Out-of-bounds Read Affecting tensorflow/tensorflow package, versions [2.3.0,2.3.4)[2.4.0,2.4.3)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-UNMANAGED-TENSORFLOWTENSORFLOW-2333468
- published12 Jan 2022
- disclosed12 Aug 2021
- creditUnknown
Introduced: 12 Aug 2021
CVE-2021-37685 (opens in a new tab)How to fix?
Upgrade tensorflow/tensorflow to version 2.3.4, 2.4.3 or higher.
Overview
Affected versions of this package are vulnerable to Out-of-bounds Read. TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's expand_dims.cc contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If axis is a large negative value (e.g., -100000), then after the first if it would still be negative. The check following the if statement will pass and the for loop would read one element before the start of input_dims.data (when i = 0). We have patched the issue in GitHub commit d94ffe08a65400f898241c0374e9edc6fa8ed257. 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.