CVE-2021-29591

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.

How to fix CVE-2021-29591

To remediate CVE-2021-29591, upgrade the affected package to a fixed version below.

• —upgrade to 2.1.4 or later
• —upgrade to 2.1.4 or later
• —upgrade to 9c1dc920d8ffb4893d6c9d27d1f039607b326743 or later
• —upgrade to 9c1dc920d8ffb4893d6c9d27d1f039607b326743 or later
• —upgrade to 2.1.4 or later
• —upgrade to 9c1dc920d8ffb4893d6c9d27d1f039607b326743 or later
• —upgrade to 2.1.4 or later

Is CVE-2021-29591 being exploited?

Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

• from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 2.1.4
• from 0, < 9c1dc920d8ffb4893d6c9d27d1f039607b326743, < c6173f5fe66cdbab74f4f869311fe6aae2ba35f4 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 9c1dc920d8ffb4893d6c9d27d1f039607b326743, < c6173f5fe66cdbab74f4f869311fe6aae2ba35f4 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 2.1.4
• from 0, < 9c1dc920d8ffb4893d6c9d27d1f039607b326743, < c6173f5fe66cdbab74f4f869311fe6aae2ba35f4 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 2.1.4

CVSS scores

References (9)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-29591
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-519.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-717.yaml