Results for “network-fingerprinting”
12 skillsMore results
mukul975 detecting-network-scanning-with-ids-signatures
Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.
24.6k · bundle
mukul975 performing-brand-monitoring-for-impersonation
Detect brand impersonation attacks across domains, social media, mobile apps, and dark web channels to identify phishing campaigns, fake sites, and unauthorized brand usage.
24.6k · bundle
mukul975 performing-dns-tunneling-detection
Detects DNS tunneling by computing Shannon entropy of DNS query names, analyzing query length distributions, inspecting TXT record payloads, and identifying high subdomain cardinality using scapy for packet capture analysis.
24.6k · bundle
mukul975 implementing-network-deception-with-honeypots
Deploy and manage network honeypots using OpenCanary, T-Pot, or Cowrie to detect unauthorized access, lateral movement, and attacker reconnaissance.
24.6k · bundle
mukul975 analyzing-network-packets-with-scapy
Craft, send, sniff, and dissect network packets using Scapy for protocol analysis, network reconnaissance, and traffic anomaly detection in authorized security testing.
24.6k · bundle
mukul975 analyzing-typosquatting-domains-with-dnstwist
Detect typosquatting, homograph phishing, and brand impersonation domains using dnstwist to generate domain permutations and identify registered lookalike domains targeting your organization.
24.6k · bundle
mukul975 hunting-for-cobalt-strike-beacons
Detect Cobalt Strike beacon network activity using TLS certificate signatures, JA3/JA3S/JARM fingerprints, HTTP C2 profile matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.
24.6k · bundle
mukul975 hunting-for-beaconing-with-frequency-analysis
Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis, jitter calculation, and coefficient of variation scoring to detect periodic callbacks from compromised endpoints.
24.6k · bundle
mukul975 hunting-for-unusual-network-connections
Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.
24.6k · bundle
mukul975 detecting-typosquatting-packages
Flag misspelled, brandjacked, and typosquatted package names across npm, PyPI, and crates.io before installation using edit-distance, keyboard-proximity, and known-target corpus matching with typomania, OSSGadget, and pypi-scan.
24.6k · bundle
mukul975 detecting-mimikatz-execution-patterns
Hunt for Mimikatz execution using command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.
24.6k · bundle