'dfir' 검색 결과

Build a shared incident timeline in Timesketch from endpoint, server, and cloud logs. Search events, add tags and investigator notes, reconstruct the attack sequence, and organize findings into a story for incident reporting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing the sequence of an incident
• Reviewing evidence with multiple analysts
• Combining Plaso output and other logs

Reconstruct Windows folder browsing activity from Shellbag registry records using SBECmd and ShellBags Explorer. Investigate traces of deleted directories, disconnected USB drives, and network shares while accounting for limits in what the records and timestamps show.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing a user's folder browsing history
• Investigating browsing traces on disconnected USB drives
• Checking access traces for deleted folders

Analyze Windows Amcache records to investigate applications, deleted executable traces, and drivers. Extract file details, compare SHA-1 hashes with malware databases, and combine records into a timeline to support incident investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating traces of deleted executables
• Checking software installed during an incident
• Comparing file hashes with malware databases

Build an evidence-backed incident timeline in a CTF sandbox by correlating logs, network captures, and other artifacts. Trace attacker actions across sources, distinguish confirmed events from inferred gaps, and preserve the sequence that supports the conclusion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine logs and network captures into an incident timeline
• Trace attacker actions from initial access to persistence
• Separate confirmed event order from inferred gaps

Collect evidence from a compromised computer before shutdown or remediation erases it. Preserve memory, network connections, processes, and system state, then record integrity hashes and handling history to support incident investigation and evidence tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving evidence before shutting down a compromised computer
• Collecting memory evidence for suspected fileless malware
• Recording active connections and processes during an intrusion

Reconstruct activity on a compromised computer by combining file timestamps, event logs, browser history, and other evidence into one timeline. Extract and filter events with Plaso, then review and annotate them collaboratively in Timesketch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstructing the sequence of a computer compromise
• Comparing events across logs and file records
• Investigating timestamp changes and cleared logs

Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Retrieve climate-related disaster records, including floods, cyclones, droughts, and heatwaves. Check affected countries, severity, status, and population figures, then consult climate anomalies and related news for broader context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check ongoing floods and cyclones
• Review disaster severity and affected populations
• Explore climate anomalies and related news

Analyze binaries, malware samples, memory dumps, and packet captures in sandboxed security challenges. Trace program behavior, investigate crashes, and verify exploit conditions while preserving original files, decoded artifacts, and observable evidence for reproducible findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reverse engineer a binary’s structure and behavior
• Unpack a malware sample and separate its components
• Investigate crashes and verify exploit conditions

Organize CTF investigations by mapping the supplied targets, tracing one minimal path, and selecting the relevant specialist workflow. Findings are grounded in observed behavior and reproducible evidence, with a clean baseline used for verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an analysis path for a CTF challenge
• Tracing a minimal path through challenge infrastructure
• Packaging reproducible evidence for a solution

Find WMI event subscriptions that let attackers retain access to Windows systems. Correlate Sysmon events with stored subscriptions and Autoruns results, inspect execution triggers and commands, and document risks and recommended remediation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triaging Sysmon alerts for events 19, 20, and 21
• Finding WMI persistence during incident response
• Distinguishing suspicious subscriptions from legitimate settings

Guide malware cleanup on infected Windows and Linux systems after containment and investigation. Covers removing malicious files and mechanisms that preserve attacker access, rotating credentials, patching entry points, and documenting validation results before recovery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning infected systems after containment
• Removing mechanisms that preserve attacker access
• Rotating compromised credentials and fixing entry points

Analyze RAM dumps with Volatility 3 to investigate suspicious processes, network connections, injected code, and credential theft. Guides memory capture and evidence extraction, then organizes findings into a forensic report for incident response.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating malware that runs only in memory
• Checking suspicious processes and network connections
• Investigating signs of credential theft

Analyze Windows Registry files to uncover user activity, installed software, USB connections, and automatic startup entries. Organize these traces into investigation summaries and timelines to help examine suspicious activity and possible malware persistence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious automatic startup entries
• Reconstructing user activity around an incident
• Checking USB device connection traces

Examine Windows shortcut files to recover target paths, timestamps, drive identifiers, and machine details. Organize these traces into an investigation timeline covering local documents, USB devices, network shares, and suspicious startup shortcuts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reconstruct document access history from Windows shortcuts
• Trace references to files on USB devices
• Investigate access to network shares

Inspect suspicious PDFs without opening them in a document viewer. Use peepdf, pdfid, and pdf-parser to examine internal objects, extract embedded code and files, and report threat indicators such as URLs and hashes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triaging suspicious PDF email attachments
• Investigating PDF exploit documents
• Extracting embedded JavaScript and files

Analyze NTFS file records and change journals to investigate deleted files on Windows disks. Recover surviving metadata and content where possible, reconstruct file activity timelines, and compare timestamps for signs of deliberate manipulation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering names and paths of deleted files
• Assessing whether deleted file content can be recovered
• Reconstructing file creation, modification, and deletion timelines

Build the effects of a fire skill as one visual language in Three.js. Flames that read as fire, not as orange fog or cones: ray-marched flame volumes whose turbulence rises with buoyancy (slow at the root, accelerating and stretching as it climbs) instead of scrolling, a temperature ramp from a white-hot core a little above the fuel through yellow and orange to deep red tips, broad brighter licks inside, walls of fire broken into clumps of separate tongues of very different heights with notches between them and licks that detach and go out, a fire whirl wound in helical sheets with a waist and a blue root; charcoal smoke drawn premultiplied over the frame and lit only by the fire (cauliflower billows for a burst, a thin streaked curtain off a grass-fire front, fibrous wisps off small fires, ragged hot cracks inside a burst's smoke); embers and sparks that drift on a curl field, cool from white through orange to red and fall as ash; heat haze as refraction; firelight shared with the world; a world-space heat map that makes the ground's needles smoulder as hairlines and its pockets breathe; and gentle ink impact frames limited to three flashes a second. Use for fire or flame skills, fireballs, fire waves or breath, rings of fire, fire tornadoes or whirls, burning ground, wildfire fronts, smoke columns, embers, smouldering aftermath, "fire and smoke", "realistic fire", "flame thrower", "inferno", "burning field" or "skill effects only". Includes a reusable module and a five-beat demo on a scanned CC0 burned-ground floor with failure-mode switches.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

A 1970s European editorial poster in motion — a red rule draws across, a giant tilted figure drops in, a three-line headline rises line-by-line, an italic serif standfirst fades.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Think and work like an expert Air Quality Scientist. Use when a task calls for Air Quality Scientist judgment. Reasons from source emissions through transformation, transport, and dose using SMOKE/MOVES inventories, WRF-driven CTMs like CMAQ and CAMx, PMF/ME-2 apportionment, and concentration-response functions, while treating rotational PMF ambiguity, AOD-to-PM bias in humid regions, uncalibrated low-cost sensors, and untreated wildfire exceptional events as first-class failure modes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Computes a numeric or categorical answer to a quantitative data-science question by cleaning and analyzing local data files (CSV, Excel, TSV, and scientific formats .npz/.fits/.h5) with pandas, numpy, and scipy. Use whenever a task ships its own dataset (in whatever local directory it provides) and asks you to derive a value via statistical, geospatial, temporal, ratio, percentage, growth-rate, correlation, signal-processing, orbital, or forecasting analysis. Spans domains including archeology (demographics, paleoclimate proxies, radiocarbon dating, historical conflicts); biomedical/bioinformatics (tumor histology, genes, proteins, peptides, genomic variants); environmental (water quality, bacterial/Enterococcus exceedance, rainfall correlations, environmental justice); legal/consumer (fraud, identity theft, consumer complaints by state/metro); wildfire (incidents, causes, suppression costs, acres burned, fatalities, geospatial intersections); and astronomy/heliophysics/space weather (satellite telemetry TLE/Swarm/SP3, indices OMNI/GOES, solar activity, atmospheric density, orbital mechanics, forecasting).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.