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CVE-2021-29544
Good to know:
Date: May 14, 2021
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a "CHECK"-fail in "tf.raw_ops.QuantizeAndDequantizeV4Grad". This is because the implementation does not validate the rank of the "input_*" tensors. In turn, this results in the tensors being passes as they are to "QuantizeAndDequantizePerChannelGradientImpl". However, the "vec<T>" method, requires the rank to 1 and triggers a "CHECK" failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
Language: C++
Severity Score
Related Resources (10)
Severity Score
Weakness Type (CWE)
Improper Check for Unusual or Exceptional Conditions
CWE-754Top Fix
Upgrade Version
Upgrade to version tensorflow-cpu - 2.4.2;tensorflow - 2.4.2;tensorflow-gpu - 2.4.2;tensorflow-gpu - 2.2.0rc0
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | LOCAL |
| Attack Complexity (AC): | HIGH |
| Privileges Required (PR): | LOW |
| User Interaction (UI): | NONE |
| Scope (S): | UNCHANGED |
| Confidentiality (C): | NONE |
| Integrity (I): | NONE |
| Availability (A): | LOW |
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: |