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CVE-2020-15196
Good to know:
Date: September 25, 2020
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. 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
CVSS v3.1
Base Score: |
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Attack Vector (AV): | NETWORK |
Attack Complexity (AC): | HIGH |
Privileges Required (PR): | LOW |
User Interaction (UI): | NONE |
Scope (S): | CHANGED |
Confidentiality (C): | HIGH |
Integrity (I): | HIGH |
Availability (A): | HIGH |
CVSS v2
Base Score: |
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---|---|
Access Vector (AV): | NETWORK |
Access Complexity (AC): | LOW |
Authentication (AU): | SINGLE |
Confidentiality (C): | PARTIAL |
Integrity (I): | PARTIAL |
Availability (A): | PARTIAL |
Additional information: |