'forensics' 검색 결과

Recover deleted files from disk images and storage media using PhotoRec's file signature-based carving engine regardless of file system damage.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when diagnosing or fixing user-reported application bugs. Guides evidence-backed root-cause analysis from symptoms, screenshots, logs, provider failures, background tasks, storage, or desktop lifecycle behavior through a scoped patch and regression tests.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Perform forensic analysis of the macOS Unified Logging System (ULS) to investigate system events, application crashes, kernel panics, and potential indicators of compromise (IoCs) such as persistence mechanisms or unauthorized access.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze and detect synthetic media, including deepfake videos, AI-generated images, and cloned voice audio. Use this skill when investigating potential disinformation campaigns, verifying the authenticity of digital evidence, or assessing social engineering attacks leveraging synthetic media (e.g., vishing with voice clones, spear-phishing with deepfake video calls). Covers artifact analysis, frequency detection, metadata tracing, and automated detection tools.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Carves injected PE images and position-independent shellcode from a memory dump or carved region, identifies the payload type, and prepares it for disassembly or emulation. Activates for requests to recover injected code, carve shellcode from memory, or reconstruct a dumped payload for analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Collects volatile evidence from a potentially compromised host in correct order of volatility: memory, network state, running processes, logged-on users, and open handles, while preserving integrity and minimizing footprint. Activates for requests to collect volatile evidence, perform live response, or capture host state before shutdown.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects process injection in a memory image by identifying private executable regions with no file backing, RWX protections, and modified entry points using Volatility 3 malfind-style analysis. Activates for requests to detect process injection, find injected code in memory, or triage suspicious executable regions in a memory image.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Summarizes cybersecurity breach incidents into structured legal and compliance records. Trigger when synthesizing incident reports, forensics, logs, or notifications into a defensible chronology, scope-impact analysis, response ledger, or regulatory-risk assessment. Keywords: data breach, incident response, unauthorized access, ransomware, exfiltration, GDPR, CCPA, HIPAA.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Select established CTF and security-research tools for authorized artifact triage, web inspection, reversing, crypto, forensics, networking, and exploit validation. Use when a user provides a CTF-style tool catalog, asks which tools to use, or needs safe usage instructions for common offensive/security tools.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when reverse engineering binaries, firmware, mobile apps, JavaScript/Electron apps, .NET assemblies, network protocols, or malware samples; when decompiling, deobfuscating, unpacking, debugging, or hooking shipped artifacts; when solving CTF challenges (pwn, crypto, forensics, web); when a conclusion needs evidence from a shipped artifact rather than available source; or when coordinating authorized security assessments. Analysis-first and consent-gated — all active work requires written authorization and an approved scope. Do not use for ordinary review of source code you already have.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detect lateral movement in network traffic using Zeek (formerly Bro) log analysis. Parses conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, kerberos.log, and ntlm.log to identify SMB file transfers, NTLM account spray activity, remote service execution, and anomalous internal connections.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects command-and-control (C2) communications tunneled through DNS protocol including DNS tunneling tools (Iodine, dnscat2, dns2tcp, Cobalt Strike DNS beacon), domain generation algorithms (DGA), encoded payload delivery via TXT/CNAME records, and DNS beaconing patterns. Covers Shannon entropy analysis of query subdomains, statistical anomaly detection, ML-based DGA classification, passive DNS correlation, and Zeek/Suricata signature development. Activates for requests involving DNS-based C2 detection, DNS tunnel identification, suspicious DNS traffic investigation, or DGA domain classification.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects AI-generated deepfake audio used in voice phishing (vishing) attacks by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with machine learning models. Supports batch analysis of audio files, generates confidence scores, and produces forensic reports. Activates for requests involving deepfake voice detection, vishing investigation, AI-generated speech analysis, voice cloning detection, or audio authenticity verification.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data for attack chain reconstruction and investigation documentation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate log2timeline and Plaso super-timelines and triage them in Timesketch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Parse Windows LNK shortcut files to extract target paths, timestamps, volume information, and machine identifiers for forensic timeline reconstruction.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detect and analyze covert communication channels used by malware including DNS tunneling, ICMP exfiltration, steganographic HTTP, and protocol abuse for C2 and data exfiltration.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Parse Windows Prefetch files to determine program execution history including run counts, timestamps, and referenced files for forensic investigation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Identify ransomware network indicators including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange via Zeek conn.log and NetFlow analysis

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detect PowerShell Empire framework artifacts in Windows event logs by identifying Base64 encoded launcher patterns, default user agents, staging URL structures, stager IOCs, and known Empire module signatures in Script Block Logging events.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Parse Windows PowerShell Script Block Logs (Event ID 4104) from EVTX files to detect obfuscated commands, encoded payloads, and living-off-the-land techniques. Uses python-evtx to extract and reconstruct multi-block scripts, applies entropy analysis and pattern matching for Base64-encoded commands, Invoke-Expression abuse, download cradles, and AMSI bypass attempts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.