Results for “threat-hunting”

Scan files, directories, and memory dumps using YARA rules to identify malware families, suspicious patterns, and IOC matches.

Hunt for threats in Windows Event Logs using Chainsaw, a fast Rust-based forensic tool that runs Sigma rules, keyword searches, and artifact analysis offline.

Proactively hunt for threats by analyzing IOCs, detecting behavioral anomalies in telemetry, and prioritizing signals mapped to MITRE ATT&CK.

Hunt for spearphishing campaign indicators across email logs, endpoint telemetry, and network data to detect targeted email attacks.

Deploys and configures Zeek network security monitor to passively analyze traffic, generate structured logs, detect anomalous behavior, and create custom detection scripts for threat hunting and incident response.

Detect SSO and OAuth token replay and SaaS lateral movement using identity telemetry from Microsoft Entra ID and Okta.

Hunt for supply chain compromise indicators including trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts.

Hunt for registry-based persistence mechanisms including Run keys, Winlogon modifications, IFEO injection, and COM hijacking in Windows environments.

Hunt for adversary persistence via Windows Scheduled Tasks by analyzing task creation events, suspicious task actions, and unusual scheduling patterns.

Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.

Hunt for web shell deployments on internet-facing servers by analyzing file creation in web directories, suspicious process spawning from web servers, and anomalous HTTP patterns.

Hunt for adversary abuse of legitimate cloud services for C2, data staging, and exfiltration across Azure, AWS, GCP, and SaaS platforms.

Expert guidance for proactive threat hunting. Use this when the user asks to "hunt" for threads, IOCs, or specific TTPs.

Proactively hunt for adversary abuse of legitimate system binaries (LOLBins) to execute malicious payloads while evading detection.

Hunt for adversary persistence and execution via Windows scheduled tasks by analyzing task creation events, suspicious task properties, and unusual execution patterns.

Performs STRIDE-A threat model analysis of repositories and systems, producing architecture overviews, DFD diagrams, prioritized findings, and executive assessments. Supports both single analysis and incremental updates with change tracking.

Conduct structured threat modeling for software systems using established methodologies to identify, prioritize, and mitigate security threats before they are exploited. Use when the user requests threat modeling or provides relevant inputs for this workflow.

Hunt for adversary abuse of Living Off the Land Binaries (LOLBins) by analyzing endpoint process creation logs for suspicious execution patterns of legitimate Windows system binaries used for malicious purposes.

Detect insider threat behavioral indicators including unusual data access, off-hours activity, mass file downloads, privilege abuse, and resignation-correlated data theft.

Hunt for Volume Shadow Copy deletion activity that indicates ransomware preparation or anti-forensics by monitoring vssadmin, wmic, and PowerShell shadow copy commands.

Ingests, normalizes, and enriches structured and unstructured threat intelligence feeds into STIX 2.1 format, evaluating feed quality and deduplicating indicators for distribution to SIEM, firewall, and EDR platforms.

Models threats for a service, feature, endpoint, integration, or architecture: assets, attackers, boundaries, flows, and abuse cases.

Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.

Hunt for Mimikatz execution using command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.

Hunt for Pass-the-Hash attacks by analyzing NTLM authentication patterns, identifying Type 3 logons where Kerberos is expected, and correlating with credential dumping indicators.

Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns and attribute them to common threat actors.

Deploy and integrate open-source CTI tools (MISP, OpenCTI, TheHive, Cortex) into a unified threat intelligence platform for collecting, analyzing, enriching, and disseminating threat intelligence.

Configure email security gateways like Microsoft Defender, Proofpoint, and Mimecast to detect and block targeted spearphishing attacks using impersonation protection, URL detonation, and attachment sandboxing.

`analysis-agent`/`task-agent`/`review-agent`: use for changed assets, trust boundaries, reachable abuse paths, impact, or control placement; skip without a security delta.

Designing red team attack scenarios, threat models, MITRE ATT&CK/OWASP application, Purple Team exercises, and AI/LLM red teaming. Use when adversarial security validation is needed.