How This Briefing Works
This dossier opens with key findings, then maps the gap between what Dstillery discloses and what BLACKOUT observed at runtime. From there: what it means for your organization, what to do about it, and the detection evidence underneath. BLACKOUT observes runtime browser behavior and cites the regulations that address each pattern — legal determinations are your counsel's call.
At a Glance
across 1 sites
vendor fires before consent
Briefing
Dstillery specializes in custom audience creation through deep behavioral tracking and data enrichment. The platform captures granular visitor behavior including mouse patterns, scroll depth, and session replays, then processes this data to build predictive audience segments that feed programmatic demand networks and competitor targeting campaigns.
What This Means For You
Customers visiting sites with Dstillery face behavioral tracking designed explicitly for external audience syndication. Behavioral data including interaction patterns, content engagement, scroll behavior, and session replays are captured and processed to assign visitors to custom audience segments. These segments are then sold to programmatic advertisers including direct competitors who target your qualified traffic using Dstillery-derived behavioral intelligence.
Risk Channel Breakdown
Custom audience data injection creates 25% signal corruption as Dstillery segments pollute first-party analytics with third-party enrichment data and predictive scores.
Audience segment syndication feeds visitor behavioral profiles to programmatic demand networks, creating 90% CAC subsidization as competitors bid on Dstillery-enriched custom audiences.
Expands attack surface
Session recording combined with consent bypass creates 100% legal tail risk through GDPR Article 6 violations and behavioral biometrics processing without adequate consent.
Threat Indicators
Runtime-observed (BTI-C)
Evasion infrastructure, auditor bypass
Keystroke/mouse tracking
Full session replay
Ignoring CMP signals
Device identification
Per-code narrative explanations of what each detected behavior means for your organization
Per-code evidence with full attribution chain, severity rankings, and consequence narratives See pricing →
Claims vs. Reality
BLACKOUT analyzed Dstillery's public claims against observed runtime behavior and identified 1 contradiction.
Full claim-vs-reality gap analysis with claim text, observed behavior, severity, regulatory citations (GDPR, CCPA, ePrivacy), and evidence pointers per gap See pricing →
What To Do
5 for current users · 5 for evaluators
contractual leverage points
Role-specific actions (security / legal / marketing / procurement), full negotiation brief with contractual language, and BTI-code-specific consequences See pricing →
Supply Chain & Pairings
Full supply-chain mapping (loads / loaded-by lists with vendor identities) and the undisclosed-subprocessor list with observation evidence See pricing →