CVE-2023-25670 TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize

What is CVE-2023-25670?

CVE-2023-25670 is a high-severity 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. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Weakness: CWE-476

Which versions are affected by CVE-2023-25670?

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-2023-25670?

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

Is CVE-2023-25670 being exploited?

There is no known exploitation of CVE-2023-25670 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-31214, AZL-35315, BIT-tensorflow-2023-25670, GHSA-49rq-hwc3-x77w, PYSEC-2026-1955, PYSEC-2026-3098 and 1 more.