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Claude Skills by nuroctane

github.com/nuroctane
1,166 skillsA× 1,024B× 97C× 20D× 16F× 90 installs218 views
Exploiting Zerologon Vulnerability Cve 2020 1472A

Exploits the Zerologon vulnerability (CVE-2020-1472) in the Netlogon

ai-agentspythongo
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3
Extracting Browser History ArtifactsA

Extracts and analyzes browser history, cookies, cache, downloads, and

ai-agentspythongo
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3
Extracting Config From Agent Tesla RatA

Extracts embedded configuration from Agent Tesla RAT samples, including

ai-agentspythonrust
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3
Extracting Credentials From Memory DumpA

Extracts cached credentials, password hashes, Kerberos tickets, and

ai-agentspythongo
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3
Extracting Iocs From Malware SamplesA

Extracts indicators of compromise (IOCs) from malware samples, including

ai-agentspythonrust
0
3
Extracting Memory Artifacts With RekallA

'Uses Rekall memory forensics framework to analyze memory dumps for process

ai-agentspythongo
0
3
Extracting Windows Event Logs ArtifactsA

Extract, parse, and analyze Windows Event Logs (EVTX) using Chainsaw,

ai-agentspythongo
0
3
Fleet Hunting With VelociraptorA

Deploy a Velociraptor server and agents, then author VQL (Velociraptor Query Language) artifacts and run them as fleet-wide hunts, on-demand forensic collections, or standalone offline collectors. Use when hunting a TTP across hundreds or thousands of endpoints, collecting forensic artifacts during incident response without re-imaging, or generating collectors for unmanaged/air-gapped hosts.

ai-agentsgoshell
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3
Generating And Analyzing SbomsC

Generate CycloneDX and SPDX SBOMs from container images and filesystems with Syft, correlate them to CVEs with Grype, and sign/attest them with Cosign. Use when you need a machine-readable dependency inventory for supply-chain risk, want to scan images or SBOMs for known vulnerabilities, or are embedding SBOM generation and vulnerability gating into CI/CD.

ai-agentsrustgo
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3
Generating Forensic Timelines With HayabusaA

Run Hayabusa against collected Windows EVTX files to apply Sigma detection rules and produce a prioritized, chronological CSV/JSON timeline with severity levels, MITRE ATT&CK mappings, and per-host/per-Event-ID metrics. Use during DFIR triage to turn raw event logs into a fast, SIEM-free incident timeline, or to export results into Timesketch or Timeline Explorer for collaborative analysis.

ai-agentsrustgo
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3
Generating Threat Intelligence ReportsA

'Generates structured cyber threat intelligence reports at strategic,

ai-agentsrustgo
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3
Hardening Docker Containers For ProductionB

Hardens Dockerfiles, images, and per-container runtime settings against the CIS Docker Benchmark v1.8.0: non-root users, dropped capabilities, read-only root filesystem, seccomp and AppArmor profiles, and minimal multi-stage builds, validated with docker-bench-security, Hadolint, and Dockle. Use when preparing a container or Dockerfile for production, or auditing images and runtime flags against CIS Docker controls. Keywords: Dockerfile, USER, --cap-drop, read-only rootfs, seccomp, AppArmor, ...

ai-agentspythonrust
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3
Hardening Docker Daemon ConfigurationC

Hardens the Docker daemon (dockerd) through /etc/docker/daemon.json with user namespace remapping, TLS client authentication, seccomp profiles, and CIS Docker Benchmark controls such as icc, no-new-privileges, and live-restore. Use when securing a Docker host's daemon to prevent privilege escalation, breakout, or lateral movement, or when auditing daemon settings against CIS requirements. Keywords: dockerd, daemon.json, userns-remap, no-new-privileges, icc, live-restore, TLS socket. Do not us...

ai-agentsrustbash
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3
Hardening Linux Endpoint With Cis BenchmarkB

'Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu,

ai-agentsgoshell
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3
Hardening Windows Endpoint With Cis BenchmarkA

'Hardens Windows endpoints using CIS (Center for Internet Security) Benchmark

ai-agentsgoshell
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3
Hunting Advanced Persistent ThreatsA

'Proactively hunts for Advanced Persistent Threat (APT) activity within

ai-agentsgoshell
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3
Hunting Bootkits In Efi System PartitionA

Baseline the EFI System Partition and hunt malicious EFI binaries such as ESPecter, BlackLotus, Bootkitty, and Glupteba by mounting the ESP, hashing and verifying boot loaders, scanning with YARA, and flagging anomalous non-EFI files or out-of-band bootloader changes. Use during proactive threat hunts for firmware/bootkit persistence (MITRE ATT&CK T1542.003) or when investigating suspected UEFI-level compromise that survives OS reinstall.

ai-agentsrustgo
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3
Hunting Credential Stuffing AttacksA

'Detects credential stuffing attacks by analyzing authentication logs

ai-agentspythontesting
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3
Hunting Evtx With ChainsawA

Run Chainsaw against collected Windows EVTX files to hunt with the SigmaHQ rule corpus, built-in detection rules, and high-speed keyword/regex search, plus analyze shimcache, SRUM, and event-log gaps, outputting colorized tables, CSV, or JSON. Use during first-response triage for offline, SIEM-free detection over Windows event logs, or to quickly confirm a hunt hypothesis and produce reporting output.

ai-agentsrustgo
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3
Hunting For Anomalous Powershell ExecutionA

'Hunt for malicious PowerShell activity by analyzing Script Block Logging

ai-agentspythonshell
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3
Hunting For Beaconing With Frequency AnalysisA

Identify command-and-control beaconing patterns in network traffic by

ai-agentsrustgo
0
3
Hunting For Cobalt Strike BeaconsA

Detect Cobalt Strike beacon command-and-control traffic using default TLS certificate signatures (serial 8BB00EE), JA3/JA3S/JARM fingerprints, HTTP malleable C2 profile pattern matching, and beacon jitter/interval analysis, built with Zeek network logs, Suricata IDS rules, and Python PCAP analysis. Use when hunting for Cobalt Strike beacon callbacks in network traffic or building detection rules for this C2 framework.

ai-agentspythongit
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Hunting For Command And Control BeaconingA

Detect C2 beaconing patterns in network traffic using frequency analysis,

ai-agentsrustgo
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3
Hunting For Data Exfiltration IndicatorsA

Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and encrypted-channel abuse, correlated against threat intel on destination domains. Use when hunting for data theft in a compromised environment, investigating unusual outbound data volumes, or determining what data was stolen during incident response.

ai-agentsgodatabase
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3
Hunting For Data Staging Before ExfiltrationA

Detect data-staging activity (MITRE ATT&CK T1074) by analyzing EDR/Sysmon process-creation and file-system telemetry (Event ID 4688, Sysmon 1/11) for 7-Zip/RAR/tar archive creation, unusual temp or hidden folder access, and anomalous consolidation of files from multiple directories. Use when hunting for pre-exfiltration staging behavior, building detection rules for archiver abuse, or validating monitoring coverage for T1074.

ai-agentspythondatabase
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3
Hunting For Dcom Lateral MovementA

'Hunt for DCOM-based lateral movement (MITRE ATT&CK T1021.003) by detecting

ai-agentspythongo
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Hunting For Dcsync AttacksA

Detect DCSync attacks (MITRE ATT&CK T1003.006) by analyzing Windows Event ID 4662 (AccessMask 0x100) for DS-Replication-Get-Changes and DS-Replication-Get-Changes-All requests issued by non-domain-controller accounts. Use when hunting for DCSync credential theft, after detecting Mimikatz-class tooling, or during incident response and purple-team exercises involving Active Directory replication abuse.

ai-agentspythonazure
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3
Hunting For Defense Evasion Via TimestompingA

'Detect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION

ai-agentspythonshell
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3
Hunting For Dns Based PersistenceA

Hunts for DNS-based persistence mechanisms such as DNS hijacking, dangling

ai-agentspythonrails
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3
Hunting For Dns Tunneling With ZeekA

Detects DNS tunneling and covert-channel data exfiltration by analyzing

ai-agentsbashgit
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3
Hunting For Domain Fronting C2 TrafficA

Detects domain fronting C2 traffic by analyzing SNI-vs-HTTP-Host-header

ai-agentspythonazure
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3
Hunting For Lateral Movement Via WmiA

Detects WMI-based lateral movement (e.g. wmic process call create,

ai-agentspythonshell
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3
Hunting For Living Off The Cloud TechniquesA

Hunts for adversary abuse of legitimate cloud services (Azure, AWS, GCP,

ai-agentsgoaws
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3
Hunting For Living Off The Land BinariesA

Proactively hunts for adversary abuse of legitimate, signed system binaries

ai-agentsrustshell
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3
Hunting For Lolbins Execution In Endpoint LogsA

Hunts for LOLBins (Living Off the Land Binaries) abuse, mapped to MITRE

ai-agentsjavascriptgo
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3
Hunting For Ntlm Relay AttacksA

Detects NTLM relay attacks (MITRE T1557.001) by analyzing Windows Event

ai-agentspythongo
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3
Hunting For Persistence Mechanisms In WindowsA

Systematically hunts for adversary persistence mechanisms across Windows

ai-agentsgoshell
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3
Hunting For Persistence Via Wmi SubscriptionsA

Hunts for adversary persistence via WMI event subscriptions (MITRE T1546.003)

ai-agentsgoshell
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Hunting For Process Injection TechniquesA

Detects process injection techniques (MITRE T1055) — including

ai-agentspythongit
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3
Hunting For Registry Persistence MechanismsA

Hunts for registry-based persistence mechanisms (MITRE T1547) in Windows

ai-agentsgoshell
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3
Hunting For Registry Run Key PersistenceA

Detect MITRE ATT&CK T1547.001 registry Run key persistence by analyzing

ai-agentspythongo
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Hunting For Scheduled Task PersistenceA

Runs a hypothesis-driven threat hunt for Windows Scheduled Task persistence (T1053), guiding SIEM/EDR queries against task creation events (e.g. Event ID 4698), suspicious task actions, and unusual scheduling patterns. Use when hunting for scheduled-task persistence, after threat intel flags related campaigns, during incident response, or when alerts fire on schtasks/at.exe activity.

ai-agentsshellsecurity
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3
Hunting For Shadow Copy DeletionA

Runs a hypothesis-driven threat hunt for Volume Shadow Copy deletion (T1490) by querying SIEM/EDR telemetry for vssadmin, wmic shadowcopy, and PowerShell shadow-copy-deletion commands. Use when hunting for ransomware preparation or anti-forensics activity, after threat intel flags active campaigns, or when alerts trigger on shadow-copy deletion commands.

ai-agentsshellsecurity
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3
Hunting For Spearphishing IndicatorsA

Hunt for spearphishing campaign indicators across email logs, endpoint

ai-agentsshellsecurity
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3
Hunting For Startup Folder PersistenceA

Detects T1547.001 startup folder persistence by monitoring Windows startup directories for suspicious file creation, cross-referencing Autoruns entries, and running a Python watchdog script for real-time filesystem monitoring. Use when hunting for malware or implants that survive reboot via startup-folder placement, or when validating autoruns/EDR findings against known-good startup baselines.

ai-agentspythongo
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Hunting For Supply Chain CompromiseA

Runs a hypothesis-driven threat hunt for supply-chain compromise (T1195) by querying SIEM/EDR logs for trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts. Use when hunting after threat intel flags a compromised vendor/dependency, scoping a build-pipeline compromise, or reviewing update/build integrity.

ai-agentsrustsecurity
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3
Hunting For Suspicious Scheduled TasksA

Hunts for adversary persistence and execution via Windows scheduled tasks (T1053.005) by analyzing Security Event ID 4698 task-creation events, suspicious task properties, and unusual execution patterns from schtasks.exe/at.exe. Use after detecting schtasks or at.exe in process creation logs, during incident response to enumerate persistence on compromised hosts, or when Event ID 4698 fires for an unusual task.

ai-agentsgoshell
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3
Hunting For T1098 Account ManipulationA

Hunts for MITRE ATT&CK T1098 account manipulation - shadow admin creation, SID history injection, group membership changes, and credential modifications - by analyzing Windows Security Event Log IDs 4738, 4728, 4732, 4756, 4670, and 5136. Use when investigating suspected privilege persistence in Active Directory, after detecting anomalous group/credential changes, or during incident response to trace account tampering.

ai-agentspythonsecurity
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3
Hunting For Unusual Network ConnectionsA

Runs a hypothesis-driven threat hunt for command-and-control activity (T1071) by querying SIEM/EDR network telemetry for anomalous outbound traffic, rare destinations, non-standard ports, and unusual connection frequencies from endpoints. Use when hunting for beaconing/C2 traffic, after threat intel flags suspicious infrastructure, or when alerts fire on anomalous connections.

ai-agentssecurity
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Hunting For Unusual Service InstallationsA

Detects suspicious Windows service installations (MITRE ATT&CK T1543.003) by parsing System event log Event ID 7045, analyzing service binary paths, and flagging indicators of persistence mechanisms via Sysmon/EDR telemetry. Use when hunting for new-service persistence after a suspected compromise, when Event ID 7045 fires for an unfamiliar service, or during incident response to enumerate service-based persistence on Windows hosts.

ai-agentspythonshell
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3