CVE-2022-41901 `CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow

2022-11-1800:00:00

CWE-20

GitHub_M

www.cve.org

tensorflow

machine learning

input validation

github

patch

commit

cherrypick

vulnerability

fix

supported versions

CVSS3

4.8

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

EPSS

0.001

Percentile

42.0%

JSON

TensorFlow is an open source platform for machine learning. An input sparse_matrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.raw_ops.SparseMatrixNNZ. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

CNA Affected

[
  {
    "vendor": "tensorflow",
    "product": "tensorflow",
    "versions": [
      {
        "version": ">= 2.10.0, < 2.10.1",
        "status": "affected"
      },
      {
        "version": ">= 2.9.0, < 2.9.3",
        "status": "affected"
      },
      {
        "version": "< 2.8.4",
        "status": "affected"
      }
    ]
  }
]