CVE-2021-29591
14.05.2021, 20:15
TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be replaced by stack overflow due to too many recursive calls. For example, the `While` implementation(https://github.com/tensorflow/tensorflow/blob/106d8f4fb89335a2c52d7c895b7a7485465ca8d9/tensorflow/lite/kernels/while.cc) could be tricked into a scneario where both the body and the loop subgraphs are the same. Evaluating one of the subgraphs means calling the `Eval` function for the other and this quickly exhaust all stack space. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. Please consult our security guide(https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
Vendor | Product | Version |
---|---|---|
tensorflow | 𝑥 < 2.1.4 | |
tensorflow | 2.2.0 ≤ 𝑥 < 2.2.3 | |
tensorflow | 2.3.0 ≤ 𝑥 < 2.3.3 | |
tensorflow | 2.4.0 ≤ 𝑥 < 2.4.2 |
𝑥
= Vulnerable software versions
Common Weakness Enumeration
- CWE-835 - Loop with Unreachable Exit Condition ('Infinite Loop')The program contains an iteration or loop with an exit condition that cannot be reached, i.e., an infinite loop.
- CWE-674 - Uncontrolled RecursionThe product does not properly control the amount of recursion which takes place, consuming excessive resources, such as allocated memory or the program stack.
References