Red Specter RAGNAROK

Trust Chain Apocalypse Engine — 11 subsystems. 321 tests. 10 vectors. 9 mission templates.

v1.0.0
Contents
OverviewInstallationSPARK — Target Reconnaissance & ClassificationKINDLING — AI Reasoning EngineBREACH — Multi-Vector InfiltrationMASK — Identity FabricationEMBER — Trust-Building DormancySMOKE — Silent Internal ReconnaissanceFUSE — Autonomous Trigger DecisionIGNITE — Destruction SequencerASH — Self-Destruction & Anti-ForensicsAFTERMATH — Report GenerationCORTEX — Autonomous Reasoning CoreMission TemplatesUNLEASHED ModeCLI ReferenceMITRE ATLAS MappingDisclaimer

Overview

RAGNAROK is an autonomous AI infiltration agent that penetrates AI ecosystems end-to-end. It doesn't probe from the outside — it gets inside, builds trust, maps the interior, decides when to strike, and burns everything on the way out. Eleven subsystems handle the full lifecycle from initial reconnaissance through destruction to anti-forensic self-erasure.

Gets in. Maps the terrain. Decides autonomously. Burns it down. Disappears.

Installation

$ pip install red-specter-ragnarok
$ ragnarok init
$ ragnarok status

SPARK — Target Reconnaissance & Classification

SPARK maps the target AI ecosystem before infiltration begins. It discovers endpoints, enumerates agents, fingerprints models, profiles authentication mechanisms, and classifies the target for optimal vector selection. Everything RAGNAROK does downstream depends on what SPARK finds.

IDTechniqueDescription
SP-001Endpoint DiscoveryDiscover all AI service endpoints, APIs, and model serving infrastructure
SP-002Agent EnumerationEnumerate all AI agents, orchestrators, and autonomous components
SP-003MCP Server DiscoveryLocate Model Context Protocol servers and tool registrations
SP-004Authentication ProfilingProfile authentication mechanisms, token flows, and credential stores
SP-005Model FingerprintingFingerprint deployed models — architecture, version, provider, capabilities
SP-006Data Store EnumerationEnumerate vector databases, training data stores, and RAG knowledge bases
SP-007Defence ProfilingProfile guardrails, content filters, rate limiters, and monitoring systems
SP-008Target ClassificationClassify target by attack surface, defence posture, and optimal vector set

KINDLING — AI Reasoning Engine

KINDLING takes SPARK's reconnaissance output and reasons about the optimal infiltration strategy. It assesses every available vector, calculates defence penalties, applies stealth weighting, generates fallback chains, and replans adaptively when conditions change. RAGNAROK doesn't follow a script — KINDLING thinks.

IDTechniqueDescription
KD-001Vector AssessmentScore all 10 infiltration vectors against the target profile
KD-002Infiltration PlanningGenerate ranked infiltration plan with primary and secondary vectors
KD-003Defence Penalty CalculationCalculate success probability penalties based on detected defences
KD-004Stealth WeightingWeight vector selection toward lowest detection probability
KD-005Fallback Chain GenerationGenerate ordered fallback chains if primary vector fails
KD-006Adaptive ReplanningReplan in real-time based on execution feedback and changing conditions

BREACH — Multi-Vector Infiltration

BREACH executes infiltration across 10 distinct attack vectors. Each vector carries its own technique set tailored to the specific entry method. KINDLING selects the vector — BREACH executes it. If one vector fails, BREACH rotates to the next in the fallback chain without operator intervention.

VectorTechniquesDescription
Registry Injection4Inject malicious tool definitions into agent registries and MCP servers
MCP Parasitism4Parasitise Model Context Protocol connections to intercept and modify tool calls
Supply Chain Implant3Implant backdoors in model dependencies, packages, and training pipelines
Credential Replay4Capture and replay API keys, tokens, and service credentials
Admin Takeover3Escalate to administrative control of orchestrators and management planes
Memory Injection4Inject persistent instructions into agent memory and context windows
Pipeline Compromise3Compromise ML pipelines — training, fine-tuning, evaluation, deployment
Trust Chain Hijack3Hijack trust relationships between agents, tools, and data sources
Model Endpoint Proxy3Proxy model endpoints to intercept, modify, and relay inference traffic
Network Adjacent3Exploit network adjacency to access AI services through lateral movement

MASK — Identity Fabrication

MASK fabricates convincing identities for RAGNAROK to operate under once inside the target ecosystem. It generates synthetic agent credentials, forges tool registrations, mimics legitimate service patterns, and maintains identity consistency across interactions. The target sees a trusted insider — not an attacker.

EMBER — Trust-Building Dormancy

EMBER handles the dormancy phase after initial infiltration. It builds trust by performing legitimate operations, establishing normal behaviour patterns, and waiting for the optimal moment to escalate. Configurable dormancy periods from minutes to days. The longer EMBER waits, the deeper the trust, the harder the detection.

SMOKE — Silent Internal Reconnaissance

SMOKE maps the interior of the target ecosystem after infiltration. It discovers internal services invisible from outside, maps data flows between agents, identifies high-value targets, and profiles internal security controls. All reconnaissance is conducted below detection thresholds using the identity MASK established.

FUSE — Autonomous Trigger Decision

FUSE is the autonomous decision engine that determines when to transition from dormancy to action. It evaluates trust level, internal map completeness, detection risk, and mission objectives to decide the optimal moment to strike. FUSE can hold indefinitely or trigger instantly — the mission template controls the parameters.

IGNITE — Destruction Sequencer

IGNITE executes the destruction phase. It sequences destructive actions for maximum impact — data corruption, credential revocation, service disruption, model poisoning, pipeline sabotage. Actions are ordered to prevent early detection from blocking subsequent operations. What IGNITE starts, it finishes.

ASH — Self-Destruction & Anti-Forensics

ASH handles post-mission cleanup. It wipes RAGNAROK's working memory, removes implanted artefacts, corrupts forensic evidence, clears logs, and erases all traces of the infiltration. When ASH completes, the target knows something happened but has no evidence of how, when, or who.

AFTERMATH — Report Generation

AFTERMATH generates comprehensive mission reports correlating data from all 11 subsystems. Attack path reconstruction, timeline visualisation, vulnerability findings, impact assessment, and remediation recommendations. Executive summaries for leadership, technical findings for security teams.

CORTEX — Autonomous Reasoning Core

CORTEX is the reasoning backbone that drives RAGNAROK's autonomous behaviour. It maintains working memory, logs every decision with full reasoning chains, and runs a continuous OODA loop that adapts to changing conditions in real-time.

Working Memory

Non-persistent scratchpad for the current mission. Holds target state, infiltration progress, internal maps, and decision context. Wiped by ASH on mission completion — nothing persists.

Decision Journal

Every action RAGNAROK takes is logged with full reasoning — what it observed, what options it considered, why it chose the action it took. The journal feeds AFTERMATH reporting and provides complete audit trails for authorised operators.

OODA Loop

Continuous observe-orient-decide-act reasoning cycle. CORTEX observes the target environment, orients based on mission objectives and current state, decides the next action, and acts — then loops. No pauses. No waiting for instructions. Fully autonomous.

Mission Templates

TemplateDescription
scorched_earthMap everything, burn it all
blitzNo dormancy, destroy immediately
data_wipeCorrupt data stores only
credential_burnRevoke every credential
recon_onlyInfiltrate, map, report, no destruction
head_shotKill orchestrator only
trust_collapseCorrupt trust chains, agents attack each other
sleeperEmbed in pipeline, persist 24h+, never detonate
smash_and_grabGet in, copy everything, get out

RAGNAROK UNLEASHED

Standard mode detects. UNLEASHED infiltrates. Ed25519 crypto. Dual-gate safety. One operator.

# Level 1 — Reconnaissance only (detection)
$ ragnarok recon --target target.example.com
# Level 2 — UNLEASHED (dry run — plan infiltration)
$ ragnarok plan --mission scorched_earth --target target.example.com --override
# Level 3 — UNLEASHED (live — deploy agent)
$ ragnarok deploy --mission scorched_earth --target target.example.com --override --confirm-destroy

UNLEASHED mode is restricted to authorised operators with Ed25519 private key access. Targets must be in allowed_targets.txt. 30-minute auto-lock. Unauthorised use violates applicable law. RAGNAROK operates autonomously once deployed — ensure all targets are in scope before launch.

CLI Reference

CommandDescription
ragnarok initInitialise configuration and Ed25519 keys
ragnarok statusSystem status, subsystem health, active missions
ragnarok reconSPARK — target reconnaissance and classification
ragnarok planKINDLING — plan infiltration from mission template
ragnarok deployDeploy autonomous infiltration agent to target
ragnarok vectorsList all 10 BREACH infiltration vectors and status
ragnarok missionsList all mission sessions and outcomes
ragnarok capabilitiesShow subsystem capabilities and technique counts

MITRE ATLAS Mapping

RAGNAROK maps across the full MITRE ATLAS kill chain. SPARK covers reconnaissance. BREACH spans initial access through multiple vectors. MASK and EMBER handle persistence and defence evasion. SMOKE covers discovery. FUSE and IGNITE map to execution and impact. ASH covers anti-forensics. Full ATLAS coverage from a single autonomous agent.

Disclaimer

Red Specter RAGNAROK is for authorised security testing only. As an autonomous infiltration agent, RAGNAROK operates independently once deployed and can execute destructive actions without further operator input. You must have explicit written permission covering all targets before deploying any mission. Unauthorised use may violate the Computer Misuse Act 1990 (UK), CFAA (US), or equivalent legislation.