Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29533CHECK-fail in DrawBoundingBoxes
Low 2.5
In plain English
A low-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 12% 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. An attacker can trigger a denial of service via a `CHECK` failure by passing an empty image to `tf.raw_ops.DrawBoundingBoxes`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/ea34a18dc3f5c8d80a40ccca1404f343b5d55f91/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L148-L165) uses `CHECK_*` assertions instead of `OP_REQUIRES` to validate user controlled inputs. Whereas `OP_REQUIRES` allows returning an error condition back to the user, the `CHECK_*` macros result in a crash if the condition is false, similar to `assert`. In this case, `height` is 0 from the `images` input. This results in `max_box_row_clamp` being negative and the assertion being falsified, followed by aborting program execution. 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow | 2.4.2 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow | 2.1.4 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-170 |
| PyPI | tensorflow | 2.2.3 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-cpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-461 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-393f-2jr3-cp69 |
| PyPI | tensorflow-gpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-659 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-393f-2jr3-cp69 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-754 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L