CVE-2020-15210
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.
- Affected products
- Suse, Tensorflow
- Google Tensorflow
- < 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
- Fix
- Available
- CVSS 3.1
- 6.5 MEDIUM
- EPSS
- 0.7% (51th percentile)
- Weakness
- CWE-787, CWE-20
- NVD status
- Modified
- Published
- 2020-09-25
CVE-2020-15210 at NVD
No indexed exploits for CVE-2020-15210 yet
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No exploit for CVE-2020-15210 has been indexed yet. Our index is built from live traffic and upstream syncs, so this page can only say what it knows — not that no exploit exists.