CVE-2021-29579: Heap buffer overflow in `MaxPoolGrad`
First published: Fri May 14 2021(Updated: )
### Impact The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow: ```python import tensorflow as tf orig_input = tf.constant([0.0], shape=[1, 1, 1, 1], dtype=tf.float32) orig_output = tf.constant([0.0], shape=[1, 1, 1, 1], dtype=tf.float32) grad = tf.constant([], shape=[0, 0, 0, 0], dtype=tf.float32) ksize = [1, 1, 1, 1] strides = [1, 1, 1, 1] padding = "SAME" tf.raw_ops.MaxPoolGrad( orig_input=orig_input, orig_output=orig_output, grad=grad, ksize=ksize, strides=strides, padding=padding, explicit_paddings=[]) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid: ```cc for (int index = out_start; index < out_end; ++index) { int input_backprop_index = out_arg_max_flat(index); FastBoundsCheck(input_backprop_index - in_start, in_end - in_start); input_backprop_flat(input_backprop_index) += out_backprop_flat(index); } ``` Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. ### Patches We have patched the issue in GitHub commit [a74768f8e4efbda4def9f16ee7e13cf3922ac5f7](https://github.com/tensorflow/tensorflow/commit/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7). 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 Ying Wang and Yakun Zhang of Baidu X-Team.
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/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79fv-9865-4qcv
- https://nvd.nist.gov/vuln/detail/CVE-2021-29579
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-507.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-705.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-216.yaml
- https://github.com/advisories/GHSA-79fv-9865-4qcv (Advisory)
Frequently Asked Questions
What is the severity of CVE-2021-29579?
CVE-2021-29579 is rated as a high-severity vulnerability due to the potential for heap buffer overflow.
How do I fix CVE-2021-29579?
To fix CVE-2021-29579, update to TensorFlow version 2.4.2 or later, or use compatible versions that address this vulnerability.
Which versions of TensorFlow are affected by CVE-2021-29579?
CVE-2021-29579 affects TensorFlow versions prior to 2.1.4, versions 2.2.0 to 2.2.3, 2.3.0 to 2.3.3, and 2.4.0 to 2.4.2.
What type of vulnerability is CVE-2021-29579?
CVE-2021-29579 is a heap buffer overflow vulnerability that can lead to undefined behavior and security risks.
Can CVE-2021-29579 be exploited remotely?
Yes, CVE-2021-29579 may allow remote code execution if exploited in a suitable environment.
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