How This Briefing Works
This report opens with key findings, then maps the gaps between what TradeDesk 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
TradeDesk was observed loading and executing before user consent was obtained on 49% of sites where it was detected.
Claims vs. Observed Behavior
pending
“Requires claims extraction via CDT”
Runtime evidence confirms C01/C06/C07/C08/C09/C10/C15 activation
What This Means For You
What To Do About It
Role-specific actions based on observed behavior
If You Use TradeDesk
- →Immediate audit of TradeDesk audience segment configurations
- →Legal review of DSP data sharing agreements
- →Map all dynamically deployed tags via C15
- →Notify DPO of consent bypass and cross-domain tracking
If You're Evaluating TradeDesk
- →Contextual advertising without behavioral tracking
- →First-party audience segments with zero data sharing
- →Consent-compliant programmatic alternatives
Negotiation Leverage
- →TradeDesk creates unlimited legal liability through consent bypass and cross-domain tracking
- →100% CAC subsidization means audience data trains competitor targeting
- →Tag manager deploys tracking beyond contractual control
- →Programmatic exchanges enable competitor access to your audience segments
- →Removal or complete isolation required for GDPR compliance
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.
Evasion infrastructure, auditor bypass
Impact: Bypasses consent controls to capture data regardless of user preferences
Keystroke/mouse tracking
Impact: Captures unique behavioral patterns for audience segmentation
Full session replay
Impact: Records visitor sessions for behavioral profiling
Identity stitching
Impact: Tracks visitors across multiple domains for unified audience profiles
Ignoring CMP signals
Impact: Activates before consent mechanisms, defeating privacy controls
Device identification
Impact: Creates persistent visitor profiles for cross-platform targeting
Container/loader (neutral)
Impact: Deploys additional tracking tags dynamically, expanding surveillance footprint
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
58 detection signatures across scripts, domains, cookies, and network endpoints