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CVE-2020-15266
CVE information
Published
Last Modified
CVSSv2.0 Severity
CVSSv3.1 Severity
Impact Analysis
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..
CVSSv2.0 Score
- Severity
- Medium
- Base Score
- 5/10
- Exploit Score
- 10/10
- Access Vector
- Network
- Access Complexity
- Low
- Authentication Required
- None
- Impact Score
- 2.9/10
- Confidentiality Impact
- None
- Availability Impact
- Partial
- Integrity Impact
- None
CVSSv3.1 Score
- Severity
- High
- Base Score
- 7.5/10
- Exploit Score
- 3.9/10
- Access Vector
- Network
- Access Complexity
- Low
- Privileges Required
- None
- Impact Score
- 3.6/10
- Confidentiality Impact
- None
- Availability Impact
- High
- Integrity Impact
- None
- Scope
- Unchanged
- User Interaction
- None
Products Affected
CPE | Affected | Vulnerable | Excluding | Edit |
---|---|---|---|---|
cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:* |
Yes
|
- | 2.4.0 |