CVE-2020-15213: Denial of service in tensorflow-lite
(updated )
In TensorFlow Lite models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/segment_sum.cc#L39-L44
References
- github.com/advisories/GHSA-hjmq-236j-8m87
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-293.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-328.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-136.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/lite/kernels/segment_sum.cc
- github.com/tensorflow/tensorflow/commit/00c7ed7ce81c2126ebc17dfe7073b5c0efd5ec0a
- github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a
- github.com/tensorflow/tensorflow/commit/a4030d8ba3692c438997c27be2dd95f3d5f54827
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1
- github.com/tensorflow/tensorflow/security/advisories/GHSA-hjmq-236j-8m87
- nvd.nist.gov/vuln/detail/CVE-2020-15213
Code Behaviors & Features
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