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.
Published 2021-05-14 20:15:16
Updated 2022-10-25 20:07:10
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory Corruption

Products affected by CVE-2021-29610

Exploit prediction scoring system (EPSS) score for CVE-2021-29610

0.04%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 5 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-29610

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.6
MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
NIST
7.8
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
1.8
5.9
NIST
3.6
LOW CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:L
1.0
2.5
GitHub, Inc.

CWE ids for CVE-2021-29610

  • The product does not initialize or incorrectly initializes a resource, which might leave the resource in an unexpected state when it is accessed or used.
    Assigned by: security-advisories@github.com (Secondary)
  • The product writes data past the end, or before the beginning, of the intended buffer.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2021-29610

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