How This Briefing Works
This report opens with key findings, then maps the gaps between what Geniusmonkey discloses and what BLACKOUT observed at runtime. From there: what it means for your organization, what to do about it, and the detection data and evidence underneath.
Key Findings
Pre-Consent Activity
Geniusmonkey was observed loading and executing before user consent was obtained on 4% of sites where it was detected.
Claims vs. Observed Behavior
consent
“Unknown - requires claims extraction via CDT”
Deploys behavioral biometrics + consent bypass + tag manager persistence
What This Means For You
What To Do About It
Role-specific actions based on observed behavior
If You Use Geniusmonkey
- →Remove Geniusmonkey from tag manager immediately - tag-based deployment prevents consent enforcement
- →Request deletion of all behavioral biometric data
- →Audit tag manager for other vendors using similar evasion architecture
If You're Evaluating Geniusmonkey
- →Reject any vendor using tag manager deployment for tracking - requires direct script control for consent compliance
- →Demand written confirmation: no behavioral biometrics, no pre-consent loading, no tag manager deployment
- →Evaluate privacy-safe ad alternatives: contextual targeting, consent-first programmatic, direct publisher relationships without behavioral profiling
Negotiation Leverage
- →Geniusmonkey deploys three-layer consent violation: pre-consent loading + behavioral biometrics + tag manager persistence
- →Tag manager deployment makes consent compliance impossible - vendor can modify tracking behavior server-side without customer control
- →Behavioral biometrics trigger GDPR Article 9 special category requirements - explicit consent mandatory, pre-consent capture creates heightened penalties
- →Vendor must eliminate all three violation layers or accept 100% liability for compounded regulatory enforcement
Runtime Detections
BLACKOUT observed this vendor's JavaScript executing in a live browser and classified each hostile behavior using our BTI-C (Behavioral Threat Intelligence — Capability) taxonomy. These are not theoretical risks — each code below was triggered by something we watched this vendor's code actually do.
Keystroke/mouse tracking
Impact: Scroll depth, mouse movements, and timing patterns create behavioral fingerprints. GDPR Article 9 classifies biometric data as special category requiring explicit consent - pre-consent capture creates heightened penalty exposure.
Ignoring CMP signals
Impact: Tracking initialization before consent creates strict liability under GDPR Article 7 and ePrivacy Directive. Combined with biometric capture, elevates to special category data violation with increased regulatory priority.
Container/loader (neutral)
Impact: Deployment via tag manager (GTM/Tealium) enables vendor to modify tracking behavior server-side without customer visibility or control. Creates ongoing compliance risk - customer cannot verify consent-first loading even after configuration.
IOC Manifest
Indicators of compromise across 4 categories. Use for detection rules, CSP policies, or Pi-hole blocklists.
Ecosystem & Supply Chain
Evidence Artifacts
Artifacts collected during analysis, available with evidence-tier access.
Complete network capture with all requests and responses
144 detection signatures across scripts, domains, cookies, and network endpoints