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Profile for ChrisNuttMandiant

ChrisNuttMandiant
Member Since: July 15, 2014
Author
Blog Posts: 1
Posts: 1

Chris Nutt is the Director of Incident Response and Malware of Mandiant. He has nine years of experience in enterprise incident response, working with the federal government, defense industrial base, and Fortune 100 companies. He has extensive experience in incident response, computer forensics, and remediation planning. He has led high-visibility investigations into the theft of intellectual property as well as the theft of payment card industry information and regularly assists organizations in developing remediation strategies designed to remove sophisticated attackers from client networks. He teaches computer incident response to the public and private sectors and is responsible for development and delivery of technical content in the incident response training courses he teaches. In these courses, he instructs students how to collect and analyze information, and how to manage investigations. Prior to joining Mandiant, Chris conducted computer incident response for the US Marine Corps. During his time there, he advanced the Marine Corps incident response capability by developing processes and tools utilized during intrusion investigations across the worldwide deployment of Marine networks and communities of interest. In this capacity, he was the incident response duty expert and responsible for coordinating efforts with Joint Task Force Global Network Operations, service-level Computer Emergency Response Teams, and Naval Criminal Investigative Service. He has experience supervising and leading forensic analysts and incident responders, as well as software development teams.



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CVE-2020-15208
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can ...
CVE-2020-15209
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one....
CVE-2020-15210
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and ...
CVE-2020-15211
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices f...
CVE-2020-15212
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `outpu...