CVE-2020-15266
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.
Affected Packages
tensorflow-gpu (PYTHON):
Affected version(s) >=0.12.0rc0 <2.4.0Fix Suggestion:
Update to version 2.4.0tensorflow-cpu (PYTHON):
Affected version(s) >=0.0.0 <2.4.0Fix Suggestion:
Update to version 2.4.0tensorflow (PYTHON):
Affected version(s) >=0.11.0rc2 <2.4.0Fix Suggestion:
Update to version 2.4.0Related Resources (8)
Do you need more information?
Contact UsCVSS v4
Base Score:
6.3
Attack Vector
NETWORK
Attack Complexity
HIGH
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
LOW
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
3.7
Attack Vector
NETWORK
Attack Complexity
HIGH
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
LOW
CVSS v2
Base Score:
5
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
Weakness Type (CWE)
Improper Restriction of Operations within the Bounds of a Memory Buffer
EPSS
Base Score:
0.13
