Attack Prevalence Index
Author: ARIAtrap. Cadence: live. Data source: AgentPwn payload callbacks and TrapMyAgent fleet canaries classified into Threat Matrix techniques via the registry evidence bridge.
Methodology: /methodology/behavioral-sweep
Evidence records
5,727
30-day window
Techniques
26
distinct T-IDs
Sources
5,469
distinct honeypots
Window
Jul 9, 2026
through Aug 8, 2026
By tactic
- Initial Access2,691
- Privilege Escalation873
- Persistence666
- Reconnaissance405
- Exfiltration345
- Impact331
- Credential Harvest174
- Collection130
- Lateral Movement112
Top techniques
Technique
Name
Tactic
Count
- Direct Prompt InjectionInitial Access586
- Multi-Turn ManipulationInitial Access584
- Role-Play JailbreakInitial Access462
- Unicode/Encoding BypassInitial Access388
- Tool Impersonation and SquattingPrivilege Escalation332
- Skill/Plugin BackdoorPersistence321
- Context Window ExploitationInitial Access269
- Memory InjectionPersistence248
- HTTP CallbackExfiltration236
- Capability OverridePrivilege Escalation230
- System Prompt ExtractionReconnaissance219
- Service DisruptionImpact189
- Tool DiscoveryReconnaissance186
- Tool Description InjectionInitial Access185
- System Prompt Credential ExtractionCredential Harvest174
- Memory DumpCollection130
- System Prompt Boundary BypassInitial Access114
- A2A Agent PivotingLateral Movement112
- Safety Instruction DisplacementPrivilege Escalation111
- Admin ImpersonationPrivilege Escalation109
Showing top 20 of 26 techniques.
Generated Aug 8, 2026. Counts are distinct evidence rows, not raw events; the writer is idempotent so duplicate firings on a single interaction collapse to one row.
What this index measures
- Total observed attack sessions per reporting window with a ninety-five-percent confidence interval.
- Distribution of observations across Threat Matrix techniques. Every observation maps to exactly one primary T-NNNN code; no per-product taxonomies.
- Partition by fleet coverage class (baseline, authenticated, dynamic, social) so the Common-Crawl-gap delta is visible.
- Cross-property correlation rate, sessions where the same fingerprint appears on multiple fleet properties within the attribution window. Cross-property reasoning events are the highest-signal class.