malware▌
24 indexed skills · max 10 per page
malware-analyst
sickn33/antigravity-awesome-skills · Productivity
file sample.exe sha256sum sample.exe
detecting-rootkit-activity
mukul975/Anthropic-Cybersecurity-Skills · detecting-rootkit-activity
Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity checking techniques. Activates for requests involving rootkit detection, hidden process discovery, kernel integrity checking, or system call hook analysis.
analyzing-ransomware-encryption-mechanisms
mukul975/Anthropic-Cybersecurity-Skills · analyzing-ransomware-encryption-mechanisms
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware cryptanalysis, encryption analysis, key recovery assessment, or ransomware decryption feasibility.
performing-dynamic-analysis-with-any-run
mukul975/Anthropic-Cybersecurity-Skills · performing-dynamic-analysis-with-any-run
Performs interactive dynamic malware analysis using the ANY.RUN cloud sandbox to observe real-time execution behavior, interact with malware prompts, and capture process trees, network traffic, and system changes. Activates for requests involving interactive sandbox analysis, cloud-based malware detonation, real-time behavioral observation, or ANY.RUN usage.
analyzing-linux-elf-malware
mukul975/Anthropic-Cybersecurity-Skills · analyzing-linux-elf-malware
Analyzes malicious Linux ELF (Executable and Linkable Format) binaries including botnets, cryptominers, ransomware, and rootkits targeting Linux servers, containers, and cloud infrastructure. Covers static analysis, dynamic tracing, and reverse engineering of x86_64 and ARM ELF samples. Activates for requests involving Linux malware analysis, ELF binary investigation, Linux server compromise assessment, or container malware analysis.
detecting-process-injection-techniques
mukul975/Anthropic-Cybersecurity-Skills · detecting-process-injection-techniques
Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis to identify injection artifacts. Activates for requests involving process injection detection, code injection analysis, hollowed process investigation, or in-memory threat detection.
analyzing-malware-behavior-with-cuckoo-sandbox
mukul975/Anthropic-Cybersecurity-Skills · analyzing-malware-behavior-with-cuckoo-sandbox
Executes malware samples in Cuckoo Sandbox to observe runtime behavior including process creation, file system modifications, registry changes, network communications, and API calls. Generates comprehensive behavioral reports for malware classification and IOC extraction. Activates for requests involving dynamic malware analysis, sandbox detonation, behavioral analysis, or automated malware execution.
analyzing-bootkit-and-rootkit-samples
mukul975/Anthropic-Cybersecurity-Skills · analyzing-bootkit-and-rootkit-samples
Analyzes bootkit and advanced rootkit malware that infects the Master Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware to gain persistence below the operating system. Covers boot sector analysis, UEFI module inspection, and anti-rootkit detection techniques. Activates for requests involving bootkit analysis, MBR malware investigation, UEFI persistence analysis, or pre-OS malware detection.
detecting-fileless-malware-techniques
mukul975/Anthropic-Cybersecurity-Skills · detecting-fileless-malware-techniques
Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. Activates for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.
analyzing-network-traffic-of-malware
mukul975/Anthropic-Cybersecurity-Skills · analyzing-network-traffic-of-malware
Analyzes network traffic generated by malware during sandbox execution or live incident response to identify C2 protocols, data exfiltration channels, payload downloads, and lateral movement patterns using Wireshark, Zeek, and Suricata. Activates for requests involving malware network analysis, C2 traffic decoding, malware PCAP analysis, or network-based malware detection.