High severity · published May 14, 2021
CVE-2021-29578
TensorFlow is an end-to-end open source platform for machine learning
7.8
CVSS
0.2%
EPSS
No
On KEV
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalAvgPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/dcba796a28364d6d7f003f6fe733d82726dda713/tensorflow/core/kernels/fractional_avg_pool_op.cc#L216) fails to validate that the pooling sequence arguments have enough elements as required by the `out_backprop` tensor shape. 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.
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack vector
Local
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
High
Integrity
High
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.2% · higher than 11% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
before 2.1.4; 2.2.0 before 2.2.3; 2.3.0 before 2.3.3; 2.4.0 before 2.4.2 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2021-29578
CVE.org
https://www.cve.org/CVERecord?id=CVE-2021-29578
Patch
https://github.com/tensorflow/tensorflow/commit/12c727cee857fa19be717f336943d95fca4ffe4f
Exploit
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6f89-8j54-29xf
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