Results for “suricata”

13 skills
More results
mukul975
Detecting Attacks On Scada Systems
Detects cyber attacks targeting SCADA systems, including man-in-the-middle, command injection, HMI compromise, historian manipulation, and DoS, using OT-specific intrusion detection and protocol anomaly analysis.
24.6k · bundle
mukul975
Analyzing Cobaltstrike Malleable C2 Profiles
Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.
24.6k · bundle
mukul975
Detecting Command And Control Over Dns
Detects command-and-control (C2) communications tunneled through DNS protocol, including DNS tunneling tools, domain generation algorithms, and encoded payload delivery via TXT/CNAME records.
24.6k · bundle
vikingokft
Wp Security Deep
Audits WordPress plugin and theme PHP code for advanced security issues beyond basic sanitization, including object injection, SSRF, CSRF, mass assignment, file inclusion, mail header injection, ZipSlip, type juggling, and TOCTOU races.
0
zhaoxuya520
Threat Hunting
Guides blue-team threat hunting and detection engineering with hypothesis-driven workflows, Sigma/YARA rule creation, SIEM query design, and validation using Atomic Red Team in authorized environments.
12.8k · bundle
mukul975
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.
24.6k · bundle
mukul975
Detecting Modbus Command Injection Attacks
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.
24.6k · bundle
mukul975
Detecting Dnp3 Protocol Anomalies
Detect anomalies in DNP3 protocol 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.
24.6k · bundle