Vulnerability CVE-2020-15196


Published: 2020-09-25

Description:
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.

Type:

CWE-119

(Improper Restriction of Operations within the Bounds of a Memory Buffer)

CVSS2 => (AV:N/AC:L/Au:S/C:P/I:P/A:P)

CVSS Base Score
Impact Subscore
Exploitability Subscore
6.5/10
6.4/10
8/10
Exploit range
Attack complexity
Authentication
Remote
Low
Single time
Confidentiality impact
Integrity impact
Availability impact
Partial
Partial
Partial
Affected software
Tensorflow -> Tensorflow 

 References:
https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph

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