What’s Vulnerable › Vulnerabilities

CVE-2020-15265: Segfault in Tensorflow

• Severity: high (CVSS 7.5 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 0.9% probability of exploitation in the next 30 days
• Public exploit or detection template: yes
• Published: 2020-10-21 · updated 2026-06-17
• Weakness: CWE-125

Description

In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

Affected products

• tensorflow: before 2.4.0 — fixed in 2.4.0

How to fix

Upgrade to a fixed version: tensorflow 2.4.0. Check the vendor advisory for mitigations.

References

• https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808
• https://github.com/tensorflow/tensorflow/issues/42105
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c
• https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808
• https://github.com/tensorflow/tensorflow/issues/42105
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c

Get alerted when CVE-2020-15265 or the next vulnerability affects your stack