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> Side Channel Analysis
Ready-to-use side channel tools to assess cryptography algorithms.
> Fault Injection: Laser, EM & Glitching
Make sure your chip withstands different techniques of physical fault injections.
> Firmware Security Analysis
Qualify embedded code binaries without physical devices and benches.
> Security Failure Analysis
Photoemission analysis to explore internal information in a chip.
> Vulnerability Research
Dynamic analyses at a system level for investigating potential vulnerabilities.
> esDynamic for EDU SCA and FI
A learning center for academics to teach and perform side-channel analysis and fault injection
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> Data Science Platform
esDynamic is a complete data focused platform to leverage the know-how of your team for complex analyses.
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Assess the security of the firmware of IoT devices against logical and physical attacks.
> esReven Engine
Record and replay vulnerability researches within reverse engineering processes and tools.
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Grow your expertise with training modules driven by a coach.
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High-end laboratory capabilities specialized in hardware security evaluations.
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Onboard your Team into your Security Challenges.
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Integrate the security protections verification in your CI/CD pipeline.
> PCI MPoC
Prepare your product to meet this new mobile payment standard.
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> Mobile App Security Testing (MAST)
esChecker SaaS: automating the security testing of your mobile app binary.
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> Mobile App Penetration Testing
Testing the resiliency of your Mobile App, SDK or RASP tool.
> Backend Penetration Testing
Testing the resiliency of your Web App, API or Backend Systems.
> Coaching for Mobile App Developers
Providing insights into the mobile app threats and how attackers work by a learning-by-doing approach.
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Before starting - Python for Side-Channel crash course
Python is today the preferred language for Data Science. Python open-source libraries for data science, statistics and machine learning make it a great language to perform efficient Side-Channel analysis. During this crash course, you will quickly get up to speed with Python, focusing on the language features and libraries useful to perform side-channel analysis.
Covered Topics
- Introduction to Python programming language
- Most important Python features for side-channel
- Most important Python libraries for side-channel
- Python optimizations for efficient side-channel
Exercises
- Manipulate multi-dimensional arrays with numpy
- Perform most common statistical operations on traces data
- Implement your own analysis object
- Use Scared Python APIs to pilot a side-channel analysis
Requirements
- Basic knowledge in programming
Practical information
Overall duration: 1-day if in-person / flexible duration if online.
Schedule: 9am-1pm - 2-6 pm CET (in-person)
Number of trainees: 1 max.
