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Joas A Santos
2026-01-19 19:21:57 -03:00
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commit 5a8a1fc0d7
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from backend.models.scan import Scan
from backend.models.target import Target
from backend.models.prompt import Prompt
from backend.models.endpoint import Endpoint
from backend.models.vulnerability import Vulnerability, VulnerabilityTest
from backend.models.report import Report
__all__ = [
"Scan",
"Target",
"Prompt",
"Endpoint",
"Vulnerability",
"VulnerabilityTest",
"Report"
]
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"""
NeuroSploit v3 - Endpoint Model
"""
from datetime import datetime
from typing import Optional, List
from sqlalchemy import String, Integer, DateTime, Text, JSON, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from backend.db.database import Base
import uuid
class Endpoint(Base):
"""Discovered endpoint model"""
__tablename__ = "endpoints"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
scan_id: Mapped[str] = mapped_column(String(36), ForeignKey("scans.id", ondelete="CASCADE"))
target_id: Mapped[Optional[str]] = mapped_column(String(36), ForeignKey("targets.id", ondelete="SET NULL"), nullable=True)
# Endpoint details
url: Mapped[str] = mapped_column(Text)
method: Mapped[str] = mapped_column(String(10), default="GET")
path: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Parameters
parameters: Mapped[List] = mapped_column(JSON, default=list) # [{name, type, value}]
headers: Mapped[dict] = mapped_column(JSON, default=dict)
# Response info
response_status: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
content_type: Mapped[Optional[str]] = mapped_column(String(100), nullable=True)
content_length: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
# Detection
technologies: Mapped[List] = mapped_column(JSON, default=list)
interesting: Mapped[bool] = mapped_column(default=False) # Marked as interesting for testing
# Timestamps
discovered_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
# Relationships
scan: Mapped["Scan"] = relationship("Scan", back_populates="endpoints")
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"scan_id": self.scan_id,
"target_id": self.target_id,
"url": self.url,
"method": self.method,
"path": self.path,
"parameters": self.parameters,
"headers": self.headers,
"response_status": self.response_status,
"content_type": self.content_type,
"content_length": self.content_length,
"technologies": self.technologies,
"interesting": self.interesting,
"discovered_at": self.discovered_at.isoformat() if self.discovered_at else None
}
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"""
NeuroSploit v3 - Prompt Model
"""
from datetime import datetime
from typing import Optional, List
from sqlalchemy import String, Boolean, DateTime, Text, JSON
from sqlalchemy.orm import Mapped, mapped_column
from backend.db.database import Base
import uuid
class Prompt(Base):
"""Prompt model for storing custom and preset prompts"""
__tablename__ = "prompts"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
name: Mapped[str] = mapped_column(String(255))
description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
content: Mapped[str] = mapped_column(Text)
# Categorization
is_preset: Mapped[bool] = mapped_column(Boolean, default=False)
category: Mapped[Optional[str]] = mapped_column(String(100), nullable=True) # pentest, bug_bounty, api, etc.
# Parsed vulnerabilities (extracted by AI)
parsed_vulnerabilities: Mapped[List] = mapped_column(JSON, default=list)
# Timestamps
created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"name": self.name,
"description": self.description,
"content": self.content,
"is_preset": self.is_preset,
"category": self.category,
"parsed_vulnerabilities": self.parsed_vulnerabilities,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None
}
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"""
NeuroSploit v3 - Report Model
"""
from datetime import datetime
from typing import Optional
from sqlalchemy import String, DateTime, Text, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from backend.db.database import Base
import uuid
class Report(Base):
"""Report model"""
__tablename__ = "reports"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
scan_id: Mapped[str] = mapped_column(String(36), ForeignKey("scans.id", ondelete="CASCADE"))
# Report details
title: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
format: Mapped[str] = mapped_column(String(20), default="html") # html, pdf, json
file_path: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Content
executive_summary: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Timestamps
generated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
# Relationship
scan: Mapped["Scan"] = relationship("Scan", back_populates="reports")
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"scan_id": self.scan_id,
"title": self.title,
"format": self.format,
"file_path": self.file_path,
"executive_summary": self.executive_summary,
"generated_at": self.generated_at.isoformat() if self.generated_at else None
}
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"""
NeuroSploit v3 - Scan Model
"""
from datetime import datetime
from typing import Optional, List
from sqlalchemy import String, Integer, Boolean, DateTime, Text, JSON
from sqlalchemy.orm import Mapped, mapped_column, relationship
from backend.db.database import Base
import uuid
class Scan(Base):
"""Scan model representing a penetration test scan"""
__tablename__ = "scans"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
name: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
status: Mapped[str] = mapped_column(String(50), default="pending") # pending, running, completed, failed, stopped
scan_type: Mapped[str] = mapped_column(String(50), default="full") # quick, full, custom
recon_enabled: Mapped[bool] = mapped_column(Boolean, default=True)
# Progress tracking
progress: Mapped[int] = mapped_column(Integer, default=0)
current_phase: Mapped[Optional[str]] = mapped_column(String(50), nullable=True) # recon, testing, reporting
# Configuration
config: Mapped[dict] = mapped_column(JSON, default=dict)
# Custom prompt (if any)
custom_prompt: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
prompt_id: Mapped[Optional[str]] = mapped_column(String(36), nullable=True)
# Authentication for testing (IMPORTANT: Use responsibly with authorization)
auth_type: Mapped[Optional[str]] = mapped_column(String(50), nullable=True) # none, cookie, header, basic, bearer
auth_credentials: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True) # Stores auth data securely
custom_headers: Mapped[Optional[dict]] = mapped_column(JSON, nullable=True) # Additional HTTP headers
# Timestamps
created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
started_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
completed_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
# Error handling
error_message: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Statistics (updated during scan)
total_endpoints: Mapped[int] = mapped_column(Integer, default=0)
total_vulnerabilities: Mapped[int] = mapped_column(Integer, default=0)
critical_count: Mapped[int] = mapped_column(Integer, default=0)
high_count: Mapped[int] = mapped_column(Integer, default=0)
medium_count: Mapped[int] = mapped_column(Integer, default=0)
low_count: Mapped[int] = mapped_column(Integer, default=0)
info_count: Mapped[int] = mapped_column(Integer, default=0)
# Relationships
targets: Mapped[List["Target"]] = relationship("Target", back_populates="scan", cascade="all, delete-orphan")
endpoints: Mapped[List["Endpoint"]] = relationship("Endpoint", back_populates="scan", cascade="all, delete-orphan")
vulnerabilities: Mapped[List["Vulnerability"]] = relationship("Vulnerability", back_populates="scan", cascade="all, delete-orphan")
reports: Mapped[List["Report"]] = relationship("Report", back_populates="scan", cascade="all, delete-orphan")
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"name": self.name,
"status": self.status,
"scan_type": self.scan_type,
"recon_enabled": self.recon_enabled,
"progress": self.progress,
"current_phase": self.current_phase,
"config": self.config,
"custom_prompt": self.custom_prompt,
"prompt_id": self.prompt_id,
"auth_type": self.auth_type,
"auth_credentials": self.auth_credentials, # Careful: may contain sensitive data
"custom_headers": self.custom_headers,
"created_at": self.created_at.isoformat() if self.created_at else None,
"started_at": self.started_at.isoformat() if self.started_at else None,
"completed_at": self.completed_at.isoformat() if self.completed_at else None,
"error_message": self.error_message,
"total_endpoints": self.total_endpoints,
"total_vulnerabilities": self.total_vulnerabilities,
"critical_count": self.critical_count,
"high_count": self.high_count,
"medium_count": self.medium_count,
"low_count": self.low_count,
"info_count": self.info_count
}
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"""
NeuroSploit v3 - Target Model
"""
from datetime import datetime
from typing import Optional
from sqlalchemy import String, Integer, DateTime, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from backend.db.database import Base
import uuid
class Target(Base):
"""Target URL model"""
__tablename__ = "targets"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
scan_id: Mapped[str] = mapped_column(String(36), ForeignKey("scans.id", ondelete="CASCADE"))
# URL details
url: Mapped[str] = mapped_column(String(2048))
hostname: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
port: Mapped[Optional[int]] = mapped_column(Integer, nullable=True)
protocol: Mapped[Optional[str]] = mapped_column(String(10), nullable=True)
path: Mapped[Optional[str]] = mapped_column(String(2048), nullable=True)
# Status
status: Mapped[str] = mapped_column(String(50), default="pending") # pending, scanning, completed, failed
# Timestamps
created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
# Relationship
scan: Mapped["Scan"] = relationship("Scan", back_populates="targets")
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"scan_id": self.scan_id,
"url": self.url,
"hostname": self.hostname,
"port": self.port,
"protocol": self.protocol,
"path": self.path,
"status": self.status,
"created_at": self.created_at.isoformat() if self.created_at else None
}
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"""
NeuroSploit v3 - Vulnerability Models
"""
from datetime import datetime
from typing import Optional, List
from sqlalchemy import String, Integer, Float, Boolean, DateTime, Text, JSON, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from backend.db.database import Base
import uuid
class VulnerabilityTest(Base):
"""Individual vulnerability test record"""
__tablename__ = "vulnerability_tests"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
scan_id: Mapped[str] = mapped_column(String(36), ForeignKey("scans.id", ondelete="CASCADE"))
endpoint_id: Mapped[Optional[str]] = mapped_column(String(36), ForeignKey("endpoints.id", ondelete="SET NULL"), nullable=True)
# Test details
vulnerability_type: Mapped[str] = mapped_column(String(100)) # xss_reflected, sqli_union, etc.
payload: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Request/Response
request_data: Mapped[dict] = mapped_column(JSON, default=dict)
response_data: Mapped[dict] = mapped_column(JSON, default=dict)
# Result
is_vulnerable: Mapped[bool] = mapped_column(Boolean, default=False)
confidence: Mapped[Optional[float]] = mapped_column(Float, nullable=True) # 0.0 to 1.0
evidence: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Timestamps
tested_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"scan_id": self.scan_id,
"endpoint_id": self.endpoint_id,
"vulnerability_type": self.vulnerability_type,
"payload": self.payload,
"request_data": self.request_data,
"response_data": self.response_data,
"is_vulnerable": self.is_vulnerable,
"confidence": self.confidence,
"evidence": self.evidence,
"tested_at": self.tested_at.isoformat() if self.tested_at else None
}
class Vulnerability(Base):
"""Confirmed vulnerability model"""
__tablename__ = "vulnerabilities"
id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
scan_id: Mapped[str] = mapped_column(String(36), ForeignKey("scans.id", ondelete="CASCADE"))
test_id: Mapped[Optional[str]] = mapped_column(String(36), ForeignKey("vulnerability_tests.id", ondelete="SET NULL"), nullable=True)
# Vulnerability details
title: Mapped[str] = mapped_column(String(500))
vulnerability_type: Mapped[str] = mapped_column(String(100))
severity: Mapped[str] = mapped_column(String(20)) # critical, high, medium, low, info
# Scoring
cvss_score: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
cvss_vector: Mapped[Optional[str]] = mapped_column(String(100), nullable=True)
cwe_id: Mapped[Optional[str]] = mapped_column(String(50), nullable=True)
# Details
description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
affected_endpoint: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Proof of Concept
poc_request: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
poc_response: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
poc_payload: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
poc_parameter: Mapped[Optional[str]] = mapped_column(String(500), nullable=True) # Vulnerable parameter
poc_evidence: Mapped[Optional[str]] = mapped_column(Text, nullable=True) # Evidence of vulnerability
# Remediation
impact: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
remediation: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
references: Mapped[List] = mapped_column(JSON, default=list)
# AI Analysis
ai_analysis: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Timestamps
created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
# Relationships
scan: Mapped["Scan"] = relationship("Scan", back_populates="vulnerabilities")
def to_dict(self) -> dict:
"""Convert to dictionary"""
return {
"id": self.id,
"scan_id": self.scan_id,
"test_id": self.test_id,
"title": self.title,
"vulnerability_type": self.vulnerability_type,
"severity": self.severity,
"cvss_score": self.cvss_score,
"cvss_vector": self.cvss_vector,
"cwe_id": self.cwe_id,
"description": self.description,
"affected_endpoint": self.affected_endpoint,
"poc_request": self.poc_request,
"poc_response": self.poc_response,
"poc_payload": self.poc_payload,
"poc_parameter": self.poc_parameter,
"poc_evidence": self.poc_evidence,
"impact": self.impact,
"remediation": self.remediation,
"references": self.references,
"ai_analysis": self.ai_analysis,
"created_at": self.created_at.isoformat() if self.created_at else None
}