Vulnerability Monitor

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CVE-2022-23585

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Published

2022-02-04T23:15:14.923

Last Modified

2024-11-21T06:48:52.190

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 4.3 (MEDIUM)

CVSSv2 Vector

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

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

8.0

Impact Score

2.9

Weaknesses
  • Type: Primary
    CWE-401
Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application google tensorflow ≤ 2.5.2 Yes
Application google tensorflow ≤ 2.6.2 Yes
Application google tensorflow 2.7.0 Yes
References