We are looking for a Cyber Researcher.
The fraud research team is a hybrid team of cyber research and data science, both working together in researching, detecting and preventing all schemes of online ad fraud like fraud botnets, ad injectors, spoofed traffic and other schemes.
As a cyber researcher you will lead the research and detection of new ad fraud mechanisms across web, mobile apps and CTVs. Work with the team to build the systems to detect and block them at huge scales.
we are a leader in the Ad Fraud Detection space, as a researcher on the team you will be a world expert in the field.
Responsibilities:
Analyze and reverse engineer mobile and web apps that are suspected of ad fraud
Develop and improve our mobile and CTV labs with focus on automatic ad fraud detection
Become an expert on ad fraud bots
Stay on top of new web, mobile and CTV technologies and assess their impact on our tech
The fraud research team is a hybrid team of cyber research and data science, both working together in researching, detecting and preventing all schemes of online ad fraud like fraud botnets, ad injectors, spoofed traffic and other schemes.
As a cyber researcher you will lead the research and detection of new ad fraud mechanisms across web, mobile apps and CTVs. Work with the team to build the systems to detect and block them at huge scales.
we are a leader in the Ad Fraud Detection space, as a researcher on the team you will be a world expert in the field.
Responsibilities:
Analyze and reverse engineer mobile and web apps that are suspected of ad fraud
Develop and improve our mobile and CTV labs with focus on automatic ad fraud detection
Become an expert on ad fraud bots
Stay on top of new web, mobile and CTV technologies and assess their impact on our tech
Requirements:
At least 2 years of penetration testing or reverse engineering of web and mobile apps
Good understanding of Android, iOS, web technologies and networking protocols
Solid knowledge of Python, JavaScript and Java (for Android)
Previous experience with dynamic analysis (Frida – hooking framework) to detect malicious behavior is a strong advantage
Data analysis skills (mostly SQL) is a strong advantage
Previous experience with online advertising technologies is an advantage
Bsc in Computer Science (or equivalent) is an advantage
At least 2 years of penetration testing or reverse engineering of web and mobile apps
Good understanding of Android, iOS, web technologies and networking protocols
Solid knowledge of Python, JavaScript and Java (for Android)
Previous experience with dynamic analysis (Frida – hooking framework) to detect malicious behavior is a strong advantage
Data analysis skills (mostly SQL) is a strong advantage
Previous experience with online advertising technologies is an advantage
Bsc in Computer Science (or equivalent) is an advantage
This position is open to all candidates.
