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CVE-2020-15198
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Date: September 25, 2020
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Language: C++
Severity Score
Related Resources (5)
Severity Score
Top Fix
CVSS v3.1
Base Score: |
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Attack Vector (AV): | NETWORK |
Attack Complexity (AC): | HIGH |
Privileges Required (PR): | NONE |
User Interaction (UI): | NONE |
Scope (S): | CHANGED |
Confidentiality (C): | LOW |
Integrity (I): | LOW |
Availability (A): | NONE |
CVSS v2
Base Score: |
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Access Vector (AV): | NETWORK |
Access Complexity (AC): | MEDIUM |
Authentication (AU): | NONE |
Confidentiality (C): | PARTIAL |
Integrity (I): | PARTIAL |
Availability (A): | NONE |
Additional information: |