nexuslinkproductions/yuri-os - 13페이지

cyber-executing-nist-rmf-authorization-to-operate

>- Drive a federal system through the NIST Risk Management Framework (SP 800-37 Rev 2) to an Authorization to Operate (ATO): Prepare, Categorize (FIPS 199), Select a control baseline (FIPS 200 / SP 800-53 Rev 5), Implement, Assess (SP 800-53A), Authorize, and…

원문 언어: 영어

cyber-executing-phishing-simulation-campaign

Executes authorized phishing simulation campaigns to assess an organization''s susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing…

원문 언어: 영어

cyber-executing-red-team-engagement-planning

Red team engagement planning is the foundational phase that defines scope, objectives, rules of engagement (ROE), threat model selection, and operational timelines before any offensive testing begins.

원문 언어: 영어

cyber-executing-red-team-exercise

Executes comprehensive red team exercises that simulate real-world adversary operations against an organization''s people, processes, and technology. The red team operates with stealth as a primary objective, employing the full attack lifecycle from initial…

원문 언어: 영어

cyber-extracting-browser-history-artifacts

Extract and analyze browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge for forensic evidence of user web activity.

원문 언어: 영어

cyber-extracting-config-from-agent-tesla-rat

Extract embedded configuration from Agent Tesla RAT samples including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints using .NET decompilation and memory analysis.

원문 언어: 영어

cyber-extracting-credentials-from-memory-dump

Extract cached credentials, password hashes, Kerberos tickets, and authentication tokens from memory dumps using Volatility and Mimikatz for forensic investigation.

원문 언어: 영어

cyber-extracting-iocs-from-malware-samples

Extracts indicators of compromise (IOCs) from malware samples including file hashes, network indicators (IPs, domains, URLs), host artifacts (file paths, registry keys, mutexes), and behavioral patterns for threat intelligence sharing and detection rule…

원문 언어: 영어

cyber-extracting-memory-artifacts-with-rekall

Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts…

원문 언어: 영어

cyber-extracting-windows-event-logs-artifacts

Extract, parse, and analyze Windows Event Logs (EVTX) using Chainsaw, Hayabusa, and EvtxECmd to detect lateral movement, persistence, and privilege escalation.

원문 언어: 영어

cyber-fleet-hunting-with-velociraptor

Deploy a Velociraptor server and agents and write VQL hunts across a fleet.

원문 언어: 영어

cyber-generating-and-analyzing-sboms

Produce and ingest CycloneDX and SPDX SBOMs and correlate them to vulnerability intelligence.

원문 언어: 영어

cyber-generating-forensic-timelines-with-hayabusa

Produce Sigma-based EVTX timelines and summaries with Hayabusa.

원문 언어: 영어

cyber-generating-threat-intelligence-reports

Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products…

원문 언어: 영어

cyber-hardening-docker-containers-for-production

Hardening Docker containers for production involves applying security best practices aligned with CIS Docker Benchmark v1.8.0 to minimize attack surface, prevent privilege escalation, and enforce leas

원문 언어: 영어

cyber-hardening-docker-daemon-configuration

Harden the Docker daemon by configuring daemon.json with user namespace remapping, TLS authentication, rootless mode, and CIS benchmark controls.

원문 언어: 영어

cyber-hardening-linux-endpoint-with-cis-benchmark

Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Linux servers, remediating audit findings, or establishing…

원문 언어: 영어

cyber-hardening-windows-endpoint-with-cis-benchmark

Hardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Windows workstations or servers, remediating audit…

원문 언어: 영어

cyber-hunting-advanced-persistent-threats

Proactively hunts for Advanced Persistent Threat (APT) activity within enterprise environments using hypothesis-driven searches across endpoint telemetry, network logs, and memory artifacts. Use when conducting scheduled threat hunting cycles, investigating…

원문 언어: 영어

cyber-hunting-bootkits-in-efi-system-partition

Baseline the EFI System Partition and hunt malicious EFI binaries (ESPecter, BlackLotus, Bootkitty, Glupteba) by mounting the ESP, hashing and verifying boot loaders, scanning with YARA, and detecting anomalous non-EFI files.

원문 언어: 영어

cyber-hunting-credential-stuffing-attacks

Detects credential stuffing attacks by analyzing authentication logs for login velocity anomalies, ASN diversity, password spray patterns, and geographic distribution of failed logins. Uses statistical analysis on Splunk or raw log data. Use when…

원문 언어: 영어

cyber-hunting-evtx-with-chainsaw

Perform rapid Sigma and keyword hunting across Windows event logs with Chainsaw.

원문 언어: 영어

cyber-hunting-for-anomalous-powershell-execution

Hunt for malicious PowerShell activity by analyzing Script Block Logging (Event 4104), Module Logging (Event 4103), and process creation events. The analyst parses Windows Event Log EVTX files to detect obfuscated commands, AMSI bypass attempts, encoded…

원문 언어: 영어

cyber-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.

원문 언어: 영어

cyber-hunting-for-cobalt-strike-beacons

Detect Cobalt Strike beacon network activity using default TLS certificate signatures (serial 8BB00EE), JA3/JA3S/JARM fingerprints, HTTP C2 profile pattern matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.

원문 언어: 영어

cyber-hunting-for-command-and-control-beaconing

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

원문 언어: 영어

cyber-hunting-for-data-exfiltration-indicators

Hunt for data exfiltration through network traffic analysis, detecting unusual data flows, DNS tunneling, cloud storage uploads, and encrypted channel abuse.

원문 언어: 영어

cyber-hunting-for-data-staging-before-exfiltration

Detect data staging activity before exfiltration by monitoring for archive creation with 7-Zip/RAR, unusual temp folder access, large file consolidation, and staging directory patterns via EDR and process telemetry

원문 언어: 영어

cyber-hunting-for-dcom-lateral-movement

Hunt for DCOM-based lateral movement by detecting abuse of MMC20.Application, ShellBrowserWindow, and ShellWindows COM objects through Sysmon Event ID 1 (process creation) and Event ID 3 (network connection) correlation, WMI event analysis, RPC endpoint…

원문 언어: 영어

cyber-hunting-for-dcsync-attacks

Detect DCSync attacks by analyzing Windows Event ID 4662 for unauthorized DS-Replication-Get-Changes requests from non-domain-controller accounts.

원문 언어: 영어

cyber-hunting-for-defense-evasion-via-timestomping

Detect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION vs $FILE_NAME timestamps in the MFT. Uses analyzeMFT and Python to identify files with anomalous temporal patterns indicating anti-forensic timestomping activity.

원문 언어: 영어

cyber-hunting-for-dns-based-persistence

Hunt for DNS-based persistence mechanisms including DNS hijacking, dangling CNAME records, wildcard DNS abuse, and unauthorized zone modifications using passive DNS databases, SecurityTrails API, and DNS audit log analysis.

원문 언어: 영어

cyber-hunting-for-dns-tunneling-with-zeek

Detect DNS tunneling and data exfiltration by analyzing Zeek dns.log for high-entropy subdomain queries, excessive query volume, long query lengths, and unusual DNS record types indicating covert channel communication.

원문 언어: 영어

cyber-hunting-for-domain-fronting-c2-traffic

Detect domain fronting C2 traffic by analyzing SNI vs HTTP Host header mismatches in proxy logs and TLS certificate discrepancies using pyOpenSSL for certificate inspection

원문 언어: 영어

cyber-hunting-for-lateral-movement-via-wmi

Detect WMI-based lateral movement by analyzing Windows Event ID 4688 process creation and Sysmon Event ID 1 for WmiPrvSE.exe child process patterns, remote process execution, and WMI event subscription persistence.

원문 언어: 영어

cyber-hunting-for-living-off-the-cloud-techniques

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

원문 언어: 영어

cyber-hunting-for-living-off-the-land-binaries

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

원문 언어: 영어

cyber-implementing-aes-encryption-for-data-at-rest

AES (Advanced Encryption Standard) is a symmetric block cipher standardized by NIST (FIPS 197) used to protect classified and sensitive data. This skill covers implementing AES-256 encryption in GCM m

원문 언어: 영어

cyber-implementing-alert-fatigue-reduction

Implements strategies to reduce SOC alert fatigue by tuning detection rules, consolidating duplicate alerts, implementing risk-based alerting, and measuring alert quality metrics to maintain analyst effectiveness and prevent critical alert dismissal. Use when…

원문 언어: 영어

cyber-implementing-anti-phishing-training-program

Security awareness training is the human layer of phishing defense. An effective anti-phishing training program combines regular simulations, interactive learning modules, metric tracking, and positiv

원문 언어: 영어