CVE-2023-25667 TensorFlow vulnerable to segfault when opening multiframe gif

What is CVE-2023-25667?

CVE-2023-25667 is a medium-severity vulnerability in Google Tensorflow, published on 24 Mar 2023. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.

Official description

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when `2^31 <= num_frames * height * width * channels < 2^32`, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Weakness: CWE-190

Which versions are affected by CVE-2023-25667?

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-2023-25667?

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

Is CVE-2023-25667 being exploited?

There is no known exploitation of CVE-2023-25667 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-31198, AZL-35312, BIT-tensorflow-2023-25667, GHSA-fqm2-gh8w-gr68, PYSEC-2026-1961, PYSEC-2026-3176 and 1 more.