hunting-unusual-audit
Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.
- License 许可
- MIT
- 最近更新
- 2026-09-01
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- hunting-unusual-audit
- tags
- [ "threat-hunting", "mitre-attack", "network-analysis", "c2", "anomaly-detection", "proactive-detection" ]
- capec
- []
- model
- sonnet
- tools
- [ "Read", "Bash", "Glob", "Grep" ]
- domain
- cybersecurity
- maxTurns
- 20
- nist_csf
- [ "DE.CM-01", "DE.AE-02", "DE.AE-07", "ID.RA-05" ]
- subdomain
- threat-hunting
- description
- Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.
- mitre_attack
- [ "T1059", "T1070", "T1071" ]
- d3fend_techniques
- [ "File Metadata Consistency Validation", "Certificate Analysis", "Application Protocol Command Analysis", "Content Format Conversion", "File Content Analysis" ]
02 资源文件 1
- 参考文档index.json638 B
03 SKILL.md 正文
Hunting For Unusual Network Connections
When to Use
- When proactively hunting for indicators of hunting for unusual network connections in the environment
- After threat intelligence indicates active campaigns using these techniques
- During incident response to scope compromise related to these techniques
- When EDR or SIEM alerts trigger on related indicators
- During periodic security assessments and purple team exercises
Prerequisites
- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
- Sysmon deployed with comprehensive configuration
- Windows Security Event Log forwarding enabled
- Threat intelligence feeds for IOC correlation
Workflow
- Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
- Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
- Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
- Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
- Validate Findings: Distinguish true positives from false positives through contextual analysis.
- Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
- Document and Report: Record findings, update detection rules, and recommend response actions.
Key Concepts
| Concept | Description |
|---|---|
| T1071 | Application Layer Protocol |
| T1095 | Non-Application Layer Protocol |
| T1571 | Non-Standard Port |
Tools & Systems
| Tool | Purpose |
|---|---|
| CrowdStrike Falcon | EDR telemetry and threat detection |
| Microsoft Defender for Endpoint | Advanced hunting with KQL |
| Splunk Enterprise | SIEM log analysis with SPL queries |
| Elastic Security | Detection rules and investigation timeline |
| Sysmon | Detailed Windows event monitoring |
| Velociraptor | Endpoint artifact collection and hunting |
| Sigma Rules | Cross-platform detection rule format |
Common Scenarios
- Scenario 1: Backdoor communicating to C2 on non-standard port
- Scenario 2: Data exfiltration over DNS to attacker nameserver
- Scenario 3: Compromised host scanning internal network
- Scenario 4: Cryptominer connecting to mining pool
Output Format
Hunt ID: TH-HUNTIN-[DATE]-[SEQ]
Technique: T1071
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]
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