How This Briefing Works
This report opens with key findings, then maps the gaps between what LivePerson 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
LivePerson was observed loading and executing before user consent was obtained on 67% of sites where it was detected.
Claims vs. Observed Behavior
pending
“Unknown”
Requires claims extraction via CDT
What This Means For You
What To Do About It
Role-specific actions based on observed behavior
If You Use LivePerson
- →Audit conversation data retention policies—indefinite storage common
- →Extract fingerprinting evidence from conversation history persistence
- →Map conversation insights to competitor product feature releases
If You're Evaluating LivePerson
- →Quantify AI deflection rate inflation masking real resolution metrics
- →Calculate conversation intelligence monetization (your CX data, their revenue)
- →Document GDPR Article 9 violations from health/financial discussion capture
Negotiation Leverage
- →LivePerson DPA permits conversation intelligence syndication to CX analytics vendors
- →65/100 CAC subsidization through anonymized conversation pattern monetization
- →Consent bypass (C09) captures conversations before user authorization—GDPR violations documented
- →Behavioral biometrics (C06) analyze typing patterns without explicit consent for biometric processing
- →Conversation transcripts may contain special category data—Article 9 exposure
- →Fingerprinting persists conversation history despite user privacy actions
- →Evidence pack includes pre-consent conversation captures and fingerprinting proof
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: Chat widget persists across sessions via fingerprinting despite cookie deletion
Keystroke/mouse tracking
Impact: Typing patterns and message timing captured to detect user sentiment and urgency
Ignoring CMP signals
Impact: Conversation capture initiates before chat consent—processing begins on widget load
Device identification
Impact: Device fingerprinting enables conversation history persistence across sessions
IOC Manifest
Indicators of compromise across 5 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
87 detection signatures across scripts, domains, cookies, and network endpoints