Malware Analysis Researcher

12 - 16 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: You will join the cybersecurity research team at C3iHub, IIT Kanpur as a Malware Analysis Researcher. Your role will involve conducting static and dynamic analysis of malware samples, automating analysis tasks, maintaining sandbox environments, analyzing packed and obfuscated malware, curating malware datasets, and contributing to open-source tools. Additionally, you will be responsible for conducting source code analysis, authoring technical documentation, publishing research articles, and collaborating with internal teams on threat research and PoC development. Key Responsibilities: - Perform static and dynamic analysis of malware samples across formats (PE, PDF, ELF, APK). - Automate analysis tasks using Python, Bash, or other scripting tools. - Set up and maintain sandbox environments (e.g., Cuckoo Sandbox) for behavior monitoring. - Analyze packed, encrypted, or obfuscated malware using reverse engineering techniques. - Utilize and contribute to open-source tools (e.g., YARA, Volatility, Ghidra, Radare2). - Curate and label malware datasets for use in machine learning pipelines. - Conduct source code analysis using SAST and DAST tools. - Author technical documentation and publish research articles in the field. - Collaborate with internal teams on threat research, detection model tuning, and PoC development. - Travel (within India) occasionally for project-related meetings, demonstrations, or coordination. Qualification Required: - Masters degree in Computer Science, Information Security, or related field - 2 years of hands-on experience in malware analysis or reverse engineering - Proficiency in scripting (e.g., Python, Bash) and familiarity with threat analysis tools - Strong understanding of malware behavior, file formats, and analysis techniques. Additional Details: - Travel across the country may be required for project execution and monitoring as well as for coordination with geographically distributed teams.,

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