Container Image Security

Quant Cloud provides comprehensive container image security scanning to identify and manage vulnerabilities in your application containers. Our multi-layered scanning approach examines both application-level dependencies and operating system packages to ensure your containerized applications maintain strong security postures.

Image Security Dashboard

The Image Security Dashboard provides a centralized view of your container security landscape with actionable insights and detailed vulnerability analysis.

Security Overview Metrics

Security Score: Overall security assessment with risk level indication (e.g., 70/100 - Medium Risk)
Repositories: Total number of container repositories under security monitoring
Image Tags: Count of specific image versions being scanned
Critical Issues: Number of high-priority vulnerabilities requiring immediate attention

Container Vulnerability Monitoring The dashboard continuously monitors all container images used in your Quant Cloud applications, providing real-time security assessments as new vulnerabilities are discovered or as you deploy updated images.

Vulnerability Analysis

Multi-Layer Security Scanning Quant’s image security scanning examines multiple layers of your container images:

Application-Level Dependencies

Package Vulnerabilities: Scan application dependencies for known security issues
Library Analysis: Identify vulnerable versions of frameworks and libraries
Language-Specific Scanning: Support for Node.js, Python, PHP, Ruby, Java, and other runtime dependencies
Transitive Dependencies: Deep analysis of indirect dependencies that may introduce vulnerabilities

Operating System Packages

Base Image Security: Analyze the security of your container’s base operating system
System Package Vulnerabilities: Identify outdated or vulnerable OS packages
Distribution-Specific Analysis: Support for Alpine, Ubuntu, Debian, CentOS, and other Linux distributions
Kernel-Level Issues: Detection of OS-level security concerns

Vulnerability Breakdown

Severity Classification Vulnerabilities are categorized by severity to help prioritize remediation efforts:

Critical: Immediate action required - vulnerabilities with active exploits or severe impact
High: High priority - significant security risks that should be addressed quickly
Medium: Moderate priority - vulnerabilities that pose some risk but are less urgent
Low: Low priority - minor security issues or informational findings

Visual Risk Assessment The vulnerability breakdown chart provides an immediate visual assessment of your security posture, showing the distribution of vulnerabilities across severity levels with color-coded indicators for quick identification of high-risk areas.

Repository Risk Matrix

Comparative Security Analysis The Repository Risk Matrix enables comparison of security postures across multiple container repositories, helping identify which applications require the most attention:

Risk Visualization

X-Axis: Total number of vulnerabilities across all severity levels
Y-Axis: Risk level categorization (Critical, High, Medium, Low, None)
Bubble Size: Represents the relative number of vulnerabilities for each repository
Color Coding: Visual indicators for quick risk assessment

Strategic Security Planning Use the risk matrix to:

Prioritize Remediation: Focus efforts on repositories with the highest risk scores
Resource Allocation: Allocate security resources based on vulnerability density
Trend Analysis: Monitor improvement or degradation in security posture over time
Compliance Reporting: Generate security status reports for auditing purposes

Detailed Vulnerability Information

Comprehensive CVE Details Each vulnerability provides detailed information for effective remediation:

Vulnerability Metadata

CVE ID: Standard Common Vulnerabilities and Exposures identifier
Package: Specific package or component affected by the vulnerability
Severity: Risk level with color-coded badges (Critical, High, Medium, Low)
Description: Detailed explanation of the vulnerability and potential impact
Version: Current vulnerable version and recommended fixed version

Remediation Guidance

Fixed Version: Specific version that resolves the vulnerability
Upgrade Path: Clear guidance on how to update affected packages
Impact Assessment: Understanding of potential security implications
Workarounds: Alternative mitigation strategies when immediate updates aren’t possible

Repository Security Overview

Per-Repository Analysis The Repository Security Overview provides detailed breakdowns for each container repository:

Security Metrics

Risk Level: Overall risk assessment (High, Medium, Low)
Images: Number of container images in the repository
Vulnerability Distribution: Count of vulnerabilities by severity (Critical, High, Medium, Low)
Total Vulnerabilities: Complete count of all identified security issues
Actions: Direct access to detailed vulnerability information and remediation tools

Repository Management

Detailed Analysis: Click on any repository to view comprehensive vulnerability details
Remediation Tracking: Monitor progress as vulnerabilities are resolved
Historical Data: Track security improvements over time
Integration: Seamless integration with your container deployment workflow

Security Scanning Process

Automated Scanning

Continuous Monitoring: Images are automatically scanned when pushed to Quant Cloud
Real-time Updates: New vulnerability databases are applied to existing images
Scheduled Rescans: Regular re-evaluation ensures ongoing security assessment
Integration Points: Scanning integrates with CI/CD pipelines and deployment processes

Scanning Coverage

Multi-Architecture Support: Scanning for both x86 and ARM64 container images
Layer Analysis: Deep inspection of each container layer for comprehensive coverage
Manifest Scanning: Analysis of container manifests and configuration files
Registry Integration: Support for public and private container registries

Remediation Workflow

Vulnerability Resolution Process

Identification: Automated scanning identifies vulnerabilities in container images
Prioritization: Use severity levels and risk matrix to prioritize remediation efforts
Analysis: Review detailed CVE information and impact assessment
Remediation: Update packages, rebuild containers, or apply security patches
Verification: Rescan updated images to confirm vulnerability resolution
Monitoring: Ongoing monitoring ensures new vulnerabilities are detected promptly

Best Practices for Container Security

Regular Updates: Keep base images and dependencies current with security patches
Minimal Images: Use minimal base images to reduce attack surface
Layer Optimization: Optimize container layers to minimize vulnerability exposure
Dependency Management: Regularly audit and update application dependencies
Security Policies: Implement policies for acceptable vulnerability levels in production

Integration with Quant Cloud

Seamless Security Integration Container image security scanning integrates seamlessly with Quant Cloud application management:

Deployment Integration

Pre-deployment Scanning: Images are scanned before deployment to production environments
Security Gates: Configure deployment policies based on vulnerability thresholds
Automated Alerts: Receive notifications when new vulnerabilities are discovered
Compliance Reporting: Generate security reports for compliance and audit requirements

Application Lifecycle Management

Development Integration: Scan images during development to catch vulnerabilities early
Staging Validation: Ensure staging environments meet security requirements
Production Monitoring: Continuous monitoring of production container security
Incident Response: Rapid identification and response to newly discovered vulnerabilities

Container image security scanning provides the visibility and tools needed to maintain strong security postures for your containerized applications, ensuring that security is integrated throughout your application development and deployment lifecycle.