Heap-based buffer overflow in TensorFlow - CVE-2021-37651
Published: August 12, 2021 / Updated: May 4, 2026
Vulnerability identifier: #VU129255
CSH Severity: Medium
CVSSv4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/U:Green
CVE-ID: CVE-2021-37651
CWE-ID: CWE-122
Exploitation vector: Remote access
Exploit availability:
No public exploit available
Vulnerable software:
TensorFlow
TensorFlow
Software vendor:
TensorFlow
TensorFlow
Description
The vulnerability allows a remote attacker to cause a denial of service.
The vulnerability exists due to a heap-based buffer overflow in the FractionalAvgPoolGrad implementation when processing crafted input to tf.raw_ops.FractionalAvgPoolGrad. A remote attacker can supply a specially crafted input tensor shape and pooling sequences to cause a denial of service.
The issue is triggered because the implementation does not validate that the input tensor is non-empty before constructing and accessing an empty EigenDoubleMatrixMap.
Remediation
Install security update from vendor's website.