Vulnerability Details : CVE-2021-29570

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. 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 2021-05-18 19:32:08
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-29570

Probability of exploitation activity in the next 30 days: 0.04%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 10 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2021-29570

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Source
3.6
 LOW AV:L/AC:L/Au:N/C:P/I:N/A:P
3.9
4.9
 nvd@nist.gov
7.1
 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
1.8
5.2
 nvd@nist.gov
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
 security-advisories@github.com

CWE ids for CVE-2021-29570

  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-29570

Products affected by CVE-2021-29570

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