mirror of
https://github.com/FuzzingLabs/fuzzforge_ai.git
synced 2026-05-20 18:14:41 +02:00
feat: Add native findings format and fix critical ID bug
Priority 1 implementation: - Created native FuzzForge findings format schema with full support for: - 5-level severity (critical/high/medium/low/info) - Confidence levels - CWE and OWASP categorization - found_by attribution (module, tool, type) - LLM context tracking (model, prompt, temperature) - Updated ModuleFinding model with new fields: - Added rule_id for pattern identification - Added found_by for detection attribution - Added llm_context for LLM-detected findings - Added confidence, cwe, owasp, references - Added column_start/end for precise location - Updated create_finding() helper with new required fields - Enhanced _generate_summary() with confidence and source tracking - Fixed critical ID bug in CLI: - Changed 'ff finding show' to use --id (unique) instead of --rule - Added new show_findings_by_rule() function to show ALL findings matching a rule - Updated display_finding_detail() to support both native and SARIF formats - Now properly handles multiple findings with same rule_id Breaking changes: - create_finding() now requires rule_id and found_by parameters - show_finding() now uses --id instead of --rule flag
This commit is contained in:
tduhamel42
@@ -0,0 +1,166 @@
|
||||
"""
|
||||
FuzzForge Native Finding Format Schema
|
||||
|
||||
This module defines the native finding format used internally by FuzzForge.
|
||||
This format is more expressive than SARIF and optimized for security testing workflows.
|
||||
"""
|
||||
|
||||
# Copyright (c) 2025 FuzzingLabs
|
||||
#
|
||||
# Licensed under the Business Source License 1.1 (BSL). See the LICENSE file
|
||||
# at the root of this repository for details.
|
||||
#
|
||||
# After the Change Date (four years from publication), this version of the
|
||||
# Licensed Work will be made available under the Apache License, Version 2.0.
|
||||
# See the LICENSE-APACHE file or http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Additional attribution and requirements are provided in the NOTICE file.
|
||||
|
||||
from typing import Dict, Any, List, Optional, Literal
|
||||
from pydantic import BaseModel, Field
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
class FoundBy(BaseModel):
|
||||
"""Information about who/what found the vulnerability"""
|
||||
module: str = Field(..., description="FuzzForge module that detected the finding (e.g., 'semgrep_scanner', 'llm_analysis')")
|
||||
tool_name: str = Field(..., description="Name of the underlying tool (e.g., 'Semgrep', 'Claude-3.5-Sonnet', 'MobSF')")
|
||||
tool_version: str = Field(..., description="Version of the tool")
|
||||
type: Literal["llm", "tool", "fuzzer", "manual"] = Field(..., description="Type of detection method")
|
||||
|
||||
|
||||
class LLMContext(BaseModel):
|
||||
"""Context information for LLM-detected findings"""
|
||||
model: str = Field(..., description="LLM model used (e.g., 'claude-3-5-sonnet-20250129')")
|
||||
prompt: str = Field(..., description="Prompt or analysis instructions used")
|
||||
temperature: Optional[float] = Field(None, description="Temperature parameter used for generation")
|
||||
|
||||
|
||||
class Location(BaseModel):
|
||||
"""Location information for a finding"""
|
||||
file: str = Field(..., description="File path relative to workspace root")
|
||||
line_start: Optional[int] = Field(None, description="Starting line number (1-indexed)")
|
||||
line_end: Optional[int] = Field(None, description="Ending line number (1-indexed)")
|
||||
column_start: Optional[int] = Field(None, description="Starting column number (1-indexed)")
|
||||
column_end: Optional[int] = Field(None, description="Ending column number (1-indexed)")
|
||||
snippet: Optional[str] = Field(None, description="Code snippet at the location")
|
||||
|
||||
|
||||
class Finding(BaseModel):
|
||||
"""Individual security finding"""
|
||||
id: str = Field(..., description="Unique finding identifier (UUID)")
|
||||
rule_id: str = Field(..., description="Rule/pattern identifier (e.g., 'sql_injection', 'hardcoded_secret')")
|
||||
found_by: FoundBy = Field(..., description="Detection attribution")
|
||||
llm_context: Optional[LLMContext] = Field(None, description="LLM-specific context (only if found_by.type == 'llm')")
|
||||
|
||||
title: str = Field(..., description="Short finding title")
|
||||
description: str = Field(..., description="Detailed description of the finding")
|
||||
|
||||
severity: Literal["critical", "high", "medium", "low", "info"] = Field(..., description="Severity level")
|
||||
confidence: Literal["high", "medium", "low"] = Field(..., description="Confidence level in the finding")
|
||||
|
||||
category: str = Field(..., description="Finding category (e.g., 'injection', 'authentication', 'cryptography')")
|
||||
cwe: Optional[str] = Field(None, description="CWE identifier (e.g., 'CWE-89')")
|
||||
owasp: Optional[str] = Field(None, description="OWASP category (e.g., 'A03:2021-Injection')")
|
||||
|
||||
location: Optional[Location] = Field(None, description="Location of the finding in source code")
|
||||
|
||||
recommendation: Optional[str] = Field(None, description="Remediation recommendation")
|
||||
references: List[str] = Field(default_factory=list, description="External references (URLs, documentation)")
|
||||
|
||||
metadata: Dict[str, Any] = Field(default_factory=dict, description="Additional metadata")
|
||||
|
||||
|
||||
class FindingsSummary(BaseModel):
|
||||
"""Summary statistics for findings"""
|
||||
total_findings: int = Field(..., description="Total number of findings")
|
||||
by_severity: Dict[str, int] = Field(default_factory=dict, description="Count by severity level")
|
||||
by_confidence: Dict[str, int] = Field(default_factory=dict, description="Count by confidence level")
|
||||
by_category: Dict[str, int] = Field(default_factory=dict, description="Count by category")
|
||||
by_source: Dict[str, int] = Field(default_factory=dict, description="Count by detection source (module name)")
|
||||
by_type: Dict[str, int] = Field(default_factory=dict, description="Count by detection type (llm/tool/fuzzer)")
|
||||
affected_files: int = Field(0, description="Number of unique files with findings")
|
||||
|
||||
|
||||
class FuzzForgeFindingsReport(BaseModel):
|
||||
"""Native FuzzForge findings report format"""
|
||||
version: str = Field(default="1.0.0", description="Format version")
|
||||
run_id: str = Field(..., description="Workflow run identifier")
|
||||
workflow: str = Field(..., description="Workflow name")
|
||||
timestamp: datetime = Field(default_factory=datetime.utcnow, description="Report generation timestamp")
|
||||
|
||||
findings: List[Finding] = Field(default_factory=list, description="List of security findings")
|
||||
summary: FindingsSummary = Field(..., description="Summary statistics")
|
||||
|
||||
metadata: Dict[str, Any] = Field(default_factory=dict, description="Additional report metadata")
|
||||
|
||||
|
||||
# JSON Schema export for documentation
|
||||
FINDING_SCHEMA_VERSION = "1.0.0"
|
||||
|
||||
def get_json_schema() -> Dict[str, Any]:
|
||||
"""Get JSON schema for the FuzzForge findings format"""
|
||||
return FuzzForgeFindingsReport.model_json_schema()
|
||||
|
||||
|
||||
def validate_findings_report(data: Dict[str, Any]) -> FuzzForgeFindingsReport:
|
||||
"""
|
||||
Validate a findings report against the schema
|
||||
|
||||
Args:
|
||||
data: Dictionary containing findings report data
|
||||
|
||||
Returns:
|
||||
Validated FuzzForgeFindingsReport object
|
||||
|
||||
Raises:
|
||||
ValidationError: If data doesn't match schema
|
||||
"""
|
||||
return FuzzForgeFindingsReport(**data)
|
||||
|
||||
|
||||
def create_summary(findings: List[Finding]) -> FindingsSummary:
|
||||
"""
|
||||
Generate summary statistics from a list of findings
|
||||
|
||||
Args:
|
||||
findings: List of Finding objects
|
||||
|
||||
Returns:
|
||||
FindingsSummary with aggregated statistics
|
||||
"""
|
||||
summary = FindingsSummary(
|
||||
total_findings=len(findings),
|
||||
by_severity={},
|
||||
by_confidence={},
|
||||
by_category={},
|
||||
by_source={},
|
||||
by_type={},
|
||||
affected_files=0
|
||||
)
|
||||
|
||||
affected_files = set()
|
||||
|
||||
for finding in findings:
|
||||
# Count by severity
|
||||
summary.by_severity[finding.severity] = summary.by_severity.get(finding.severity, 0) + 1
|
||||
|
||||
# Count by confidence
|
||||
summary.by_confidence[finding.confidence] = summary.by_confidence.get(finding.confidence, 0) + 1
|
||||
|
||||
# Count by category
|
||||
summary.by_category[finding.category] = summary.by_category.get(finding.category, 0) + 1
|
||||
|
||||
# Count by source (module)
|
||||
summary.by_source[finding.found_by.module] = summary.by_source.get(finding.found_by.module, 0) + 1
|
||||
|
||||
# Count by type
|
||||
summary.by_type[finding.found_by.type] = summary.by_type.get(finding.found_by.type, 0) + 1
|
||||
|
||||
# Track affected files
|
||||
if finding.location and finding.location.file:
|
||||
affected_files.add(finding.location.file)
|
||||
|
||||
summary.affected_files = len(affected_files)
|
||||
|
||||
return summary
|
||||
Reference in New Issue
Block a user