CVE-2021-29610

TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Configurations

Configuration 1 (hide)

OR cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*

History

25 Oct 2022, 20:07

Type Values Removed Values Added
CWE CWE-665 CWE-787

17 May 2021, 18:55

Type Values Removed Values Added
CPE cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
References (MISC) https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9 - (MISC) https://github.com/tensorflow/tensorflow/commit/c5b0d5f8ac19888e46ca14b0e27562e7fbbee9a9 - Patch, Third Party Advisory
References (CONFIRM) https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h - (CONFIRM) https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h - Exploit, Patch, Third Party Advisory
CVSS v2 : unknown
v3 : unknown
v2 : 4.6
v3 : 7.8

14 May 2021, 20:56

Type Values Removed Values Added
CWE CWE-665

14 May 2021, 20:15

Type Values Removed Values Added
New CVE

Information

Published : 2021-05-14 20:15

Updated : 2023-12-10 13:55


NVD link : CVE-2021-29610

Mitre link : CVE-2021-29610

CVE.ORG link : CVE-2021-29610


JSON object : View

Products Affected

google

  • tensorflow
CWE
CWE-787

Out-of-bounds Write

CWE-665

Improper Initialization