TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow by passing crafted inputs to `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L171-L185) fails to consider corner cases where input would be split in such a way that the generated tokens should only contain padding elements. If input is such that `num_tokens` is 0, then, for `data_start_index=0` (when left padding is present), the marked line would result in reading `data[-1]`. 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.
History

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cve-icon MITRE Information

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-05-14T19:11:17

Updated: 2021-05-14T19:11:16

Reserved: 2021-03-30T00:00:00


Link: CVE-2021-29542

JSON object: View

cve-icon NVD Information

Status : Analyzed

Published: 2021-05-14T20:15:12.537

Modified: 2022-04-25T20:03:53.697


Link: CVE-2021-29542

JSON object: View

cve-icon Redhat Information

No data.