CVE-2020-15266lowCWE-119

CVE-2020-15266: low-severity vulnerability in tensorflow

Undefined behavior in Tensorflow

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8Vexday Risk Score

No sign of exploitation. No public exploitation artifact known so far.

ssvc Trackcvss 3.7epss 0.9%
In short

TensorFlow's image cropping function crashes when given extremely large box coordinates due to improper handling of invalid floating-point values. This can cause the application to stop working unexpectedly.

Technical detail

The `tf.image.crop_and_resize` function's CPU kernel does not properly validate the `boxes` argument, allowing very large values to be interpreted as NaN floating-point values. Subsequent operations on these invalid values trigger undefined behavior, resulting in a segmentation fault that crashes the process.

Summary generated and translated by AI from the official description.
In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
Affected products
tensorflow · tensorflow
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