Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29591Stack overflow due to looping TFLite subgraph
High 7.3
In plain English
A high-severity infinite loop in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 18% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow | 2.4.2 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow | 2.1.4 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-228 |
| PyPI | tensorflow | 2.2.3 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-519 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-cwv3-863g-39vx |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-717 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-cwv3-863g-39vx |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-835 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cwv3-863g-39vx x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/9c1dc920d8ffb4893d6c9d27d1f039607b326743 x_refsource_MISC
- https://github.com/tensorflow/tensorflow/commit/c6173f5fe66cdbab74f4f869311fe6aae2ba35f4 x_refsource_MISC