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Version: Next 🚧

Malware Detection

Cert-IX Malware Detection protects your AI systems and infrastructure from malicious code, compromised models, and dangerous dependencies.

Detection Capabilities​

AI Model Scanning​

Scan AI models for:

  • Embedded malicious code
  • Backdoor triggers
  • Tampered weights
  • Serialization exploits
  • Hidden payloads

Dependency Analysis​

Analyze AI project dependencies:

  • Known vulnerable packages
  • Malicious dependencies
  • Typosquatting detection
  • Supply chain risks
  • License compliance issues

Pipeline Protection​

Secure your ML pipelines:

  • Code injection detection
  • Data poisoning indicators
  • Unauthorized modifications
  • Execution anomalies
  • Container security

Runtime Protection​

Monitor running AI systems:

  • Memory scanning
  • Process behavior analysis
  • Network activity monitoring
  • File system changes
  • Resource abuse detection

Using Malware Detection​

Running Scans​

On-Demand Scan​

  1. Navigate to AI Security → Malware Detection
  2. Click New Scan
  3. Select targets (models, code, dependencies)
  4. Configure scan options
  5. Click Start Scan

Scheduled Scans​

  1. Go to Scan Settings
  2. Click Add Schedule
  3. Select scan type and targets
  4. Set frequency (daily, weekly, etc.)
  5. Enable the schedule

Viewing Results​

Scan Dashboard​

  • Recent scan summaries
  • Detection counts by severity
  • Trend graphs
  • Quick actions

Scan Details​

Each scan shows:

  • Scan timestamp and duration
  • Targets scanned
  • Detections found
  • Severity breakdown
  • Remediation status

Handling Detections​

For each detection:

  1. Review - Examine the finding details
  2. Verify - Confirm if true positive
  3. Remediate - Take corrective action
  4. Document - Record resolution
  5. Verify fix - Re-scan to confirm

Detection Categories​

Critical​

Immediate threats requiring action:

  • Active malware
  • Known exploits
  • Backdoored models
  • Critical vulnerabilities

High​

Serious issues to address promptly:

  • Suspicious code patterns
  • High-risk dependencies
  • Potential backdoors
  • Significant vulnerabilities

Medium​

Notable findings for review:

  • Outdated dependencies
  • Moderate vulnerabilities
  • Unusual patterns
  • Policy violations

Low​

Informational findings:

  • Minor vulnerabilities
  • Best practice deviations
  • Optimization opportunities

Scan Configuration​

Scan Types​

  • Quick Scan - Fast, common threat patterns
  • Full Scan - Comprehensive analysis
  • Custom Scan - Specific targets and rules

Scan Scope​

Configure what to scan:

  • Specific models
  • Code repositories
  • Dependency trees
  • Running processes
  • Container images

Scan Options​

  • Signature-based detection
  • Heuristic analysis
  • Behavioral analysis
  • Deep learning analysis

Automated Response​

Configure automatic actions for detections:

  • Quarantine - Isolate detected threats
  • Block - Prevent execution
  • Alert - Notify security team
  • Log - Record for analysis
  • Custom webhook - Trigger external actions

Best Practices​

  1. Scan before deployment - Never deploy unscanned models
  2. Regular scheduled scans - Daily for critical systems
  3. Update signatures - Keep detection rules current
  4. Review all findings - Don't ignore low severity
  5. Document exceptions - Track approved risks

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