'phi' 검색 결과

Spearphishing simulation is a targeted social engineering attack vector used by red teams to gain initial access. Unlike broad phishing campaigns, spearphishing uses OSINT-derived intelligence to craf

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Spearphishing simulation is a targeted social engineering attack vector used by red teams to gain initial access. Unlike broad phishing campaigns, spearphishing uses OSINT-derived intelligence to craf

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Spearphishing simulation is a targeted social engineering attack vector used by red teams to gain initial access. Unlike broad phishing campaigns, spearphishing uses OSINT-derived intelligence to craf

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

의료 앱 공개 전에 진료 판단 지원 로직, 환자 정보 유출, 데이터 무결성 등을 검증하는 스킬입니다. 중대한 테스트가 실패하면 배포를 중단하는 구성을 제시합니다.

• 전자 의무 기록 공개 전 검증
• 약물 상호작용과 투여량 검증 변경 확인
• 권한 변경 후 환자 정보 유출 확인

글이나 자료를 비교도·연표·절차도 등의 인포그래픽으로 만듭니다. 21가지 레이아웃과 21가지 화풍을 조합해 이미지를 생성합니다.

• 비교 내용을 그림으로 설명할 때
• 작업 절차를 도식화할 때
• 연표를 이미지로 만들 때

새 기능 도입에 필요한 사용자 문제, 대안, 절충 사항과 성공 지표를 정리합니다. 어두운 배경의 HTML 슬라이드로 만들어 부서 간 검토를 돕습니다.

• 새 기능의 배경이 되는 사용자 문제 설명
• 구현 대안과 절충 사항 비교
• 부서 간 성공 지표 검토

Produce short motion graphics for animated text, numbers, charts, logos, and social overlays. Guides asset sourcing, shot design, composition, rendering, and validation, with output as an MP4 or a transparent video overlay.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animate headlines and short text
• Show key numbers and charts in motion
• Create a short logo reveal

Add timed graphic cards to an existing interview, podcast, or talking-head video. Turn spoken points into titles, quotes, and data callouts, then render an MP4 in a landscape or portrait format while the original clip plays throughout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Highlight key points in an interview
• Add data callouts to an explainer video
• Package a podcast video for a portrait canvas

Create and prepare marketing images for blogs, social posts, product showcases, and banners. Choose suitable generation or design tools, plan prompts and layouts, and optimize image dimensions, formats, and file sizes for web use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating blog headers and social sharing previews
• Preparing social graphics and profile banners
• Building product mockups from real screenshots

Create and edit vector graphics, images built from shapes and paths, using commands for text, colors, layers, and layout. Save project state, undo edits, and export finished graphics as SVG, PNG, or PDF.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating graphics from shapes and text
• Laying out long headlines in wrapped text boxes
• Adjusting colors, gradients, and layers

Create and edit QGIS map projects from the terminal. Add geographic features and attributes, arrange maps and labels in print layouts, export PDFs or images, and run QGIS algorithms for processing geographic data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a map project and adding points
• Adding geographic features and attributes
• Exporting labeled maps as PDFs or images

Turn supplied data or optional research into infographic drafts for reports, presentations, or social posts. Choose layouts and visual styles, generate PNG images, and use automated reviews to guide revisions while retaining review logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning report statistics into an infographic
• Creating a timeline of project milestones
• Comparing product features visually

Turn a theme into generative art, artwork created by computational rules, using p5.js. Receive a written artistic philosophy and an interactive HTML viewer with adjustable parameters, reproducible variations, and PNG download controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating generative art from a theme
• Exploring particle and flow-based compositions
• Comparing reproducible variations using seeds

Plan authorized voice phishing assessments to evaluate how employees verify callers and report suspicious calls. Organize approved scenarios, record assessment outcomes, and summarize disclosure, verification, and reporting rates to review security awareness training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an authorized voice phishing assessment
• Evaluating caller verification and security reporting
• Reviewing the effectiveness of security awareness training

Analyze malicious JavaScript from phishing pages, payment data theft scripts, and malware downloaders. Unwrap encoded strings and nested execution layers to reveal hidden behavior, identify stolen data fields, and document suspicious destinations for incident response.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyzing obfuscated scripts on phishing pages
• Investigating payment data theft on checkout pages
• Examining JavaScript that downloads further malware

Search public TLS certificate records through crt.sh and pycrtsh to investigate lookalike domains, unexpected certificate issuers, and untracked IT assets. Compare domain spellings and review certificate details to support phishing detection and certificate monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding domains that imitate a brand
• Reviewing unexpected certificate issuers
• Investigating untracked domains and IT assets

Find lookalike domains with dnstwist and prioritize suspicious results using DNS records, registration age, and website similarity. The skill also covers monitoring for new findings and producing blocklists and reports to support domain takedown requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding domains that imitate a company or brand
• Investigating suspected phishing domains
• Monitoring for newly discovered lookalike domains

Monitor public certificate issuance records to find suspected phishing domains, brand lookalikes, and unauthorized certificates. Use crt.sh for historical searches and Certstream for live alerts, then summarize suspicious findings and detection reasons in a report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitor domains that resemble a company brand
• Investigate certificate issuance history
• Discover subdomains in public certificate records

Design and review web and mobile interfaces using searchable guidance on colors, fonts, layouts, charts, and interaction. Generate a consistent design plan, then apply framework-specific advice and checks for accessibility, responsiveness, and visual consistency.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose colors and fonts for a new app
• Design a dashboard and select suitable charts
• Review forms for accessibility and ease of use

Use LitGPT to explore language model implementations and train models on custom data. Covers pretrained model loading, LoRA fine-tuning that updates a small set of parameters, pretraining, and preparing trained models for deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Studying language model architecture through readable code
• Fine-tuning a model on custom instruction data
• Configuring LoRA training for a single GPU

Assess reported phishing emails by checking sender authentication, links, and attachments. Post a risk rating, supporting evidence, and a recommended action to Slack, leaving blocking, deletion, and other changes to the security team.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triage newly reported suspicious emails
• Reassess a specific reported email
• Explain the evidence behind a risk rating

Generate blog hero images, social previews, product photos, and infographics with Gemini through the banana extension. Apply settings suited to each use, then receive guidance on descriptive alt text, file naming, WebP conversion, and image metadata.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a social sharing preview image
• Generate a main image for a blog post
• Produce a product photo with a white background

Use LitGPT to explore language model implementations and train models on custom data. Covers pretrained model loading, LoRA fine-tuning that updates a small set of parameters, pretraining, and preparing trained models for deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Studying language model architecture through readable code
• Fine-tuning a model on custom instruction data
• Configuring LoRA training for a single GPU

Generates cryptographic test vectors, inputs with expected outcomes, by deliberately changing implementation code and finding changes existing tests miss. Verifies new vectors across independent implementations and compares detection rates before and after adding them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding coverage gaps in cryptographic test vectors
• Creating invalid inputs that exercise validation checks
• Building test vectors shared across independent implementations