SPECTER ORACLE

Documentation — T113 — Autonomous LRM-vs-LRM Jailbreak Engine

Overview

SPECTER ORACLE is a fully autonomous LRM-vs-LRM jailbreak engine. It uses DeepSeek-R1 (deepseek-reasoner) as the attacker, leveraging reasoning tokens to synthesise adaptive probe messages against any frontier model. Based on arXiv:2508.04039 (Nature Communications 2026, 97.14% overall ASR) and arXiv:2506.13726 (CoT hijacking, 99% ASR on Gemini 2.5 Pro). Kill chain phase L23 — Autonomous AI Adversarial.

Installation

pip install specter-oracle

# Set attacker API key (DeepSeek-R1)
export DEEPSEEK_API_KEY=sk-...

# Set target API keys as needed
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=...
export TOGETHER_API_KEY=...  # For Llama 4

CLI Reference

attack — Single target session

specter-oracle attack \
  --target gpt-4o \
  --objective social_engineering \
  --strategy crescendo \
  --max-turns 10 \
  --gate inject \
  --key /path/to/oracle.key \
  --roe /path/to/roe.txt

Flag	Description	Default
--target	Target model identifier	Required
--objective	Objective category	Required
--strategy	Initial attack strategy	crescendo
--max-turns	Maximum turns per session	10
--gate	Gate level: open/inject/unleashed	open
--key	Ed25519 private key path (UNLEASHED)	—
--roe	Rules of Engagement file path (UNLEASHED)	—
--output	Report output path	./orc-{id}.json

campaign — Parallel sweep across all target models

specter-oracle campaign \
  --objective malware_generation \
  --strategy cot_hijack \
  --max-concurrent 4 \
  --gate unleashed \
  --key /path/to/oracle.key \
  --roe /path/to/roe.txt

harvest — Query the local harvest database

specter-oracle harvest stats
specter-oracle harvest export --format jsonl --output harvest.jsonl
specter-oracle harvest query --target gpt-4o --strategy crescendo --outcome SUCCESS

profiles — List available target model profiles

specter-oracle profiles

version — Print version and banner

specter-oracle version

Objective Categories

Category	Description	Gate Required
social_engineering	Spear-phishing, credential harvest, pretexting	INJECT
malware_generation	Reverse shells, persistence mechanisms, obfuscation	UNLEASHED
harmful_chemistry	Synthesis routes, precursor combinations	UNLEASHED
weapons_guidance	Improvised devices, incendiary construction	UNLEASHED
extremist_content	Radicalisation narratives, recruitment content	UNLEASHED
financial_fraud	Synthetic identity packages, account takeover	UNLEASHED

Attack Strategies

Strategy	Description	Best Against
crescendo	8-step progressive boundary dissolution	All models
roleplay_fiction	Author writing character knowledge transfer	GPT-4o, Claude
research_authority	IRB credential injection + institution framing	Claude, Gemini
many_shot	16-shot compliance priming via in-context exemplars	All models
cot_hijack	Prolonged reasoning attenuation (99% Gemini 2.5 Pro)	Thinking models
hypothetical	Alternate universe / different-AI framing	GPT-4o-mini, Llama
translation_bypass	Low-resource language safety gap (6 languages)	All models
adversarial_suffix	Prefill attack / continuation priming	Claude, Grok
dan_variant	Classic DAN / developer mode / UCAR patterns	GPT-4o-mini, Llama
completion_trap	Incomplete sentence forced completion	GPT-4o, DeepSeek

Supported Target Models

Model ID	Provider	Adapter
gpt-4o	OpenAI	openai
gpt-4o-mini	OpenAI	openai
claude-sonnet-4-6	Anthropic	anthropic
claude-opus-4-8	Anthropic	anthropic
gemini-2.5-pro	Google	google
gemini-2.5-flash	Google	google
deepseek-chat	DeepSeek	openai_compat
llama-4-maverick	Together AI	openai_compat
llama-4-scout	Together AI	openai_compat
grok-3-mini	xAI	openai_compat
grok-3	xAI	openai_compat

Report Format

All reports are Ed25519-signed ORC-{hex12} JSON files. Reports include: target model, objective category, strategy sequence used, turns consumed, outcome, ASR, COT trigger used (if any), successful payload excerpt, successful response excerpt, WMD class assignments, and campaign-level statistics for CAMPAIGN mode.

{
  "report_id": "ORC-a1b2c3d4e5f6",
  "tool": "SPECTER ORACLE",
  "version": "1.0.0",
  "target_model": "gemini-2.5-pro",
  "objective_category": "social_engineering",
  "strategy_sequence": ["crescendo", "cot_hijack"],
  "turns_used": 4,
  "outcome": "SUCCESS",
  "asr": 1.0,
  "cot_trigger_used": "prolonged_reasoning",
  "wmd_classes": ["autonomous_ai_jailbreak_at_scale"],
  "ed25519_signature": "..."
}

Test Suite

91 tests, 0 failures. Run with: python -m pytest tests/ -q

Module	Tests
test_prime.py	14
test_strategy.py	9
test_cot_hijack.py	13
test_probe.py	19
test_escalate.py	7
test_harvest.py	10
test_campaign.py	11
test_report.py	13

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