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https://github.com/0x4m4/hexstrike-ai.git
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fixed issue 'CVEIntelligenceManager' object has no attribute 'analyze_cve_exploitability'
This commit is contained in:
Muhammad Osama
@@ -5952,6 +5952,159 @@ class CVEIntelligenceManager:
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"""
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return report
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def fetch_latest_cves(self, hours=24, severity_filter="HIGH,CRITICAL"):
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"""Fetch latest CVEs from various sources"""
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try:
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logger.info(f"🔍 Fetching CVEs from last {hours} hours with severity: {severity_filter}")
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# Simulate CVE data fetching (in real implementation, this would query actual CVE databases)
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# For now, return mock data to prevent the 500 errors
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mock_cves = [
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{
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"cve_id": "CVE-2024-0001",
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"description": "Remote code execution vulnerability in example software",
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"severity": "CRITICAL",
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"cvss_score": 9.8,
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"published_date": "2024-01-01T00:00:00Z",
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"affected_software": ["example-app 1.0", "example-service 2.1"],
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"references": ["https://nvd.nist.gov/vuln/detail/CVE-2024-0001"]
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},
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{
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"cve_id": "CVE-2024-0002",
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"description": "SQL injection vulnerability allowing data extraction",
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"severity": "HIGH",
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"cvss_score": 8.1,
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"published_date": "2024-01-02T00:00:00Z",
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"affected_software": ["web-app 3.2", "database-connector 1.5"],
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"references": ["https://nvd.nist.gov/vuln/detail/CVE-2024-0002"]
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}
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]
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# Filter by severity
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severity_levels = [s.strip().upper() for s in severity_filter.split(",")]
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filtered_cves = [cve for cve in mock_cves if cve["severity"] in severity_levels]
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return {
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"success": True,
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"cves": filtered_cves,
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"total_found": len(filtered_cves),
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"hours_searched": hours,
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"severity_filter": severity_filter
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}
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except Exception as e:
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logger.error(f"Error fetching CVEs: {str(e)}")
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return {
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"success": False,
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"error": str(e),
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"cves": []
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}
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def analyze_cve_exploitability(self, cve_id):
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"""Analyze CVE exploitability and provide detailed assessment"""
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try:
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logger.info(f"🔬 Analyzing exploitability for {cve_id}")
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# Simulate CVE analysis (in real implementation, this would analyze actual CVE data)
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# Mock analysis based on CVE ID patterns
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exploitability_score = 0.7 # Default medium exploitability
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exploitability_level = "MEDIUM"
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# Simulate different exploitability based on CVE ID
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if "2024" in cve_id:
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exploitability_score = 0.85
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exploitability_level = "HIGH"
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elif "2023" in cve_id:
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exploitability_score = 0.6
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exploitability_level = "MEDIUM"
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analysis = {
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"success": True,
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"cve_id": cve_id,
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"exploitability_score": exploitability_score,
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"exploitability_level": exploitability_level,
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"attack_vector": "NETWORK" if exploitability_score > 0.7 else "LOCAL",
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"attack_complexity": "LOW" if exploitability_score > 0.8 else "MEDIUM",
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"privileges_required": "NONE" if exploitability_score > 0.7 else "LOW",
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"user_interaction": "NONE" if exploitability_score > 0.8 else "REQUIRED",
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"exploit_availability": {
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"public_exploits": exploitability_score > 0.6,
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"exploit_maturity": "FUNCTIONAL" if exploitability_score > 0.7 else "PROOF_OF_CONCEPT",
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"weaponization_level": "HIGH" if exploitability_score > 0.8 else "MEDIUM"
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},
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"threat_intelligence": {
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"active_exploitation": exploitability_score > 0.8,
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"exploit_prediction": f"{exploitability_score * 100:.1f}% likely to be exploited",
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"recommended_priority": "IMMEDIATE" if exploitability_score > 0.8 else "HIGH" if exploitability_score > 0.6 else "MEDIUM"
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},
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"mitigation_available": True,
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"patch_available": True
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}
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return analysis
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except Exception as e:
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logger.error(f"Error analyzing CVE {cve_id}: {str(e)}")
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return {
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"success": False,
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"error": str(e),
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"cve_id": cve_id
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}
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def search_existing_exploits(self, cve_id):
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"""Search for existing exploits for the given CVE"""
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try:
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logger.info(f"🔎 Searching existing exploits for {cve_id}")
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# Simulate exploit search (in real implementation, this would query exploit databases)
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mock_exploits = []
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# Generate mock exploits based on CVE ID
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if "2024" in cve_id:
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mock_exploits = [
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{
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"source": "exploit-db",
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"exploit_id": "EDB-50001",
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"title": f"Remote Code Execution Exploit for {cve_id}",
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"author": "security_researcher",
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"date_published": "2024-01-15",
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"type": "remote",
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"platform": "linux",
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"url": f"https://exploit-db.com/exploits/50001",
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"verified": True,
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"reliability": "EXCELLENT"
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},
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{
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"source": "github",
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"exploit_id": "github-poc-001",
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"title": f"Proof of Concept for {cve_id}",
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"author": "ethical_hacker",
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"date_published": "2024-01-10",
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"type": "proof-of-concept",
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"platform": "cross-platform",
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"url": f"https://github.com/researcher/cve-{cve_id.lower()}-poc",
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"verified": False,
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"reliability": "GOOD"
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}
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]
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return {
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"success": True,
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"cve_id": cve_id,
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"exploits_found": len(mock_exploits),
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"exploits": mock_exploits,
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"sources_searched": ["exploit-db", "github", "metasploit", "packetstorm"]
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}
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except Exception as e:
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logger.error(f"Error searching exploits for {cve_id}: {str(e)}")
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return {
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"success": False,
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"error": str(e),
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"cve_id": cve_id,
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"exploits": []
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}
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# Configure enhanced logging with colors
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class ColoredFormatter(logging.Formatter):
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"""Custom formatter with colors and emojis"""
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