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CVE-2020-15265
CVE information
Published
Last Modified
CVSSv2.0 Severity
CVSSv3.1 Severity
Impact Analysis
Description
In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. 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 |