Cyber Resilience of Railway Signaling Systems

Recently published information on the cybersecurity assessment of railway computer and communication-based control systems (CBCS) identified several weaknesses and vulnerabilities, which allow threat agents to not only degrade system reliability and bypass safety mechanisms, but to carry out attacks which directly affect the rail traffic safety. Despite these findings, remarkably these systems meet all relevant IT security and functional safety requirements and have the required international, national and industrial certificates.

HITB AISec slides and special release

Slides "AI for Security and Security for AI" talk by Sergey Gordeychik, as presented at HITB CyberWeek 2019, Abu Dhabi.



Machine learning technologies are turning from rocket science into daily engineering life. You no longer have to know the difference between Faster R-CNN and HMM to develop a machine vision system, and even OpenCV has bindings for JavaScript allowing to resolve quite serious tasks all the while remaining in front end. On other hand massive implementation of AI in various areas brings about problems, and security is one of the greatest concerns. In the broader context security is really all about trust.

Do we trust AI? I don’t, personally.

DICOM to passwd. On security of ML pipelines

Machine Learning and Artificial Intelligence Pipelines are very useful tools. They help to concentrate on specific task without digging into implementation details. However, from design and security perspective these things are like Frankenstein.

Here is  an example

Dangers of MLaaS

Dangers of MLaaS as present on Datafest Siberia by  @dnkolegov and Antoniy Nikolaev.

More details in the Measuring Artificial Intelligence and Machine Learning Implementation Security on the Internet writeup.


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Silverpeak SD-WAN +7 CVE

Fixed (?) published. Kudos SD-WAN New Hop team: Sergey Gordeychick, Denis Kolegov, Maxim Gorbunov, Nikolay Tkachenko, Nikita Oleksov, Oleg Broslavsky, Antony Nikolaev

AI Finger

Special release for XCON 2019 Beijing conference and “AI for Security or Security for AI” talk by Sergey Gordeychik.

Very first (and very draft) round of Machine Learning and Artificial Intelligence Frameworks and Applications Fingerprinting and Internet Census project.
Based on the Grinder framework.

SD-WAN Security Assessment: The First Hours

SD-WAN Security Assessment: The First Hours

Introduction

Suppose you need to perform a security assessment of an SD-WAN solution.
There are several reasons for this and one of them is selecting an SD-WAN provider or product.

A traditional SD-WAN system involves many planes, technologies, mechanisms, services, protocols and features.
It has distributed and multilayered architecture. So where should you start?

The main goal of this document is to list basic sanity checks that can be used when investigating SD-WAN.
We will consider general checks that can be applied to any SD-WAN system.