Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37638Null pointer dereference in `RaggedTensorToTensor` in TensorFlow
High 7.7
In plain English
A high-severity null pointer dereference in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 6% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an end-to-end open source platform for machine learning. Sending invalid argument for `row_partition_types` of `tf.raw_ops.RaggedTensorToTensor` API results in a null pointer dereference and undefined behavior. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L328) accesses the first element of a user supplied list of values without validating that the provided list is not empty. We have patched the issue in GitHub commit 301ae88b331d37a2a16159b65b255f4f9eb39314. 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-260 |
| PyPI | tensorflow | 2.3.4 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow | 2.4.3 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow | 2.5.1 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-551 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-749 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-hwr7-8gxx-fj5p |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-hwr7-8gxx-fj5p |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4 |
Weakness: CWE-476 · Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H