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Dark Reading: Connecting The Information Security Community

Long one of the most widely-read cyber security news sites on the Web, Dark Reading is now the most trusted online community for security professionals like you. Our community members include thought-leading security researchers, CISOs, and technology specialists, along with thousands of other security professionals. We want you to join us.

This is where enterprise security staffers and decision-makers come to learn about new cyber threats, vulnerabilities, and technology trends. It's where they discuss potential defenses against the latest attacks, and key technologies and practices that may help protect their most sensitive data in the future. It's where they come to engage with one another and with Dark Reading editors to embrace new (and big) ideas, find answers to their IT security questions and solve their most pressing problems.

Dark Reading.com encompasses 13 communities, each of which drills deeper into the enterprise security challenge: Analytics, Attacks & Breaches, Application Security, Careers and People, Cloud Security, Endpoint,  IoT, Mobile, Operations, Perimeter, Risk, Threat Intelligence, and Vulnerabilities and Threats. Each community is led by editors and subject matter experts who collaborate with security researchers, technology specialists, industry analysts and other Dark Reading members to provide timely, accurate and informative articles that lead to spirited discussions.

Our goal is to challenge community members to think about security by providing strong, even unconventional points of view, backed by hard-nosed reporting, hands-on experience and the professional knowledge that comes only with years of work in the information security industry.

We want you to be part of this community. Please join us on live chats, story discussions, polls, radio shows, reader-generated discussion boards, newsletters and other interactive features -- all for free. We'll also invite you to live events where we can continue these conversations face-to-face.

Simply register here – it's free – to join the conversation and fully benefit from all the features on this site. If you're interested in participating further, contact our editors – we're always on the lookout for industry thought leaders who'd like to offer their perspectives on IT security and its role in business.

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Title Name/Email Phone
Editor In Chief Tim Wilson 703-262-0680
Executive Editor Kelly Jackson Higgins 434-960-9899
Senior Editor Sara Peters 212-600-3266
Senior Editor Curtis Franklin, Jr. 352 331 1311
Managing Editor Marilyn Cohodas 978-590-5248
Staff Editor Kelly Sheridan  

Contributing Writers

Contributing Writer Ericka Chickowski  
Contributing Writer Jai Vijayan
 
Contributing Writer Steve Zurier   

 

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Aneil Rakity, Managing Director
J'Amy Stewart, Managing Director

 

COVID-19: Latest Security News & Commentary
Dark Reading Staff 9/25/2020
Hacking Yourself: Marie Moe and Pacemaker Security
Gary McGraw Ph.D., Co-founder Berryville Institute of Machine Learning,  9/21/2020
Startup Aims to Map and Track All the IT and Security Things
Kelly Jackson Higgins, Executive Editor at Dark Reading,  9/22/2020
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Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
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...