CVE-2020-15206
25.09.2020, 19:15
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.Enginsight
Vendor | Product | Version |
---|---|---|
tensorflow | 𝑥 < 1.15.4 | |
tensorflow | 2.0.0 ≤ 𝑥 < 2.0.3 | |
tensorflow | 2.1.0 ≤ 𝑥 < 2.1.2 | |
tensorflow | 2.2.0 ≤ 𝑥 < 2.2.1 | |
tensorflow | 2.3.0 ≤ 𝑥 < 2.3.1 | |
opensuse | leap | 15.2 |
𝑥
= Vulnerable software versions
Common Weakness Enumeration
References