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 service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
andycungkrinx91/konoha☆ 92026년 10월 19일 업데이트
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, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly detection, and process data analytics to identify attacks that traditional IT security tools miss.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
andycungkrinx91/konoha☆ 92026년 10월 19일 업데이트
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 building normal behavior profiles for SCADA polling patterns, detecting deviations in Modbus/DNP3/OPC UA traffic, identifying rogue devices, and correlating network anomalies with physical process data from historians.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
andycungkrinx91/konoha☆ 92026년 10월 19일 업데이트
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, and exploitation of historian-specific vulnerabilities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
andycungkrinx91/konoha☆ 92026년 10월 19일 업데이트
Use when you need to design, review, or improve security in Spring Boot applications — including SecurityFilterChain, OAuth2/JWT resource server patterns, form login basics, method security (@PreAuthorize), CSRF and CORS for APIs, session fixation, security headers, exception handling, password encoding, and sensitive-data-safe logging. This should trigger for requests such as Add Spring Boot security support; Review Spring Boot security configuration; Improve API authorization in Spring Boot; Add JWT resource server security in Spring Boot; Harden Spring Boot security headers and CSRF settings. Part of cursor-rules-java project
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aibot88/sec_skill_store☆ 52026년 5월 27일 업데이트
This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
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 inspection and machine learning approaches.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
This skill covers detecting anomalies in Modbus/TCP and Modbus RTU communications in industrial control systems. It addresses function code monitoring, register range validation, timing analysis, unauthorized client detection, and deep packet inspection for malformed Modbus frames. The skill leverages Zeek with Modbus protocol analyzers, Suricata IDS with OT rules, and custom Python-based detection using Markov chain models for normal Modbus transaction sequences.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
Detect command injection attacks against Modbus TCP/RTU protocol in ICS environments by monitoring for unauthorized write operations, anomalous function codes, malformed frames, and deviations from established communication baselines using ICS-aware IDS and protocol deep packet inspection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
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, and exploitation of historian-specific vulnerabilities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
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 service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
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, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly detection, and process data analytics to identify attacks that traditional IT security tools miss.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
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 building normal behavior profiles for SCADA polling patterns, detecting deviations in Modbus/DNP3/OPC UA traffic, identifying rogue devices, and correlating network anomalies with physical process data from historians.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
micsapp/micstec-skills☆ 42026년 3월 20일 업데이트
Provides JWT authentication and authorization patterns for Spring Boot 3.5.x covering token generation with JJWT, Bearer/cookie authentication, database/OAuth2 integration, and RBAC/permission-based access control using Spring Security 6.x. Use when implementing authentication or authorization in Spring Boot applications.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
lgzarturo/springboot-course☆ 32026년 10월 17일 업데이트
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
lgzarturo/springboot-course☆ 32026년 10월 17일 업데이트
Java Spring Bootサービスにおける認証/認可、バリデーション、CSRF、シークレット、ヘッダー、レート制限、依存関係セキュリティのSpring Securityベストプラクティス。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
hage-oyaji/everything-claude-code-jp-local☆ 32026년 3월 29일 업데이트
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
sayasaya8039/ZWG_Terminal☆ 22026년 6월 8일 업데이트
This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aniket2348823/Vul-Agent☆ 22026년 6월 9일 업데이트
Detect command injection attacks against Modbus TCP/RTU protocol in ICS environments by monitoring for unauthorized write operations, anomalous function codes, malformed frames, and deviations from established communication baselines using ICS-aware IDS and protocol deep packet inspection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aniket2348823/Vul-Agent☆ 22026년 6월 9일 업데이트
This skill covers detecting anomalies in Modbus/TCP and Modbus RTU communications in industrial control systems. It addresses function code monitoring, register range validation, timing analysis, unauthorized client detection, and deep packet inspection for malformed Modbus frames. The skill leverages Zeek with Modbus protocol analyzers, Suricata IDS with OT rules, and custom Python-based detection using Markov chain models for normal Modbus transaction sequences.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aniket2348823/Vul-Agent☆ 22026년 6월 9일 업데이트
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 inspection and machine learning approaches.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aniket2348823/Vul-Agent☆ 22026년 6월 9일 업데이트
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, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly detection, and process data analytics to identify attacks that traditional IT security tools miss.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aniket2348823/Vul-Agent☆ 22026년 6월 9일 업데이트
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, and exploitation of historian-specific vulnerabilities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aniket2348823/Vul-Agent☆ 22026년 6월 9일 업데이트
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 service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
aniket2348823/Vul-Agent☆ 22026년 6월 9일 업데이트