mirror of
https://github.com/CyberSecurityUP/NeuroSploit.git
synced 2026-06-30 16:55:34 +02:00
CyberSecurityUP
a5badefc29
Engine:
- Fix: inject IS_SANDBOX=1 so Claude Code's --dangerously-skip-permissions
works under root (real backend runs were exiting rc=1 immediately)
- models: expand to 40 models / 13 providers, tagged CLI vs API
(NVIDIA NIM, DeepSeek, Mistral, Qwen/DashScope, Groq, Together, OpenRouter,
Ollama, Gemini) — Qwen/DeepSeek/Llama usable via API
- backends: on_start callback surfaces the exact argv ("what runs behind it")
- orchestrator: require a Playwright screenshot per confirmed finding; collect
results/activity.json; auto-generate reports after a run
- report.py: HTML always + PDF via Typst engine (.typ source emitted too)
Web dashboard (webgui/, stdlib only — no npm/build):
- Sidebar dashboard (PentAGI-style): Run / Agents / Insights / Reports / Settings
- Multi-target runs; live execution console + per-task activity; finding cards
with screenshots; backend+provider+model pickers (CLI & API)
- Agents tab: browse 213 + add new .md agents from the UI
- Insights: interactive RL-weight + severity charts
- Reports: download/preview PDF + HTML
- Settings/API: execution mode, per-provider API keys, orchestrator, verbosity
- Endpoints: /api/agents (GET/POST), /api/rl, /api/config, /api/reports,
/reports/* + /shots/* static serving
Cleanup: retire replaced web stack (frontend React, FastAPI backend, core
orchestration, old test) to legacy/. Active engine + GUI are fully standalone.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
78 lines
2.0 KiB
Python
Executable File
78 lines
2.0 KiB
Python
Executable File
"""
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NeuroSploit v3 - Prompt Schemas
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"""
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from datetime import datetime
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from typing import Optional, List
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from pydantic import BaseModel, Field
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class PromptCreate(BaseModel):
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"""Schema for creating a prompt"""
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name: str = Field(..., max_length=255, description="Prompt name")
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description: Optional[str] = Field(None, description="Prompt description")
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content: str = Field(..., min_length=10, description="Prompt content")
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category: Optional[str] = Field(None, description="Prompt category")
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class PromptUpdate(BaseModel):
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"""Schema for updating a prompt"""
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name: Optional[str] = None
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description: Optional[str] = None
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content: Optional[str] = None
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category: Optional[str] = None
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class PromptParse(BaseModel):
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"""Schema for parsing a prompt"""
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content: str = Field(..., min_length=10, description="Prompt content to parse")
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class VulnerabilityTypeExtracted(BaseModel):
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"""Extracted vulnerability type from prompt"""
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type: str
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category: str
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confidence: float
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context: Optional[str] = None
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class TestingScope(BaseModel):
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"""Testing scope extracted from prompt"""
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include_recon: bool = True
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depth: str = "standard" # quick, standard, thorough, exhaustive
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max_requests_per_endpoint: Optional[int] = None
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time_limit_minutes: Optional[int] = None
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class PromptParseResult(BaseModel):
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"""Result of prompt parsing"""
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vulnerabilities_to_test: List[VulnerabilityTypeExtracted]
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testing_scope: TestingScope
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special_instructions: List[str] = []
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target_filters: dict = {}
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output_preferences: dict = {}
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class PromptResponse(BaseModel):
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"""Schema for prompt response"""
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id: str
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name: str
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description: Optional[str]
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content: str
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is_preset: bool
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category: Optional[str]
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parsed_vulnerabilities: List
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class PromptPreset(BaseModel):
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"""Schema for preset prompt"""
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id: str
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name: str
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description: str
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category: str
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vulnerability_count: int
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