⚡ Rapid Exploitation
Sudden violent surge from 0 to 90+ within 72 hours of disclosure, accompanied by mass automated botnet scanning.
Explore the 61 modeled cyber risk trajectories below. Filter by Inflection Point status (Critical Acceleration, Accelerating, Rising, Stable) or inspect the matching Canonical Archetype for each target system:
Cyber risk is not a frozen static score, but an evolving trajectory risk(t) subject to discrete accelerations Δrisk/Δt. This engine automatically detects critical inflection points and matches active vulnerabilities with historical trajectory archetypes.
Violent risk surge from 0 to 90+ within 72 hours, accompanied by automated botnet scanning.
Vulnerability remains dormant for months before high-value weaponization by APT actors.
High initial CVSS (9.8) but unrealistic attack preconditions or extremely rare configuration.
Exploitation developed by reverse-engineering the vendor's patch release (Patch Diffing).
Abrupt inflection upon CISA KEV catalog inscription, triggering binding patch mandates.
Cascading risk amplification propagated across thousands of downstream open-source libraries.
Stubborn unpatched internet exposure persisting for quarters after official patch release.
Rapid collapse of risk surface driven by automated updates or cloud-native hotpatches.
Hermes Trajectory Engine v2.0 (HTR-2.0) formalizes temporal cyber risk as a time-indexed vector:
risk(t) = f(HTS(t), EPSS(t), Maturity(t), KEV(t), Exposure(t))Where discrete acceleration is defined across consecutive observation checkpoints t_k and t_{k-1}:
Acceleration = (risk(t_k) - risk(t_{k-1})) / Δt| Inflection State | Condition | Operational Meaning |
|---|---|---|
| 🚨 Critical Acceleration | Δrisk ≥ +15, CISA KEV listing, or in-the-wild zero-day weaponization | Immediate emergency triage; automated containment playbooks activated. |
| ⚡ Accelerating | +9 ≤ Δrisk ≤ +14 or functional exploit script publication | Heightened weaponization velocity; patch scheduling moved forward. |
| 📈 Rising | +3 ≤ Δrisk ≤ +8 | Increasing reconnaissance or vendor confirmation; standard monitoring. |
| 🛡️ Stable | ` | Δrisk |
As specified in the Hermes Strategic Master Plan (Section 15.2), all cyber security events project onto 8 empirical families:
⚡ Rapid Exploitation
Sudden violent surge from 0 to 90+ within 72 hours of disclosure, accompanied by mass automated botnet scanning.
🕯️ Slow Burn
Vulnerability remains dormant for quarters before silent weaponization by specialized advanced persistent threats (APTs).
🔕 False Alarm
High initial CVSS score (e.g. 9.8) but mitigated by unrealistic prerequisites, zero public weaponization, or low EPSS (< 0.1%).
⏳ Delayed Exploitation
Weaponization surges 2 to 4 weeks post-patch publication, developed by reverse-engineering vendor binary diffs.
🚨 KEV Acceleration
Abrupt critical inflection triggered by inclusion in CISA KEV, mandating compliance deadlines across federal and enterprise networks.
📦 Supply-Chain Escalation
Cascading risk amplification propagating across hundreds of downstream libraries and containerized base images.
🧟 Long-Tail Persistence
Stubborn unpatched exposure on perimeter or IoT appliances surviving well past 90 days after fix availability.
📉 Patch-Induced Reduction
Rapid collapse in exposure surface powered by automated zero-downtime hotpatching and auto-update mechanisms.
Trajectory datasets are updated during each intelligence compilation and exported as static REST JSON endpoints:
# Fetch all active risk trajectoriescurl -s https://hermescodex.io/api/trajectories/index.json
# Fetch single trajectory with time curvecurl -s https://hermescodex.io/api/trajectories/TRAJ-CVE-2025-3248.json