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CyberSecurityUPandClaude Opus 5
c3de51d508
Integrates TypeSafe's System One model (Jev) as an optional, calibrated
adjudicator — the RLCD (Reinforcement Learning for Calibrated Decisions) tier:
typed judgments with probabilities where the harness needs a number, not prose.
- typesafe.rs: HTTP client for POST /v1/systemone (Bearer TYPESAFE_API_KEY,
model jev-latest), with Choice/Noul/Score primitives, retry on 429/529, and
parsed answers exposing the probability distribution + confidence.
adjudicate() asks a Choice {confirmed/needs-review/rejected} plus an
impact-demonstrated Noul over a finding; calibrated_confidence() folds
demonstrated impact into the number, wants_review() gates a split distribution.
- pipeline: an optional pass (runs when TYPESAFE_API_KEY is set, off with
NEUROSPLOIT_TYPESAFE=off) adjudicates each finding over its EVIDENCE — never
its narrative — refining confidence and the needs-review boundary. Additive:
a deterministic validator still rules; TypeSafe can only lower confidence or
flag for review, never resurrect a rejected claim. Audited per finding.
- env.example + README document it; the web console inherits the key via env.
Where the model stack maps in NeuroSploit: LM/BERT ≈ the deterministic
validators (no model), RLHF chat ≈ the exploit/recon agents, RLVR reasoning ≈
the DeepReasoning budget tier, RLCD ≈ this calibrated adjudication.
373 tests (+5).
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
78 lines
2.5 KiB
Rust
78 lines
2.5 KiB
Rust
//! NeuroSploit v3.6.5 harness — a robust multi-model runtime for the
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//! markdown-driven autonomous pentest engine.
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//!
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//! The harness loads the `agents_md/` library, drives a *pool* of LLM models
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//! (any OpenAI-compatible provider) with concurrency + provider failover, runs
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//! the specialist agents in parallel, then validates every candidate finding by
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//! **N-model voting** before scoring and reporting.
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pub mod agents;
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pub mod assurance;
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pub mod attack_graph;
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pub mod audit;
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pub mod belief;
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pub mod browser;
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pub mod budget;
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pub mod capability;
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pub mod chain;
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pub mod claims;
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pub mod compliance;
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pub mod creds;
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pub mod cvss;
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pub mod grounding;
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pub mod hygiene;
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pub mod inbox;
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pub mod integrations;
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pub mod integrity;
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pub mod internal;
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pub mod knowledge_graph;
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pub mod memory;
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pub mod policy;
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pub mod poc;
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pub mod pomdp;
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pub mod proxy;
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pub mod prosecutor;
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pub mod provenance;
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pub mod models;
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pub mod netguard;
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pub mod oob;
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pub mod pipeline;
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pub mod pool;
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pub mod probe;
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pub mod replay;
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pub mod report;
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pub mod rl;
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pub mod sandbox;
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pub mod scope;
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pub mod taint;
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pub mod transport;
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pub mod types;
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pub mod typesafe;
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pub mod uncertainty;
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pub mod validation;
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pub mod waf;
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pub use agents::{Agent, Library};
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pub use models::{
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cli_binary_for, ensure_playwright_mcp, installed_cli_backends, mcp_supported, provider_for,
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providers, write_mcp_config, ChatClient, ModelRef, Provider,
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};
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pub use pipeline::{run_greybox, run_host, run_whitebox, RunOutput};
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pub use pipeline::run;
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pub use knowledge_graph::{EdgeKind, KnowledgeGraph, NodeKind};
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pub use memory::{Memory, Query as MemoryQuery, Tier as MemoryTier};
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pub use pool::{ModelPool, Task};
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pub use audit::{AuditLog, AuditRecord, KillReason, KillSwitch};
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pub use capability::{Capability, TokenError};
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pub use browser::{BrowserProbe, BrowserResult};
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pub use budget::{Budget, Effort, Governor, Mode as BudgetMode, Order as BudgetOrder, Phase as BudgetPhase};
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pub use chain::{AttackPath, Capability as ChainCapability, Link};
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pub use claims::{Claim, ClaimSet, ClaimStatus, Decision, EvidenceLedger};
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pub use policy::{Act, ActionKind, BlastRadius, EngagementPolicy, Environment, Protocol, Risk, RiskDecision, SafetyPolicy};
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pub use prosecutor::{ProsecutorVerdict, PROSECUTOR_SYS};
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pub use replay::{ReplayEngine, ReqSpec};
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pub use scope::{Action as ScopeAction, Decision as ScopeDecision, ScopePolicy};
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pub use types::{Finding, RunConfig};
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pub use uncertainty::{assess as assess_uncertainty, Assessment, Gap, Rounds};
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pub use validation::{judge as judge_finding, CweValidator, Evidence, Verdict};
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