Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect Golden Ticket attacks in Active Directory by analyzing Kerberos TGT anomalies including mismatched encryption types, impossible ticket lifetimes, non-existent accounts, and forged PAC signatures in domain controller event logs.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
index=wineventlog EventCode=4769
| where TicketEncryptionType="0x17"
| where ServiceName!="krbtgt"
| stats count by TargetUserName ServiceName IpAddress TicketEncryptionType Computer
| where count > 5
| sort -count
index=wineventlog (EventCode=4768 OR EventCode=4769)
| stats earliest(_time) as first_tgt by TargetUserName IpAddress EventCode
| eventstats earliest(eval(if(EventCode=4768, first_tgt, null()))) as tgt_time by TargetUserName IpAddress
| where EventCode=4769 AND (isnull(tgt_time) OR first_tgt < tgt_time)
| table TargetUserName IpAddress first_tgt tgt_time
SecurityEvent
| where EventID == 4769
| where TicketEncryptionType == "0x17"
| where ServiceName != "krbtgt"
| summarize Count=count() by TargetUserName, IpAddress, ServiceName
| where Count > 5
Hunt ID: TH-GOLDEN-[DATE]-[SEQ]
Suspected Account: [Account using forged ticket]
Source IP: [Client IP]
Target Service: [SPN accessed]
Encryption Type: [RC4/AES128/AES256]
Anomaly: [No prior TGT/RC4 in AES environment/Extended lifetime]
KRBTGT Last Reset: [Date]
Risk Level: [Critical]
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。