“proactive-detection”的搜索结果

Investigate suspicious PowerShell activity using endpoint monitoring data and security logs. Examine encoded commands, downloads, and attempts to evade inspection, then document evidence, affected systems, risk, and recommended response actions.

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• Hunting for suspicious PowerShell execution
• Investigating endpoint and security log alerts
• Assessing the scope of a PowerShell-related incident

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.

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

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.

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

Investigate signs of Mimikatz credential theft using command lines, access to Windows authentication memory, file indicators, and known modules in memory. Correlate endpoint and security logs to assess suspicious alerts, document evidence, and recommend response actions.

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• Investigating alerts about Windows authentication memory access
• Hunting for signs of credential theft
• 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.

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

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.

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

Investigate Kerberoasting, an attack that targets service account passwords, using Active Directory authentication logs. Examine unusual service ticket requests, correlate endpoint and network evidence, and organize findings with risk levels and recommended response actions.

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• Hunting for unusual service ticket requests
• Investigating suspected service account password attacks
• Validating alerts and organizing response evidence

Investigate possible insider threats by correlating endpoint and security logs. Examine unusual data access, off-hours activity, bulk downloads, and privilege abuse, then document supporting evidence, risk, confidence, and recommended actions after checking the context for false positives.

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• Investigating bulk downloads before an employee leaves
• Reviewing data access outside an employee's duties
• Examining unauthorized queries by service accounts

Investigate attacks that make legitimate Windows applications load malicious DLL files. This skill examines loading events, digital signatures, file hashes, and unusual locations, then checks process behavior to document suspicious cases and guide remediation.

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• Investigating alerts about unsigned DLL files
• Hunting for persistent threats using legitimate applications
• Checking suspicious DLL loading paths

Investigate suspicious email forwarding and hidden inbox rules that may expose messages after an account compromise. The skill guides log analysis, validation, and reporting, helping analysts document evidence, assess risk, and recommend response actions.

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• Investigating external forwarding after an account compromise
• Checking rules that delete security alerts
• Hunting for rules that forward executive emails

Hunt for lateral movement, where attackers move between networked systems, using Splunk searches. Connect Windows logins with process and network activity to identify unusual host relationships, trace movement paths, and document affected accounts and systems.

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• Tracing activity after credential theft
• Investigating unusual logins between hosts
• Finding new or unexpected host connections

Turn threat intelligence and detection gaps into testable investigation hypotheses. Use endpoint monitoring and security log queries to examine evidence, validate findings, connect related activity, and document risks and recommended actions in a consistent hunt report.

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• Planning a hunt based on threat intelligence
• Investigating gaps in ATT&CK coverage
• Testing hypotheses prompted by unusual activity

Detect privilege escalation attempts including token manipulation, UAC bypass, unquoted service paths, kernel exploits, and sudo/doas abuse across Windows and Linux.

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Detect abuse of service accounts through anomalous interactive logons, privilege escalation, lateral movement, and unauthorized access patterns.

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Detect process hollowing (T1055.012) by analyzing memory-mapped sections, hollowed process indicators, and parent-child process anomalies in EDR telemetry.

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

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

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Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.

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Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking.

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

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Detect DLL side-loading attacks where adversaries place malicious DLLs alongside legitimate applications to hijack execution flow for defense evasion.

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Detect malicious email forwarding rules created by adversaries to maintain persistent access to email communications for intelligence collection and BEC attacks.

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Build a systematic threat hunt hypothesis framework that transforms threat intelligence, attack patterns, and environmental data into testable hunting hypotheses.

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

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