查找技能

Build real-time detection for ransomware encryption by combining changes in data randomness with file modification rates, renames, and process activity. Define behavioral scores and response thresholds, then check detection accuracy and monitoring overhead.

中文简介正在准备中。当前显示英语简介。

• Building ransomware monitoring for endpoints and file servers
• Tuning detection thresholds to reduce false positives
• Investigating processes suspected of encrypting files

Design monitoring for industrial attacks that alter controller programs while hiding changes with false sensor readings. Compare PLC program blocks against known-good copies and check physical measurements against process models to identify suspicious inconsistencies.

中文简介正在准备中。当前显示英语简介。

• Monitoring industrial controller programs for unauthorized changes
• Investigating discrepancies between sensor readings and equipment behavior
• Planning detection across IT and industrial control systems

Set up Zeek to observe network traffic and produce structured logs for security analysis. Create custom detection scripts, investigate suspicious DNS activity and repeated external connections, and forward logs to a central security monitoring system.

中文简介正在准备中。当前显示英语简介。

• Set up passive monitoring at key network points
• Create detection scripts for suspicious DNS and repeated connections
• Forward Zeek logs to a central security monitoring system

Investigate attempts to gain higher privileges on Windows and Linux using endpoint and security logs. Guide hypothesis testing, evidence analysis, false-positive checks, and reporting to help assess suspicious privilege changes and the scope of a compromise.

中文简介正在准备中。当前显示英语简介。

• Hunting for signs of privilege escalation
• Investigating alerts about suspicious privilege changes
• Assessing compromise scope during incident response

Investigate service account misuse by examining unexpected interactive logons, privilege changes, and movement between systems. Correlate endpoint and security logs, distinguish suspicious activity from legitimate operations, and document evidence, risk, and recommended responses.

中文简介正在准备中。当前显示英语简介。

• Investigating unexpected interactive logons by service accounts
• Checking service account access outside its assigned scope
• Tracing suspicious movement between systems after hours

Find undocumented API endpoints, the addresses applications send requests to, by comparing traffic with OpenAPI specifications and examining cloud settings and source code. Build an inventory with activity and risk details to review forgotten or outdated APIs.

中文简介正在准备中。当前显示英语简介。

• Finding API endpoints missing from documentation
• Auditing forgotten test APIs and outdated versions
• Prioritizing undocumented APIs for security review

Detect attacks that misuse legitimate Windows utilities such as certutil and mshta. Analyze process logs, command arguments, and parent-child relationships with Sigma detection rules, then report suspicious events with severity scores and supporting event details.

中文简介正在准备中。当前显示英语简介。

• Investigating suspicious use of built-in Windows utilities
• Creating Sigma rules for unusual command arguments
• Finding Office apps that launch unexpected system utilities

Monitor requests to an AI prediction API for signs of model copying or training-data exposure. Test an authorized model with simulated attacks, measure the risk, and evaluate defenses such as request limits and reduced prediction detail.

中文简介正在准备中。当前显示英语简介。

• Monitoring a public or partner prediction API
• Measuring model copying risk before deployment
• Testing request limits and reduced prediction detail

Investigate NTLM relay, an attack that forwards authentication messages to another service, by comparing Windows login events with host inventories. Use the supplied queries and audits to identify suspicious sources, weaker authentication, and gaps in signing enforcement.

中文简介正在准备中。当前显示英语简介。

• Investigating mismatched login source addresses and hostnames
• Building SIEM rules to detect NTLM relay
• Auditing SMB and LDAP signing requirements

Investigate stolen Kerberos tickets, authentication credentials that can be reused without a password, by correlating Windows security events. Build Splunk or Elastic detection rules for cross-host reuse, weaker encryption, and unusual request volumes, and report risk-scored findings.

中文简介正在准备中。当前显示英语简介。

• Investigating suspected reuse of stolen Kerberos tickets
• Building Splunk or Elastic detection rules
• Finding unusual ticket request volumes

Analyze Windows authentication logs for repeated password guesses against Remote Desktop services. Group failures by source IP and account, check for later successful logins, and produce a JSON report highlighting attack patterns and possible compromise.

中文简介正在准备中。当前显示英语简介。

• Investigate repeated login failures on exposed RDP services
• Identify accounts targeted by password guessing
• Check for successful logins after repeated failures

Audit Secure Boot settings, revoked boot components, and EFI startup files on Linux and Windows. The skill helps identify missing protections and signs of bootkits, malicious software that runs before the operating system.

中文简介正在准备中。当前显示英语简介。

• Auditing Secure Boot after a bootkit advisory
• Checking revocation updates across managed devices
• Investigating suspected bootkit infections

Investigate suspected rootkits, malware that hides its presence, by comparing process lists, inspecting memory, and checking system integrity. Use Volatility and Windows or Linux scanners to identify hidden processes, suspicious drivers, altered system calls, and concealed connections.

中文简介正在准备中。当前显示英语简介。

• Investigating compromise when standard tools show no anomalies
• Comparing process lists to find hidden activity
• Examining suspicious drivers and concealed connections

Investigate suspicious mobile apps by examining permissions, network traffic, and runtime behavior. Use observed evidence to identify signs of data theft, SMS interception, credential stealing, or communication with attacker control servers, then classify the suspected malware.

中文简介正在准备中。当前显示英语简介。

• Triaging suspicious APK or IPA samples
• Investigating possible data leaks from mobile apps
• Checking for SMS interception and credential theft

Investigate malicious code placed inside legitimate Windows processes using memory analysis, event logs, and API monitoring. Identify injection methods, examine extracted code, and produce evidence reports and detection rules for suspicious process behavior.

中文简介正在准备中。当前显示英语简介。

• Investigating unexpected connections from legitimate processes
• Finding injected code in memory dumps
• Classifying process hollowing and other injection methods

Investigate Pass-the-Hash attacks, where stolen password hashes are reused for authentication. Examine unusual NTLM logins alongside credential theft indicators, validate suspicious findings across security logs, and document evidence, affected hosts, confidence, and recommended responses.

中文简介正在准备中。当前显示英语简介。

• Hunting for movement using stolen password hashes
• Triaging suspicious NTLM login alerts
• Assessing the scope of a compromise

Develop network monitoring for signs that may precede ransomware encryption. Uses detection rules, linked log events, and threat intelligence to identify suspicious activity and define how alerts should be investigated, prioritized, and escalated.

中文简介正在准备中。当前显示英语简介。

• Creating detection rules for activity before ransomware encryption
• Linking suspicious logins, scans, and file share access
• Investigating unusual internal network communications

Investigate process hollowing, where malicious code replaces a legitimate process in memory. Compare memory with disk files, examine process relationships, and correlate network activity to document suspicious processes and guide containment.

中文简介正在准备中。当前显示英语简介。

• Investigating process injection alerts from EDR
• Examining suspicious behavior in legitimate Windows processes
• Finding threats that run in memory

Investigate phishing emails that hide malicious links in QR codes. Decode destinations, analyze suspicious URLs, configure email detection rules, and plan mobile protections and awareness training for people who scan codes on their phones.

中文简介正在准备中。当前显示英语简介。

• Investigating suspicious emails containing QR codes
• Configuring QR detection for email images and PDF attachments
• Protecting phones from malicious QR destinations

Analyze proxy, DNS, and firewall traffic logs to uncover unapproved SaaS and cloud services. Group usage by domain, compare it with approved applications, and produce a report with traffic volumes, user counts, risk scores, and remediation recommendations.

中文简介正在准备中。当前显示英语简介。

• Finding unapproved SaaS and cloud services
• Measuring traffic volumes and users by service
• Prioritizing services by potential data leakage risk

Guide malware cleanup on infected Windows and Linux systems after containment and investigation. Covers removing malicious files and mechanisms that preserve attacker access, rotating credentials, patching entry points, and documenting validation results before recovery.

中文简介正在准备中。当前显示英语简介。

• Cleaning infected systems after containment
• Removing mechanisms that preserve attacker access
• Rotating compromised credentials and fixing entry points

Assess serverless functions, primarily AWS Lambda, for unsafe execution of external input and unauthorized changes to code or added libraries. Combine source inspection, activity logs, and permission reviews to identify injection risks and recommend detection and prevention measures.

中文简介正在准备中。当前显示英语简介。

• Reviewing Lambda event handlers for injection vulnerabilities
• Investigating unauthorized function or layer changes
• Checking privilege escalation through Lambda execution roles

Assess an authorized Active Directory environment by simulating attacks against credentials, permissions, and trust relationships. Use BloodHound and related testing tools to identify paths to administrator access, evaluate detection capabilities, and document findings with remediation recommendations.

中文简介正在准备中。当前显示英语简介。

• Assessing Active Directory security with written authorization
• Finding paths from ordinary users to administrator access
• Reviewing Kerberos and delegation settings

Audit GitHub Actions workflows and CI/CD configurations for supply chain risks. Use Python and YAML parsing to identify unpinned actions, unsafe event expressions, excessive permissions, dependency confusion, and potential exposure of secrets in build pipelines.

中文简介正在准备中。当前显示英语简介。

• Reviewing GitHub Actions workflow security
• Checking action version pinning
• Finding unsafe event expressions in scripts