensorflow-cpu"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-558h-mq8x-7q9g"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "TensorFlow has Null Pointer Error in SparseSparseMaximum"
}



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.


Detection rules are retrieved from Rulezet.


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.