Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29532Heap out of bounds read in `RaggedCross`
Low 2.5
In plain English
A low-severity out-of-bounds read 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 10% 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 force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to `tf.raw_ops.RaggedCross`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efea03b38fb8d3b81762237dc85e579cc5fc6e87/tensorflow/core/kernels/ragged_cross_op.cc#L456-L487) lacks validation for the user supplied arguments. Each of the above branches call a helper function after accessing array elements via a `*_list[next_*]` pattern, followed by incrementing the `next_*` index. However, as there is no validation that the `next_*` values are in the valid range for the corresponding `*_list` arrays, this results in heap OOB reads. 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-j47f-4232-hvv8 |
| PyPI | tensorflow | 2.4.2 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow | 2.1.4 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-169 |
| PyPI | tensorflow | 2.2.3 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-cpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-460 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-j47f-4232-hvv8 |
| PyPI | tensorflow-gpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-658 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-j47f-4232-hvv8 |
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-125 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L