GHSA-mhhc-q96p-mfm9 Infinite loop in TFLite

• PyPI tensorflow: >= 2.6.0rc0, < 2.6.0rc2 → fixed in 2.6.0rc2 • PyPI tensorflow-cpu: >= 2.6.0rc0, < 2.6.0rc2 → fixed in 2.6.0rc2 • PyPI tensorflow-gpu: >= 2.6.0rc0, < 2.6.0rc2 → fixed in 2.6.0rc2

Impact The strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for ellipsis in axis definition: ```cc for (int i = 0; i params->ellipsis_mask) { // ... int ellipsis_end_idx = std::min(i + 1 + num_add_axis + op_context->input_dims - begin_count, effective_dims); // ... for (; i < ellipsis_end_idx; ++i) { // ... } continue; } // ... ++i; } ``` An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. Patches We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. The fix will be included in TensorFlow 2.6.0. This is the only affected version. For more information Please consult our security guide 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.