CVE-2023-33976 TensorFlow segfault in array_ops.upper_bound

What is CVE-2023-33976?

CVE-2023-33976 is a high-severity vulnerability in Google Tensorflow, published on 30 Jul 2024. An attacker can exploit it over the internet without logging in, with no action from the victim.

Official description

TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.

Weakness: CWE-190

Which versions are affected by CVE-2023-33976?

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-2023-33976?

Upgrade tensorflow to 2.12.1 or later.

Is CVE-2023-33976 being exploited?

There is no known exploitation of CVE-2023-33976 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-47242, BIT-tensorflow-2023-33976, GHSA-gjh7-xx4r-x345, PYSEC-2026-1962, PYSEC-2026-3190, PYSEC-2026-3331.