lever
Detection Researcher (Coding Focused)
Zimperium
Remote, GBR
Full-time
Mid
Remote
Discovered 2 weeks ago
LLVMIDA ProGhidraPythonCC++
Free
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LLVMIDA ProGhidra
Key Skills for This Role
LLVMIDA ProGhidraPythonCC++
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- Research and analyze advanced detection bypass techniques (e.g., rooting, hooking, and runtime application/system tampering) to assess threats to our detection systems.
- Evaluate and reverse-engineer tools and frameworks used to attack or evade our products, documenting findings and attack vectors.
- Lead and participate in structured brainstorming sessions to generate novel detection ideas and countermeasures.
- Help design, prototype, and implement new detection techniques and algorithms for different operating systems.
- Help develop, maintain, and improve internal tooling and automation to accelerate analysis, triage, and detection development.
- Perform and contribute to internal penetration testing and adversary emulation of newly introduced security features to validate effectiveness.
- Conduct thorough code reviews and technical reviews of detection-related contributions to ensure quality, maintainability, and correctness.
- Proven ability to collaborate effectively within a team environment, including forming and leading focused sub-groups to deliver specific project features or research objectives.
- Proficiency in reverse engineering using tools such as IDA Pro, Ghidra, or equivalent, including experience writing scripts, leveraging their SDKs, and isolating and reporting technical issues.
- Solid programming experience in C, C++, Python and Java, with the ability to produce efficient, maintainable, and secure code.
- Good knowledge of the ELF and MachO file formats and a general good understanding on how to consult the official documentation.
- Familiarity with the LLVM framework is considered a plus.
- Knowledge of code obfuscation and de-obfuscation techniques, along with awareness of community tools and methodologies in this area, is a valuable asset.
About Zimperium
Software & SaaS287 employeesFounded 2010
AI-powered mobile security software company protecting enterprise mobile devices and applications from cyber threats.
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