CVE-2021-29559
Heap OOB access in unicode ops
Impact
### Impact An attacker can access data outside of bounds of heap allocated array in `tf.raw_ops.UnicodeEncode`: ```python import tensorflow as tf input_values = tf.constant([58], shape=[1], dtype=tf.int32) input_splits = tf.constant([[81, 101, 0]], shape=[3], dtype=tf.int32) output_encoding = "UTF-8" tf.raw_ops.UnicodeEncode( input_values=input_values, input_splits=input_splits, output_encoding=output_encoding) ``` This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/472c1f12ad9063405737679d4f6bd43094e1d36d/tensorflow/core/kernels/unicode_ops.cc) assumes that the `input_value`/`input_splits` pair specify a valid sparse tensor. ### Patches We have patched the issue in GitHub commit [51300ba1cc2f487aefec6e6631fef03b0e08b298](https://github.com/tensorflow/tensorflow/commit/51300ba1cc2f487aefec6e6631fef03b0e08b298). 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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | tensorflow | < 2.1.4 | 2.1.4 |
| pip | tensorflow-cpu | < 2.1.4 | 2.1.4 |
| pip | tensorflow-gpu | < 2.1.4 | 2.1.4 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | before 2.1.4 from 2.2.0 before 2.2.3 from 2.3.0 before 2.3.3 from 2.4.0 before 2.4.2 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/tensorflow/tensorflow/commit/51300ba1cc2f487aefec6e6631fef03b0e08b298
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-59q2-x2qc-4c97
- https://github.com/advisories/GHSA-59q2-x2qc-4c97
- https://nvd.nist.gov/vuln/detail/CVE-2021-29559
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-487.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-685.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-196.yaml