Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37669Crash in NMS ops caused by integer conversion to unsigned in TensorFlow
Medium 5.5
In plain English
A medium-severity security flaw 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 7% 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. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. 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-2021-291 |
| PyPI | tensorflow | 2.3.4 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow | 2.4.3 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow | 2.5.1 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-582 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-780 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-vmjw-c2vp-p33c |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-vmjw-c2vp-p33c |
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-681 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vmjw-c2vp-p33c x_refsource_CONFIRM
- https://github.com/tensorflow/tensorflow/commit/3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d x_refsource_MISC
- https://github.com/tensorflow/tensorflow/commit/b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58 x_refsource_MISC