CVE-2020-15206
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
EPSS 0.47% · 65.1th percentile
Risk Scores
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Bitnami | tensorflow | 2.1.0, 0, 2.0.0 |
| Bitnami | tensorflow | 0, 2.1.0, 2.2.0 |
Exploit Intelligence
Timeline
- Sep 25, 2020 CVE Published
- Apr 14, 2021 EPSS Score
- Jun 23, 2021 EPSS Score
- Aug 18, 2021 EPSS Score
- Oct 26, 2021 EPSS Score
- Dec 27, 2021 EPSS Score
- Jan 6, 2022 EPSS Score
- Feb 4, 2022 EPSS Score
- Apr 1, 2022 EPSS Score
- May 1, 2022 EPSS Score
- Jul 3, 2022 EPSS Score
- Sep 4, 2022 EPSS Score
References
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html url
- https://github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6 url
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 url
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g url
- https://nvd.nist.gov/vuln/detail/CVE-2020-15206 url