CVE-2021-37648: Incorrect validation of `SaveV2` inputs in TensorFlow
First published: Thu Aug 12 2021(Updated: )
### Impact The code for `tf.raw_ops.SaveV2` does not properly validate the inputs and an attacker can trigger a null pointer dereference: ```python import tensorflow as tf tf.raw_ops.SaveV2( prefix=['tensorflow'], tensor_name=['v'], shape_and_slices=[], tensors=[1,2,3]) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/save_restore_v2_ops.cc) uses `ValidateInputs` to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses `OP_REQUIRES` which translates to setting the `Status` object of the current `OpKernelContext` to an error status, followed by an empty `return` statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in `Compute` that follows the call to `ValidateInputs`. This is equivalent to lacking the validation. ### Patches We have patched the issue in GitHub commit [9728c60e136912a12d99ca56e106b7cce7af5986](https://github.com/tensorflow/tensorflow/commit/9728c60e136912a12d99ca56e106b7cce7af5986). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 | =2.5.0 | 2.5.1 |
| pip/tensorflow-gpu | >=2.4.0<2.4.3 | 2.4.3 |
| pip/tensorflow-gpu | <2.3.4 | 2.3.4 |
| pip/tensorflow-cpu | =2.5.0 | 2.5.1 |
| pip/tensorflow-cpu | >=2.4.0<2.4.3 | 2.4.3 |
| pip/tensorflow-cpu | <2.3.4 | 2.3.4 |
| pip/tensorflow | =2.5.0 | 2.5.1 |
| pip/tensorflow | >=2.4.0<2.4.3 | 2.4.3 |
| pip/tensorflow | <2.3.4 | 2.3.4 |
| TensorFlow Keras | >=2.3.0<2.3.4 | |
| TensorFlow Keras | >=2.4.0<2.4.3 | |
| TensorFlow Keras | =2.5.0 | |
| TensorFlow Keras | =2.6.0-rc0 | |
| TensorFlow Keras | =2.6.0-rc1 | |
| TensorFlow Keras | =2.6.0-rc2 |
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Reference Links
- https://github.com/tensorflow/tensorflow/commit/9728c60e136912a12d99ca56e106b7cce7af5986
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wp77-4gmm-7cq8
- https://nvd.nist.gov/vuln/detail/CVE-2021-37648
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-561.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-759.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-270.yaml
- https://github.com/advisories/GHSA-wp77-4gmm-7cq8 (Advisory)
Frequently Asked Questions
What is the severity of CVE-2021-37648?
CVE-2021-37648 is classified as a high severity vulnerability due to its potential to trigger null pointer dereferences.
How do I fix CVE-2021-37648?
To fix CVE-2021-37648, upgrade TensorFlow to version 2.5.1 or later.
Which versions of TensorFlow are affected by CVE-2021-37648?
CVE-2021-37648 affects TensorFlow versions 2.3.0 through 2.3.4, 2.4.0 through 2.4.3, and all pre-release versions of 2.6.0.
What causes CVE-2021-37648?
CVE-2021-37648 is caused by improper input validation in the 'tf.raw_ops.SaveV2' function.
Is CVE-2021-37648 specific to a certain deployment environment?
CVE-2021-37648 is not specific to a deployment environment; it affects any system using the vulnerable versions of TensorFlow.
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