Vulnerabilities
Projects
Vulnerability Disclosure
About Us
Contact Us
Mend.io Vulnerability Database
What is a WS vulnerability ID?
What is an MSC vulnerability ID?
We found results for “”
CVE-2022-29210
Good to know:
Date: May 20, 2022
TensorFlow is an open source platform for machine learning. In version 2.8.0, the "TensorKey" hash function used total estimated "AllocatedBytes()", which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. "int32_t"). It also tried to access individual tensor bytes through "tensor.data()" of size "AllocatedBytes()". This led to ASAN failures because the "AllocatedBytes()" is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the ".data()" buffer. The discoverers could not use this byte vector anyway because types such as "tstring" include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.
Language: Python
Severity Score
Related Resources (8)
Severity Score
Weakness Type (CWE)
Top Fix
Upgrade Version
Upgrade to version tensorflow-cpu - 2.8.1;tensorflow - 2.8.1;tensorflow-gpu - 2.8.1
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | LOCAL |
| Attack Complexity (AC): | LOW |
| Privileges Required (PR): | LOW |
| User Interaction (UI): | NONE |
| Scope (S): | UNCHANGED |
| Confidentiality (C): | NONE |
| Integrity (I): | NONE |
| Availability (A): | HIGH |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | LOCAL |
| Access Complexity (AC): | LOW |
| Authentication (AU): | NONE |
| Confidentiality (C): | NONE |
| Integrity (I): | NONE |
| Availability (A): | PARTIAL |
| Additional information: |