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Vulnerability CVE-2020-15210
Published: 2020-09-25
| Description: |
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. |
Type:
CWE-20 (Improper Input Validation)
CVSS2 => (AV:N/AC:M/Au:N/C:N/I:P/A:P)
| CVSS Base Score |
Impact Subscore |
Exploitability Subscore |
5.8/10 |
4.9/10 |
8.6/10 |
| Exploit range |
Attack complexity |
Authentication |
Remote |
Medium |
No required |
| Confidentiality impact |
Integrity impact |
Availability impact |
None |
Partial |
Partial |
References: |
https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2
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