Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29569Heap out of bounds read in `RequantizationRange`
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. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) assumes that the `input_min` and `input_max` tensors have at least one element, as it accesses the first element in two arrays. If the tensors are empty, `.flat<T>()` is an empty object, backed by an empty array. Hence, accesing even the 0th element is a read outside the bounds. 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-3h8m-483j-7xxm |
| PyPI | tensorflow | 2.4.2 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow | 2.1.4 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-206 |
| PyPI | tensorflow | 2.2.3 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-497 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-3h8m-483j-7xxm |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-695 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-3h8m-483j-7xxm |
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