Vulnerability in Google Tensorflow
CVE-2021-37691
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
EPSS: 0.002 (4.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 5.5 (Medium). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
Affected products
- Google Tensorflow — versions 2.5.0, 2.6.0
- Tensorflow — versions >= 2.5.0, < 2.5.1, >= 2.4.0, < 2.4.3, < 2.3.4
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2021-37691?
- CVE-2021-37691 is a medium-severity vulnerability in Google Tensorflow, classified under Divide By Zero. CVSS score: 5.5/10. Published 2021-08-12.
- How severe is CVE-2021-37691?
- Medium severity. CVSS v3 base score is 5.5 out of 10.