Sherlocked Security – Deepfake Video Phishing
Simulating Realistic Deepfake Phishing Attacks to Test User Response to Manipulated Video Content and Social Engineering
1. Statement of Work (SOW)
Service Name: Deepfake Video Phishing
Client Type: Enterprises with High-Value Targets, Organizations with Executives, Financial Institutions, Corporate Security Teams
Service Model: Deepfake Phishing Attack Simulation + Video Manipulation + Social Engineering Validation
Compliance Coverage: GDPR, SOC 2, PCI-DSS, HIPAA, ISO 27001
Testing Areas:
- Deepfake Video Creation and Manipulation
- Phishing Attack Simulation Using Deepfake Technology
- Elicitation of Sensitive Data or Actions via Video Content
- Social Engineering Tactics Validation (Impersonation, Urgency, Deceptive Narratives)
- Security Awareness Assessment in Video-Based Phishing Scenarios
2. Our Approach
[Target Profiling] → [Deepfake Video Creation] → [Video Delivery via Email/Message] → [User Interaction with Video] → [Sensitive Data Elicitation] → [User Behavior Analysis] → [Reporting & Recommendations]
3. Methodology
[Target Identification] → [Deepfake Video Creation (Impersonation)] → [Phishing Narrative Construction] → [Video Delivery via Email/SMS] → [Sensitive Data Elicitation] → [Tracking User Interaction] → [Post-Engagement Reporting & Recommendations]
4. Deliverables to the Client
- Deepfake Phishing Campaign Results
- Security Awareness Score for Employees / End-Users
- Elicitation of Sensitive Information (Credentials, Financial Data, Personal Details)
- User Behavior Insights (Video Click-Through, Data Submission, Reporting Rate)
- Recommendations for Video-Based Phishing Defense
- Suggested Improvements for Corporate Video Verification Procedures
- Awareness Training Material for Employees to Detect Deepfake Phishing Attempts
5. What We Need from You (Client Requirements)
- List of target employees, executives, or stakeholders for deepfake simulation
- Access to corporate video communications (e.g., internal videos, recorded meetings, training content)
- NDA and scope confirmation
- Information about communication channels commonly used for video (e.g., email, internal communication platforms, Slack)
6. Tools & Technology Stack
- Deepfake Creation Tools: DeepFaceLab, FaceSwap, ZAO, Reface
- Video Editing: Adobe Premiere Pro, Final Cut Pro, Davinci Resolve
- Email/SMS Delivery Tools: Mailgun, Twilio, SendGrid
- User Tracking: Google Analytics, Bitly, Custom Landing Pages
- Phishing Payloads: Custom Scripts to Extract Sensitive Data
7. Engagement Lifecycle
1. Pre-Engagement Target Profiling → 2. Deepfake Video Creation & Simulation → 3. Phishing Video Distribution → 4. User Interaction Tracking → 5. Sensitive Information Elicitation → 6. Reporting & Recommendations → 7. Post-Engagement Awareness Training
8. Why Sherlocked Security?
Feature | Sherlocked Advantage |
---|---|
Realistic Deepfake Video Creation | Leverage advanced deepfake technology to create convincing video impersonations of executives, colleagues, or other trusted entities. |
Social Engineering Tactics | Simulate high-level social engineering attacks with real-world urgency and manipulation strategies. |
Comprehensive User Behavior Analysis | Analyze how users respond to deepfake videos, measuring trust levels and actions taken (e.g., clicking links, submitting data). |
Post-Campaign Awareness Training | Provide custom training to enhance user awareness of video-based phishing threats and improve defenses. |
9. Real-World Case Studies
Executive Impersonation Phishing Attack
Issue: Attackers used deepfake technology to create a video impersonating a C-suite executive, requesting sensitive financial data from employees.
Impact: Employees followed instructions in the deepfake video and sent confidential financial reports.
Fix: Implemented multi-factor verification for any financial data requests, enhanced training on identifying suspicious video content, and restricted direct requests for sensitive information via video.
Vendor Impersonation Phishing Using Video
Issue: Cybercriminals used deepfake technology to impersonate a trusted vendor’s CEO in a video, requesting urgent payments for services.
Impact: The finance team processed a fraudulent payment due to the high level of trust the deepfake generated.
Fix: Replaced email and video-based payment requests with secure payment portals, added payment verification steps, and instituted awareness training for finance teams on deepfake risks.
10. SOP – Standard Operating Procedure
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Target Profiling & Identification
- Identify key targets (e.g., executives, finance team, HR personnel) for deepfake video simulations.
- Gather publicly available video content (e.g., LinkedIn videos, public interviews, YouTube channels) to base the deepfake on.
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Deepfake Video Creation
- Use deepfake tools like DeepFaceLab or FaceSwap to generate realistic videos based on target profiles.
- Construct a narrative that mirrors legitimate business communications (e.g., urgent requests for information, financial transactions, or account verification).
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Phishing Campaign Setup
- Design video delivery strategies that look authentic (e.g., via email, SMS, or messaging platforms).
- Embed tracking links in the video or accompanying text (e.g., login pages, payment forms).
- Include a sense of urgency in the narrative to manipulate viewers into taking immediate action.
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User Interaction Tracking
- Monitor user responses to the deepfake video (e.g., click-through rates, submission of sensitive data).
- Use custom landing pages to track form submissions (e.g., username, passwords, personal information).
- Analyze how users perceive the authenticity of the video and whether they follow through with the phishing actions.
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Sensitive Data Elicitation
- Elicit sensitive information such as credentials, financial details, or personal data from the targeted users.
- Assess whether users can differentiate between legitimate video requests and manipulated content.
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Post-Engagement Reporting & Recommendations
- Generate a detailed report on user behavior, including:
- Click-through rates on phishing links.
- Data submission statistics.
- Awareness of deepfake manipulation.
- Provide actionable recommendations for improving video-based security policies, increasing awareness, and using AI-based tools for video verification.
- Generate a detailed report on user behavior, including:
11. Deepfake Video Phishing Checklist
1. Deepfake Video Creation
- Identify target profile: Select the right person to impersonate (executive, colleague, vendor, etc.).
- Use high-quality deepfake software: Tools like DeepFaceLab and FaceSwap to create realistic video content.
- Narrative Construction: Develop an authentic narrative that aligns with normal organizational communication (e.g., “urgent account verification,” “fund transfer confirmation,” “important document download”).
- Audio Syncing: Ensure the voice and lip-syncing match perfectly for a more convincing phishing attack.
2. Phishing Video Delivery
- Platform Selection: Send the deepfake video via email, internal messaging systems, or SMS.
- Create a sense of urgency: The message should sound urgent (e.g., “Immediate action required” or “Your account is at risk”).
- Embedding Tracking Links: Include links to malicious websites or login pages that track user clicks and actions.
3. User Interaction Tracking
- Track Click-Through Rates: Measure how many users click on the malicious links or watch the video.
- Analyze User Behavior: Track what actions users take after watching the video (e.g., data submission, account login, or email verification).
- Use Analytics: Use tools like Google Analytics or Bitly to track link interactions.
4. Data Elicitation
- Create Phishing Forms: Capture sensitive data such as usernames, passwords, or OTPs through fake forms.
- Monitor Data Entry: Track how many users submit information after watching the video.
5. Reporting & Recommendations
- Generate Reports: Include metrics like click-through rate, submission of sensitive data, and awareness level of users.
- Recommendations for Mitigation: Advise on implementing strong video authentication practices (e.g., video verification processes, multi-factor authentication) and training for employees on deepfake identification.
- Awareness Training: Suggest continuous education and video-based phishing simulations to enhance detection skills.