Out-of-bounds read in TensorFlow - CVE-2020-15265
Published: October 21, 2020 / Updated: May 4, 2026
Vulnerability identifier: #VU129383
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-2020-15265
CWE-ID: CWE-125
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 an out-of-bounds read in tf.quantization.quantize_and_dequantize when processing an invalid axis value. A remote attacker can pass a specially crafted axis value to cause a denial of service.
In normal builds, the dimension check is compiled out, which can lead to a segmentation fault.
Remediation
Install security update from vendor's website.