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-2333403
- published12 Jan 2022
- disclosed12 Aug 2021
- creditUnknown
Introduced: 12 Aug 2021
CVE-2021-37672 (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 an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.SdcaOptimizerV2. The implementation does not check that the length of example_labels is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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.