CVE-2023-25676 TensorFlow has null dereference on ParallelConcat with XLA

What is CVE-2023-25676?

CVE-2023-25676 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 machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.ParallelConcat` segfaults with a nullptr dereference when given a parameter `shape` with rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.

Weakness: CWE-476

Which versions are affected by CVE-2023-25676?

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-2023-25676?

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

Is CVE-2023-25676 being exploited?

There is no known exploitation of CVE-2023-25676 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-31203, AZL-35321, BIT-tensorflow-2023-25676, GHSA-6wfh-89q8-44jq, PYSEC-2026-3123, PYSEC-2026-3287 and 1 more.