CVE-2021-29604: Division by zero in TFLite's implementation of hashtable lookup
First published: Fri May 14 2021(Updated: )
### Impact The TFLite implementation of hashtable lookup is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115): ```cc const int num_rows = SizeOfDimension(value, 0); const int row_bytes = value->bytes / num_rows; ``` An attacker can craft a model such that `values`'s first dimension would be 0. ### Patches We have patched the issue in GitHub commit [5117e0851348065ed59c991562c0ec80d9193db2](https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2). 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. ### For more information 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. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
Credit: security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| pip/tensorflow-gpu | >=2.4.0<2.4.2 | 2.4.2 |
| pip/tensorflow-gpu | >=2.3.0<2.3.3 | 2.3.3 |
| pip/tensorflow-gpu | >=2.2.0<2.2.3 | 2.2.3 |
| pip/tensorflow-gpu | <2.1.4 | 2.1.4 |
| pip/tensorflow-cpu | >=2.4.0<2.4.2 | 2.4.2 |
| pip/tensorflow-cpu | >=2.3.0<2.3.3 | 2.3.3 |
| pip/tensorflow-cpu | >=2.2.0<2.2.3 | 2.2.3 |
| pip/tensorflow-cpu | <2.1.4 | 2.1.4 |
| pip/tensorflow | >=2.4.0<2.4.2 | 2.4.2 |
| pip/tensorflow | >=2.3.0<2.3.3 | 2.3.3 |
| pip/tensorflow | >=2.2.0<2.2.3 | 2.2.3 |
| pip/tensorflow | <2.1.4 | 2.1.4 |
| TensorFlow Keras | <2.1.4 | |
| TensorFlow Keras | >=2.2.0<2.2.3 | |
| TensorFlow Keras | >=2.3.0<2.3.3 | |
| TensorFlow Keras | >=2.4.0<2.4.2 |
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Reference Links
- https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r
- https://nvd.nist.gov/vuln/detail/CVE-2021-29604
- https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115
- https://github.com/advisories/GHSA-8rm6-75mf-7r7r (Advisory)
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-532.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-730.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-241.yaml
Frequently Asked Questions
What is the severity of CVE-2021-29604?
CVE-2021-29604 is classified as a high-severity vulnerability due to its potential to cause a division by zero error.
How do I fix CVE-2021-29604?
To resolve CVE-2021-29604, update to TensorFlow version 2.4.2 or later, or install fixed versions provided for TensorFlow packages.
Which TensorFlow versions are affected by CVE-2021-29604?
CVE-2021-29604 affects TensorFlow versions prior to 2.1.4, between 2.2.0 and 2.2.3, between 2.3.0 and 2.3.3, and between 2.4.0 and 2.4.2.
What type of vulnerability is CVE-2021-29604?
CVE-2021-29604 is a programming vulnerability that leads to a division by zero error in the TFLite implementation of hashtable lookup.
Is CVE-2021-29604 a remote code execution vulnerability?
CVE-2021-29604 does not involve remote code execution but may result in application crashes and instability.
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