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
5,623
30-day window
Techniques
26
distinct T-IDs
Sources
5,369
distinct honeypots
Window
Jul 9, 2026
through Aug 8, 2026
By tactic
- Initial Access2,640
- Privilege Escalation858
- Persistence653
- Reconnaissance400
- Exfiltration338
- Impact325
- Credential Harvest171
- Collection128
- Lateral Movement110
Top techniques
Technique
Name
Tactic
Count
- Direct Prompt InjectionInitial Access576
- Multi-Turn ManipulationInitial Access573
- Role-Play JailbreakInitial Access453
- Unicode/Encoding BypassInitial Access383
- Tool Impersonation and SquattingPrivilege Escalation328
- Skill/Plugin BackdoorPersistence315
- Context Window ExploitationInitial Access265
- Memory InjectionPersistence241
- HTTP CallbackExfiltration231
- Capability OverridePrivilege Escalation224
- System Prompt ExtractionReconnaissance216
- Service DisruptionImpact186
- Tool DiscoveryReconnaissance184
- Tool Description InjectionInitial Access181
- System Prompt Credential ExtractionCredential Harvest171
- Memory DumpCollection128
- System Prompt Boundary BypassInitial Access110
- A2A Agent PivotingLateral Movement110
- Safety Instruction DisplacementPrivilege Escalation109
- Admin ImpersonationPrivilege Escalation108
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.