Results for “malware”

13 skills
More results
mukul975
Performing Static Malware Analysis With Pe Studio
Performs static analysis of Windows PE malware samples using PEStudio to examine file headers, imports, strings, resources, and indicators without executing the binary.
24.6k · bundle
mukul975
Analyzing Malware Sandbox Evasion Techniques
Detect sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction detection, and sleep inflation patterns from Cuckoo/AnyRun behavioral reports.
24.6k · bundle
mukul975
Analyzing Macro Malware In Office Documents
Extracts and analyzes malicious VBA macros, XLM macros, DDE, and remote template injections in Microsoft Office documents using olevba, oledump, and deobfuscation techniques to identify download cradles, payload execution, and persistence mechanisms.
24.6k · bundle
mukul975
Hunting For Defense Evasion Via Timestomping
Detect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION vs $FILE_NAME timestamps in the MFT using analyzeMFT and Python.
24.6k · bundle
mukul975
Performing Memory Forensics With Volatility3 Plugins
Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.
24.6k · bundle
zhaoxuya520
Competition Pcap Protocol
Analyze PCAP files by reconstructing TCP/UDP sessions, decoding application-layer protocols, and correlating packet sequences with host or malware behavior for CTF challenges.
12.8k · bundle
mukul975
Performing Network Forensics With Wireshark
Capture and analyze network traffic using Wireshark and tshark to reconstruct network events, extract artifacts, and identify malicious communications.
24.6k · bundle
mukul975
Analyzing Windows Prefetch With Python
Parse Windows Prefetch files using the windowsprefetch Python library to reconstruct application execution history, detect renamed or masquerading binaries, and identify suspicious program execution patterns.
24.6k · bundle