CVEvulnerability

CVE-2022-23585

6.5 MEDIUM Published 2022-02-04 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2022-02-04
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
4.3 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
CVSS 3.1 ([email protected])
6.5 MEDIUM — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
4.0 MEDIUM — AV:N/AC:L/Au:S/C:N/I:N/A:P
Weaknesses
CWE-401

Description

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.

Affected configurations

• google tensorflow (<= 2.5.2) • google tensorflow (>= 2.6.0 <= 2.6.2) • google tensorflow 2.7.0

Related

Weakness · CWE (1)

  • CWE-401 Missing Release of Memory after Effective Lifetime weakness

References