CVE-2022-23593 Segfault in `simplifyBroadcast` in Tensorflow

What is CVE-2022-23593?

CVE-2022-23593 is a medium-severity denial of service vulnerability in Google Tensorflow, published on 4 Feb 2022. 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 Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.

Weakness: CWE-754

Which versions are affected by CVE-2022-23593?

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-2022-23593?

Upgrade tensorflow to 2.8.0 or later.

Upgrade, then put limits on request size, rate and nesting depth so one client cannot exhaust the service. More about Denial of service.

Is CVE-2022-23593 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2022-23593 exists.

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 BIT-tensorflow-2022-23593, GHSA-gwcx-jrx4-92w2, PYSEC-2022-102, PYSEC-2022-157, PYSEC-2026-3193.