🛡️ Sherlocked Security – Operational Threat Hunting

Hunt Down Threats Lurking in Your Network Before They Strike

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📄 1. Statement of Work (SOW)

Service Name: Operational Threat Hunting
Client Type: Enterprises, SOC Teams, MSSPs, BFSI, Healthcare, Government
Service Model: Human-Driven + AI-Assisted Threat Hunting
Compliance Coverage: MITRE ATT&CK, ISO 27001, NIST 800-53, SOC 2
Hunting Types:

• Endpoint-Based (EDR Logs, Sysmon)
• Network-Based (DNS, Proxy, NetFlow)
• Identity-Based (AAD, IAM Logs)
• Cloud & SaaS Hunting

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🧠 2. Our Approach (with Visual)

🔹 Hypothesis-Driven Investigations
🔹 Log-Centric, MITRE-Mapped Techniques
🔹 Detection Without Dependence on Alerts

generate one Picture with AI with color code below

[Kickoff & Scope Setup] → [Log Source Integration] → [Hypothesis Formulation] → [TTP-Based Hunting Queries] → [Anomaly Detection & Pivoting] → [Findings Verification] → [Report & Advisory Delivery]

Color Code:

• Discovery: #064d52
• Hunting & Detection: #8b0505
• Reporting & Closure: #0f5c5a

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🧪 3. Methodology (with Visual)

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[Client Onboarding] → [Data Source Integration] → [Threat Hypothesis Building] → [Hunt Query Development] → [Execution in SIEM/EDR/Cloud] → [Anomaly Detection & Pivoting] → [Manual Triaging & Context Enrichment] → [Report Drafting] → [Client Walkthrough + Advisory]

Visual Color Flow:

• 🔹 Blue (Planning & Setup: #064d52)
• 🔸 Red (Hunting & Pivoting: #8b0505)
• ✅ Green (Reporting & Advisory: #0f5c5a)

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📦 4. Deliverables to the Client

1. ✅ Threat Hypotheses & Hunt Plan Document
2. 🧾 Daily Hunt Logs & Investigation Notes
3. 🧭 MITRE ATT&CK Mapping Matrix
4. 📘 Threat Hunt Report including:
   • Objective & Hypothesis
   • Data Sources Used
   • Query Techniques & TTPs
   • Findings with IOC/IOA Details
   • Risk and Exposure Analysis
   • Recommendations & Preventive Controls
   • References
5. 📊 Visualization of Detection Paths
6. 📽️ Live Debrief of Hunting Results
7. 🧑‍💻 Detection Rule Engineering Guidance
8. 🔁 Revalidation Hunt (Optional)
9. 🎓 Threat Hunt Certification (Optional)

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🤝 5. What We Need from You (Client Requirements)

• ✅ Log Source Details (EDR, SIEM, Cloud, DNS, etc.)
• ✅ List of Prior Incidents or Areas of Concern
• ✅ Access to required consoles/tools (read-only)
• ✅ Point-of-contact for SOC or Infra team
• ✅ Authentication credentials (MFA-enabled, if needed)
• ✅ SLA for advisory follow-ups

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🧰 6. Tools & Technology Stack

• 🧠 MITRE ATT&CK Navigator
• 🔍 SIEM Platforms (Splunk, Sentinel, QRadar, Elastic)
• 🖥️ EDRs (CrowdStrike, Carbon Black, Defender for Endpoint)
• ☁️ Cloud Logs (CloudTrail, GCP Audit, Azure AD)
• 💬 Threat Intelligence Plugins
• 🛠️ Jupyter Notebooks, Sigma Rules, KQL/SPL/YARA
• 📊 Graph Analysis Tools (Maltego, Timesketch)

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🚀 7. Engagement Lifecycle (Lead → Closure)

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1. Inquiry & Scope Discussion 2. NDA + Tool Access Sharing 3. Data Source Integration 4. Hypothesis Definition 5. Hunt Query Design 6. Execution & Detection 7. Investigation & Triaging 8. Report Drafting & Walkthrough 9. Optional Detection Engineering

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🌟 8. Why Sherlocked Security? (Our USP)

Feature	Sherlocked Advantage
🎯 Hypothesis-Driven Approach	Goes beyond alert-based detection
🧠 MITRE-Mapped Hunting	Standardized across all techniques
📘 Hunt Logs & Evidence Trail	Transparent and analyst-reviewed
🔁 Optional Rehunt Included	For validation or tracking evasions
⚙️ Detection Engineering	Support to turn findings into rules

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📚 9. Real-World Case Studies

🔥 Persistent Beaconing in Cloud Workloads

Issue: Low-noise C2 traffic hidden in HTTP 200 responses
Approach:

• CloudTrail + VPC Flow + custom YARA hunts
  Impact:
• Detected misconfigured container calling known malware domain
• Isolated instance, applied stricter egress policies

🔐 Privilege Escalation via Misused IAM Roles

Client: SaaS Product Company
Findings:

• Lateral movement via role assumption in AWS
  Action Taken:
• Alert created for abnormal role usage
• IAM policy redesign + CloudTrail detection logic added

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🛡️ 10. SOP – Standard Operating Procedure

1. Kickoff & Log Source Review
2. Identify risk areas and threat actors
3. Build threat hypotheses
4. Integrate logs and prepare hunt stack
5. Execute queries and pivot around anomalies
6. Validate leads manually
7. Document findings and recommend fixes
8. Debrief with client
9. Optional: Add detection rules
10. Continuous advisory for 30 days post-hunt

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📋 11. Sample Threat Hunt Hypotheses (Preview)

1. Define hypotheses based on recent threat intelligence.
2. Identify internal data sources (logs, EDR, flows).
3. Use TTP-based detection techniques.
4. Correlate with IOCs and behavioral anomalies.
5. Investigate lateral movement and persistence.
6. Analyze malware artifacts or implants.
7. Validate findings with system owners.
8. Document hunt outcomes and detections.
9. Recommend detection and hardening improvements.
10. Feed findings back into detection engineering.

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