mukul975

Analyzes intrusion activities using the Lockheed Martin Cyber Kill Chain to enhance security controls and threat intelligence reporting.

Analyzes DNS logs to detect data exfiltration and DNS tunneling, enhancing security measures against covert threats.

Analyzes indicators of compromise to assess maliciousness and enrich threat intelligence for effective cybersecurity responses.

Enables runtime security testing of iOS apps using Objection and Frida to inspect data and bypass client-side protections.

Utilizes the Linux Audit framework to detect intrusion attempts and unauthorized access through log analysis and rule configuration.

Analyzes threat intelligence feeds to extract actionable insights, normalize data, and enrich indicators for cybersecurity applications.

Monitors Certificate Transparency logs to detect unauthorized certificate issuance and discover subdomains for enhanced cybersecurity.

Automates the enrichment of raw indicators of compromise using multi-source threat intelligence to enhance cybersecurity workflows.

Covers deploying Microsoft Sentinel as a cloud-native SIEM for centralized security operations and automated threat detection.

Creates real-time incident response dashboards in Splunk, Elastic, or Grafana for enhanced situational awareness during incidents.

Creates structured incident response playbooks aligned with NIST standards, enhancing organizational readiness for cybersecurity incidents.

Enables SOC teams to track performance metrics and KPIs for improved operational visibility and continuous improvement in security operations.

Creates a systematic framework for threat hunting, transforming intelligence and data into actionable hypotheses for cybersecurity.

Automates threat intelligence feed integration for SOC teams, enabling real-time IOC matching and alerting through SIEM platforms.

Collects and synthesizes open-source intelligence on threat actors and malicious infrastructure using various OSINT tools.

Analyzes mobile applications for malicious behavior using dynamic instrumentation and network monitoring to detect malware indicators.

Detects and mitigates OAuth token theft and replay attacks in cloud environments, focusing on Microsoft Entra ID security measures.

Detects Pass-the-Hash attacks by analyzing NTLM authentication patterns and correlating with credential dumping for proactive security measures.

Detects privilege escalation attempts across Windows and Linux, enhancing proactive threat hunting and incident response capabilities.

Identifies early ransomware indicators in network traffic to prevent data loss before encryption occurs.