5th Meetup – Automating Malware Analysis
In this presentation, Monnappa explained the concept of automated malware analysis, sandbox and sandbox architecture. Presentation: Video Demo:
In this presentation, Monnappa explained the concept of automated malware analysis, sandbox and sandbox architecture. Presentation: Video Demo:
In this presentation, Monnappa explained the concept of malware analysis. Presentation: Video Demo:
In this presentation, Archita explained the dll preloading attack. Presentation:
In this presentation, Sreelakshmy and Mythily discussed about the partial homomorphic encryption and its applications. Presentation:
In this awesome presentation, Monnappa explained the concept of Rootkits, types of Rootkits, Memory Forensics. He demonstrated various stealth techniques used by the TDSS Rootkit and showed how to identify its presence and understand its capabilities and various functionality using memory forensics. Presentation: Video Demo:
In this awesome presentation, Amit Malik discussed about the importance of return address in solving some of the problems related to analysis and detection of the malicious codes. Presentation:
In this awesome presentation, Raghav Pande explained the concept of public protections and showed how public exploit mitigation toolkits are not enough to protect from a targeted attack as well as how easy it is to evade all public protections. Presentation:
In this awesome presentation, Subrat Sarkar explained the concepts of Windows logon mechanism, Windows Logon architecture, Windows credential provider and showed how an attacker can take advantage of credential provider to steal Windows password in plain text and how to find and mitigate this issue. Presentation:
In this awesome presentation, Monnappa KA explained the details of Ghost RAT malware used in various Cyber Espionage attacks. He showcased the sandbox analysis, traffic pattern and decrypting the communications of Ghost RAT from packet capture. He also demonstrated both manual and automated method of detecting and decrypting the communications of Ghost RAT using memory […]
In this awesome presentation, Satyam Saxena explained the concept of detecting malicious urls using machine learning.The presentation mainly focused on using various infrastructure based features of an url, to design a machine learning system which can automatically predict the probability of its maliciousness. Presentation: