CVE-2023-25658 TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

What is CVE-2023-25658?

CVE-2023-25658 is a high-severity memory corruption 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, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.

Weakness: CWE-125

Which versions are affected by CVE-2023-25658?

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-2023-25658?

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

Upgrade to the fixed version. Memory-safe languages, compiler hardening and fuzzing prevent most new cases. More about Memory corruption.

Is CVE-2023-25658 being exploited?

There is no known exploitation of CVE-2023-25658 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-31199, AZL-35304, BIT-tensorflow-2023-25658, GHSA-68v3-g9cm-rmm6, PYSEC-2026-3120, PYSEC-2026-3286 and 1 more.