mirror of
https://github.com/CyberSecurityUP/NeuroSploit.git
synced 2026-06-30 16:25:48 +02:00
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>
41 lines
1.4 KiB
Python
Executable File
41 lines
1.4 KiB
Python
Executable File
"""
|
|
NeuroSploit v3 - Report Schemas
|
|
"""
|
|
from datetime import datetime
|
|
from typing import Optional, List
|
|
from pydantic import BaseModel, Field
|
|
|
|
|
|
class ReportGenerate(BaseModel):
|
|
"""Schema for generating a report"""
|
|
scan_id: str = Field(..., description="Scan ID to generate report for")
|
|
format: str = Field("html", description="Report format: html, pdf, json")
|
|
title: Optional[str] = Field(None, description="Custom report title")
|
|
include_executive_summary: bool = Field(True, description="Include executive summary")
|
|
include_poc: bool = Field(True, description="Include proof of concept")
|
|
include_remediation: bool = Field(True, description="Include remediation steps")
|
|
preferred_provider: Optional[str] = Field(None, description="Preferred LLM provider for AI report generation")
|
|
preferred_model: Optional[str] = Field(None, description="Preferred model for AI report generation")
|
|
|
|
|
|
class ReportResponse(BaseModel):
|
|
"""Schema for report response"""
|
|
id: str
|
|
scan_id: str
|
|
title: Optional[str]
|
|
format: str
|
|
file_path: Optional[str]
|
|
executive_summary: Optional[str]
|
|
auto_generated: bool = False
|
|
is_partial: bool = False
|
|
generated_at: datetime
|
|
|
|
class Config:
|
|
from_attributes = True
|
|
|
|
|
|
class ReportListResponse(BaseModel):
|
|
"""Schema for list of reports"""
|
|
reports: List[ReportResponse]
|
|
total: int
|