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CVE-2021-29554
Good to know:
Date: May 14, 2021
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in "tf.raw_ops.DenseCountSparseOutput". This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since "data" is given by the "values" argument, "num_batch_elements" is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.
Language: Python
Severity Score
Related Resources (8)
Severity Score
Weakness Type (CWE)
Divide By Zero
CWE-369Top Fix
Upgrade Version
Upgrade to version tensorflow-cpu - 2.3.3;tensorflow-cpu - 2.4.2;tensorflow-cpu - 2.1.4;tensorflow-gpu - 2.3.3;tensorflow-gpu - 2.4.2;tensorflow-gpu - 2.1.4;tensorflow - 2.3.3;tensorflow - 2.4.2
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: |