Safety vulnerability ID: 42442
The information on this page was manually curated by our Cybersecurity Intelligence Team.
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Latest version: 2.20.0
TensorFlow is an open source machine learning framework for everyone.
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TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. See CVE-2021-41195.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cq76-mxrc-vchh
MISC:https://github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429: https://github.com/tensorflow/tensorflow/commit/e9c81c1e1a9cd8dd31f4e83676cab61b60658429
MISC:https://github.com/tensorflow/tensorflow/issues/46888: https://github.com/tensorflow/tensorflow/issues/46888
MISC:https://github.com/tensorflow/tensorflow/pull/51733: https://github.com/tensorflow/tensorflow/pull/51733
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