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CVE-2020-15201
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Date: September 25, 2020
In Tensorflow before version 2.3.1, the "RaggedCountSparseOutput" implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the "splits" tensor generate a valid partitioning of the "values" tensor. Hence, the code is prone to heap buffer overflow. If "split_values" does not end with a value at least "num_values" then the "while" loop condition will trigger a read outside of the bounds of "split_values" once "batch_idx" grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Language: C++
Severity Score
Related Resources (9)
Severity Score
Weakness Type (CWE)
Top Fix
Upgrade Version
Upgrade to version tensorflow - 2.3.1;tensorflow - 2.3.1;tensorflow-cpu - 2.3.1;tensorflow-gpu - 2.3.1;tensorflow-gpu - 2.3.1
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): | LOW |
| Integrity (I): | LOW |
| Availability (A): | NONE |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | NETWORK |
| Access Complexity (AC): | MEDIUM |
| Authentication (AU): | NONE |
| Confidentiality (C): | PARTIAL |
| Integrity (I): | PARTIAL |
| Availability (A): | PARTIAL |
| Additional information: |