CVE-2023-25669 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

What is CVE-2023-25669?

CVE-2023-25669 is a high-severity denial of service vulnerability in Google Tensorflow, published on 24 Mar 2023. An attacker can exploit it over the internet without logging in, with no action from the victim.

Official description

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Weakness: CWE-697

Which versions are affected by CVE-2023-25669?

10 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 1 product.

Products include Google Tensorflow.

How do I fix CVE-2023-25669?

Upgrade tensorflow to a fixed version for your release line: 2.12.0 or 2.11.1.

Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.

Is CVE-2023-25669 being exploited?

There is no known exploitation of CVE-2023-25669 in the wild and no public exploit code.

Other vulnerabilities in Google Tensorflow

• CVE-2023-25668 TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation Critical 9.8
• CVE-2018-7575 Integer Overflow or Wraparound in Google TensorFlow Critical 9.8
• CVE-2021-37678 Arbitrary code execution due to YAML deserialization Critical 9.3
• CVE-2021-35958 Path traversal in n/a Critical 9.1
• CVE-2020-15202 Integer truncation in Shard API usage Critical 9.0

All Google Tensorflow vulnerabilities

Sources

• CVE record
• NVD
• OSV
• GitHub advisory
• How this page is made

Also known as AZL-31207, AZL-35314, BIT-tensorflow-2023-25669, GHSA-rcf8-g8jv-vg6p, PYSEC-2026-1964, PYSEC-2026-3236 and 1 more.