identity-insider-investigation
Identity Insider Investigation.
- License 许可
- MIT
- 最近更新
- 2026-09-01
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- identity-insider-investigation
- domain
- cybersecurity
- description
- Identity Insider Investigation.
02 资源文件 1
- 参考文档index.json520 B
03 SKILL.md 正文
| | Insider Threat | Risk posed by individuals with authorized access who intentionally or unintentionally cause harm to the organization | | User Behavior Analytics (UBA) | Technology that analyzes user activity patterns to detect anomalies indicating potential insider threats | | Data Loss Prevention (DLP) | Technology that monitors, detects, and blocks unauthorized transfer of sensitive data outside the organization | | Legal Hold | Directive to preserve all relevant evidence and suspend normal document destruction policies during an investigation | | Need to Know | Information access principle restricting insider threat investigation details to only authorized team members | | Exfiltration Vector | Method used to move data outside the organization: USB, email, cloud storage, print, screen capture, photography |
Tools & Systems
- Microsoft Purview (formerly Compliance Center): Insider risk management, DLP, eDiscovery, and content search
- Exabeam / Securonix: User and entity behavior analytics (UEBA) platforms for anomaly detection
- Digital Guardian: DLP and insider threat detection platform with endpoint agent
- Magnet AXIOM: Digital forensics platform supporting endpoint, cloud, and mobile evidence analysis
- Relativity: eDiscovery platform for legal review of collected evidence in insider threat cases
Common Scenarios
Scenario: Departing Engineer Exfiltrating Source Code
Context: A senior software engineer with access to critical repositories submits a two-week resignation notice. The engineering manager reports that the engineer has been working unusual hours and downloading large amounts of code.
Approach:
- Obtain legal authorization to investigate before taking any action
- Pull Git access logs showing repository clones and downloads for the past 60 days
- Review DLP logs for USB device connections and large file transfers
- Check email gateway for messages with code attachments sent to personal accounts
- Analyze browser history for personal cloud storage uploads
- Image the workstation forensically before the employee's last day
- Present findings to legal and HR for determination of next steps
Pitfalls:
- Investigating without legal counsel authorization (may violate employee privacy rights)
- Alerting the subject to the investigation before evidence is preserved
- Not preserving the workstation before the employee's departure date
- Assuming all after-hours access is malicious without comparing to the employee's historical baseline
- Failing to check personal mobile devices that may have accessed corporate cloud services
Output Format
INSIDER THREAT INVESTIGATION REPORT
=====================================
Case ID: INV-2025-042
Classification: CONFIDENTIAL - Need to Know Only
Subject: [Name Redacted] - Senior Engineer
Investigation Period: 2025-10-01 to 2025-10-28
Investigator: [Name]
Legal Counsel: [Name]
HR Liaison: [Name]
ALLEGATION
Unauthorized exfiltration of proprietary source code and customer
data following resignation submission.
EVIDENCE SUMMARY
1. Git logs: 47 repositories cloned (vs. baseline of 3)
2. USB transfers: 4.6 GB across 3 unique devices over 12 sessions
3. Email: 200+ emails with attachments forwarded to personal Gmail
4. Cloud: Google Drive sync client installed, syncing corporate files
5. Print: 847 pages including customer contact database
6. Physical access: After-hours badge access on 8 of 12 workdays
BEHAVIORAL ANALYSIS
[Baseline vs. anomalous activity comparison]
IMPACT ASSESSMENT
Data Classification: Confidential (source code, customer PII)
Estimated Volume: 7.2 GB exfiltrated
Regulatory Impact: Potential GDPR notification (customer PII)
Business Impact: Competitive advantage at risk
TIMELINE
[Chronological event listing]
RECOMMENDATIONS
1. [Legal/HR decision on employment action]
2. [Evidence preservation actions]
3. [Regulatory notification assessment]
4. [Access control improvements]
04 同仓库更多 Skills
services-wmi-persistence-detect
Detect WMI event subscription persistence by enumerating ActiveScriptEventConsumer, CommandLineEventConsumer, and permanent subscriptions in the WMI repository.
services-wmi-exec-exploit
Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.
registry-artifact-extract
Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.
processes-token-impersonate-detect
Detect Windows token impersonation and privilege abuse including SeImpersonatePrivilege exploitation via Potato attacks and token stealing techniques.
processes-thread-injection-detect
Detect Windows thread injection techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.
processes-hollow-technique-detect
Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.