CVE-2020-15198
Last modified
CVE-2020-15198 is a medium-severity vulnerability rated 5.4/10 on the CVSS scale. 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. EPSS estimates a 0.54% chance of exploitation in the next 30 days.
Description
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.
Metrics
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | >= 2.3.0, < 2.3.1 |
References
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3Exploit, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3Exploit, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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