GHSA-r4c4-5fpq-56wg

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GHSA-r4c4-5fpq-56wg

Summary: Heap OOB in boosted trees

Details: ### Impact An attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `BoostedTreesSparseCalculateBestFeatureSplit`: ```python import tensorflow as tf tf.raw_ops.BoostedTreesSparseCalculateBestFeatureSplit( node_id_range=[0,10], stats_summary_indices=[[1, 2, 3, 0x1000000]], stats_summary_values=[1.0], stats_summary_shape=[1,1,1,1], l1=l2=[1.0], tree_complexity=[0.5], min_node_weight=[1.0], logits_dimension=3, split_type='inequality') ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) needs to validate that each value in `stats_summary_indices` is in range. ### Patches We have patched the issue in GitHub commit [e84c975313e8e8e38bb2ea118196369c45c51378](https://github.com/tensorflow/tensorflow/commit/e84c975313e8e8e38bb2ea118196369c45c51378). 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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4c4-5fpq-56wg, https://nvd.nist.gov/vuln/detail/CVE-2021-37664, https://github.com/tensorflow/tensorflow/commit/e84c975313e8e8e38bb2ea118196369c45c51378, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-577.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-775.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-286.yaml, https://github.com/tensorflow/tensorflow