TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.AvgPool3DGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/d80ffba9702dc19d1fac74fc4b766b3fa1ee976b/tensorflow/core/kernels/pooling_ops_3d.cc#L376-L450) assumes that the `orig_input_shape` and `grad` tensors have similar first and last dimensions but does not check that this assumption is validated. 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 20:15:14
Updated 2021-05-20 15:36:53
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: OverflowMemory Corruption

Products affected by CVE-2021-29577

Exploit prediction scoring system (EPSS) score for CVE-2021-29577

0.01%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 1 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-29577

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
2.5
LOW CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
1.0
1.4
GitHub, Inc.

CWE ids for CVE-2021-29577

  • The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.
    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-2021-29577

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