yanacuti1121/Yana-AI - 12ページ

design-storytelling

Narrative-driven design using visuals, copy, and interaction to guide users through engaging, emotionally resonant journeys.

原文の言語: 英語

design-system-gen

Generate a complete design token system for a new project — color palette, typography scale, spacing, shadows, and border radius — tailored to the product type (SaaS, e-commerce, healthcare, fintech, creative, etc.). Use when starting a new project with no…

原文の言語: 英語

design-taste-frontend

Apply high-taste UI/UX principles to frontend work: visual hierarchy, spacing discipline, typography, color restraint, and anti-slop patterns. Use when the user asks to "make it look better", "improve the UI", "make it more professional", "it feels off", or…

原文の言語: 英語

design-terracotta

A sun-baked, clay-toned editorial interface built on warm cream surfaces, ink-brown headlines set in a display serif, and a single terracotta accent.

原文の言語: 英語

design-tetris

Classic block-game inspired design with playful colors, bold display fonts, and compact, high-energy layouts.

原文の言語: 英語

design-vibrant

Lively, colorful design with bold playful typography, warm accents, and dynamic visual energy.

原文の言語: 英語

design-vintage

1950s-1990s nostalgia with skeuomorphic touches, grainy textures, retro color palettes, and pixel-style typography.

原文の言語: 英語

detecting-ai-model-prompt-injection-attacks

Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models.…

原文の言語: 英語

detecting-anomalies-in-industrial-control-systems

This skill covers deploying anomaly detection systems for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications. It addresses…

原文の言語: 英語

detecting-anomalous-authentication-patterns

Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication…

原文の言語: 英語

detecting-api-enumeration-attacks

Detect and prevent API enumeration attacks including BOLA and IDOR exploitation by monitoring sequential identifier access patterns and authorization failures.

原文の言語: 英語

detecting-arp-poisoning-in-network-traffic

Detect and prevent ARP spoofing attacks using ARPWatch, Dynamic ARP Inspection, Wireshark analysis, and custom monitoring scripts to protect against man-in-the-middle interception.

原文の言語: 英語

detecting-attacks-on-historian-servers

Detect cyber attacks targeting OT historian servers (OSIsoft PI, Ignition, Wonderware) that sit at the IT/OT boundary and serve as pivot points for lateral movement between enterprise and control networks, including data manipulation, unauthorized queries,…

原文の言語: 英語

detecting-attacks-on-scada-systems

This skill covers detecting cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) systems including man-in-the-middle attacks on industrial protocols, unauthorized command injection into PLCs, HMI compromise, historian data manipulation,…

原文の言語: 英語

detecting-aws-cloudtrail-anomalies

Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access.

原文の言語: 英語

detecting-aws-credential-exposure-with-trufflehog

Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.

原文の言語: 英語

detecting-aws-guardduty-findings-automation

Automate AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.

原文の言語: 英語

detecting-aws-iam-privilege-escalation

Detect AWS IAM privilege escalation paths using boto3 and Cloudsplaining policy analysis to identify overly permissive policies, dangerous permission combinations, and least-privilege violations

原文の言語: 英語

detecting-azure-lateral-movement

Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.

原文の言語: 英語

detecting-azure-service-principal-abuse

Detect and investigate Azure service principal abuse including privilege escalation, credential compromise, admin consent bypass, and unauthorized enumeration in Microsoft Entra ID environments.

原文の言語: 英語

detecting-azure-storage-account-misconfigurations

Audit Azure Blob and ADLS storage accounts for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, disabled HTTPS-only traffic, and outdated TLS versions using the azure-mgmt-storage Python SDK.

原文の言語: 英語

detecting-beaconing-patterns-with-zeek

Performs statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns. Uses the ZAT library to load Zeek logs into Pandas DataFrames, calculates inter-arrival time standard deviation, and flags periodic connections with low…

原文の言語: 英語

detecting-bluetooth-low-energy-attacks

Detects and analyzes Bluetooth Low Energy (BLE) security attacks including sniffing, replay attacks, GATT enumeration abuse, and Man-in-the-Middle interception. Uses Ubertooth One and nRF52840 sniffers for packet capture, the bleak Python library for GATT…

原文の言語: 英語

detecting-broken-object-property-level-authorization

Detect and test for OWASP API3:2023 Broken Object Property Level Authorization vulnerabilities including excessive data exposure and mass assignment attacks.

原文の言語: 英語

detecting-business-email-compromise

Business Email Compromise (BEC) is a sophisticated fraud scheme where attackers impersonate executives, vendors, or trusted partners to trick employees into transferring funds, sharing sensitive data,

原文の言語: 英語

detecting-business-email-compromise-with-ai

Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based filters.

原文の言語: 英語

detecting-cloud-threats-with-guardduty

This skill teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous threat detection across AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting finding…

原文の言語: 英語

detecting-command-and-control-over-dns

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…

原文の言語: 英語

detecting-compromised-cloud-credentials

Detecting compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event…

原文の言語: 英語

detecting-container-drift-at-runtime

Detect unauthorized modifications to running containers by monitoring for binary execution drift, file system changes, and configuration deviations from the original container image.

原文の言語: 英語

detecting-container-escape-attempts

Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators

原文の言語: 英語

detecting-container-escape-with-falco-rules

Detect container escape attempts in real-time using Falco runtime security rules that monitor syscalls, file access, and privilege escalation.

原文の言語: 英語

detecting-credential-dumping-techniques

Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules

原文の言語: 英語

detecting-cryptomining-in-cloud

This skill teaches security teams how to detect and respond to unauthorized cryptocurrency mining operations in cloud environments. It covers identifying cryptomining indicators through compute usage anomalies, network traffic patterns to mining pools,…

原文の言語: 英語

detecting-dcsync-attack-in-active-directory

Detect DCSync attacks where adversaries abuse Active Directory replication privileges to extract password hashes by monitoring for non-domain-controller accounts requesting directory replication via DsGetNCChanges.

原文の言語: 英語

detecting-deepfake-audio-in-vishing-attacks

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…

原文の言語: 英語

detecting-dll-sideloading-attacks

Detect DLL side-loading attacks where adversaries place malicious DLLs alongside legitimate applications to hijack execution flow for defense evasion.

原文の言語: 英語

detecting-dnp3-protocol-anomalies

Detect anomalies in DNP3 (Distributed Network Protocol 3) communications used in SCADA systems by monitoring for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns using deep packet…

原文の言語: 英語

detecting-dns-exfiltration-with-dns-query-analysis

Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT record abuse, and response payload sizes using passive DNS monitoring.

原文の言語: 英語

detecting-email-account-compromise

Detect compromised O365 and Google Workspace email accounts by analyzing inbox rule creation, suspicious sign-in locations, mail forwarding rules, and unusual API access patterns via Microsoft Graph and audit logs.

原文の言語: 英語