CVE-2018-7576 Null pointer dereference in TensorFlow leads to exploitation

What is CVE-2018-7576?

CVE-2018-7576 is a medium-severity vulnerability in Google Tensorflow, published on 23 Apr 2019. 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

Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference. The type of exploitation is: context-dependent.

Weakness: CWE-476

Which versions are affected by CVE-2018-7576?

7 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-2018-7576?

Upgrade tensorflow to a fixed version for your release line: 1.7.0rc0 or 1.6.0.

Is CVE-2018-7576 being exploited?

There is no known exploitation of CVE-2018-7576 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 GHSA-jfq2-rj7f-9gvf, PYSEC-2019-206, PYSEC-2019-224, PYSEC-2019-231.