CVE-2018-21233 Out-of-bounds read in TensorFlow possibly causing disclosure of the contents of process memory.

What is CVE-2018-21233?

CVE-2018-21233 is a medium-severity vulnerability in Google Tensorflow, published on 4 May 2020. 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 before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decode_bmp_op.cc.

Weakness: CWE-125

Which versions are affected by CVE-2018-21233?

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-2018-21233?

Upgrade tensorflow to 1.7.0 or later.

Is CVE-2018-21233 being exploited?

There is no known exploitation of CVE-2018-21233 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-h98h-8mxr-m8gx, PYSEC-2020-253, PYSEC-2020-269, PYSEC-2020-304.