> 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
> Data Science Platform
esDynamic is a complete data focused platform to leverage the know-how of your team for complex analyses.
> esFirmware Engine
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.
> Cybersecurity Training
Grow your expertise with training modules driven by a coach.
> Hardware Evaluation Lab
High-end laboratory capabilities specialized in hardware security evaluations.
> Mobile App Security
Know the threats and risks of your Mobile App.
Integrate the security protections verification in your CI/CD pipeline.
> PCI MPoC
Prepare your product to meet this new mobile payment standard.
> Mobile App Security Testing (MAST)
esChecker SaaS: automating the security testing of your mobile app binary.
> 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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> Meet our experts
> Open positions
Join our team!
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.
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.