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CVE-2020-15266
Good to know:
Date: October 21, 2020
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.
Language: C
Severity Score
Related Resources (9)
Severity Score
Weakness Type (CWE)
Improper Restriction of Operations within the Bounds of a Memory Buffer
CWE-119Top Fix
Upgrade Version
Upgrade to version tensorflow - 2.4.0;tensorflow-gpu - 2.4.0;tensorflow-cpu - 2.4.0
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | NETWORK |
| Attack Complexity (AC): | HIGH |
| Privileges Required (PR): | NONE |
| User Interaction (UI): | NONE |
| Scope (S): | UNCHANGED |
| Confidentiality (C): | NONE |
| Integrity (I): | NONE |
| Availability (A): | LOW |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | NETWORK |
| Access Complexity (AC): | LOW |
| Authentication (AU): | NONE |
| Confidentiality (C): | NONE |
| Integrity (I): | NONE |
| Availability (A): | PARTIAL |
| Additional information: |