Vulnerability Monitor

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CVE-2022-29202


TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.


Published

2022-05-20T23:15:44.470

Last Modified

2024-11-21T06:58:42.247

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.5 (MEDIUM)

CVSSv2 Vector

AV:L/AC:L/Au:N/C:N/I:N/A:P

  • Access Vector: LOCAL
  • Access Complexity: LOW
  • Authentication: NONE
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: PARTIAL
Exploitability Score

3.9

Impact Score

2.9

Weaknesses
  • Type: Secondary
    CWE-20
    CWE-400
  • Type: Primary
    CWE-1284

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow < 2.6.4 Yes
Application google tensorflow < 2.7.2 Yes
Application google tensorflow 2.7.0 Yes
Application google tensorflow 2.7.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.8.0 Yes
Application google tensorflow 2.9.0 Yes
Application google tensorflow 2.9.0 Yes

References