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Dagda

Comprehensive Docker image security scanning and runtime monitoring

Dagda scans Docker images for known CVEs, vulnerable packages, and malware while monitoring running containers for anomalous behavior, storing results in MongoDB for historical analysis.

Overview

Overview

Dagda provides a unified platform for securing container workloads. It performs static analysis of Docker images, cross‑referencing installed OS packages and language dependencies against a locally stored database of CVEs, Bugtraq IDs, Red Hat advisories, and known exploits. Integrated with ClamAV, it also detects trojans, viruses, and other malware embedded in images.

Capabilities

Beyond image inspection, Dagda monitors live containers using Falco, capturing Docker daemon events and anomalous system calls in real time. All findings—static and runtime—are persisted in MongoDB, enabling historical queries and trend analysis. The tool supports major Linux base images (Red Hat/CentOS/Fedora, Debian/Ubuntu, OpenSUSE, Alpine) and analyzes dependencies for Java, Python, Node.js, Ruby, PHP, and JavaScript via OWASP Dependency‑Check and Retire.js. Deployment requires Docker, MongoDB, Python 3.8+, and kernel headers for Falco integration, making it suitable for DevOps and security teams seeking comprehensive container security.

Highlights

Static vulnerability scanning using CVE, BID, RHSA, RHBA databases
Malware detection via ClamAV integration
Runtime anomaly detection with Falco
Multi‑language dependency analysis (Java, Python, Node.js, Ruby, PHP)

Pros

  • Unified view of static and runtime security findings
  • Extensible MongoDB store retains historical scan results
  • Supports major Linux base images
  • Leverages proven open‑source tools (ClamAV, Falco, OWASP Dependency‑Check)

Considerations

  • Requires a separate MongoDB instance
  • Setup complexity includes Docker, kernel headers, and Falco
  • Performance depends on size of vulnerability database
  • Limited to Linux containers; Windows not supported

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Fit guide

Great for

  • Security teams needing continuous container security posture
  • DevOps pipelines that want integrated image scanning
  • Organizations that already use MongoDB for data storage
  • Teams requiring both vulnerability and malware detection

Not ideal when

  • Small projects without container security requirements
  • Environments lacking MongoDB or unwilling to manage an extra service
  • Users seeking a lightweight, single‑binary scanner
  • Windows‑based container workloads

How teams use it

CI/CD pipeline image validation

Automatically reject Docker images containing known CVEs or malware before deployment.

Production container runtime monitoring

Detect and alert on anomalous system calls in live containers, enabling rapid incident response.

Historical vulnerability audit

Query MongoDB to track vulnerability trends across image versions over time.

Multi‑language dependency risk assessment

Identify outdated libraries in Java, Python, Node.js, Ruby, and PHP components within images.

Tech snapshot

Python99%
Shell1%
Dockerfile1%
Makefile1%

Tags

static-analysisvulnerabilitiesdetecting-anomalous-activitiesmalware-detectionsecuritydocker

Frequently asked questions

What vulnerability sources does Dagda import?

Dagda imports CVEs, Bugtraq IDs, Red Hat Security Advisories, Red Hat Bug Advisories, and exploits from the Offensive Security database into MongoDB.

Do I need root privileges to run Dagda?

Dagda runs as a regular user, but Docker commands may require appropriate permissions; adding the user to the docker group avoids sudo.

Can Dagda scan Windows containers?

Dagda currently supports only Linux‑based container images.

How does Dagda detect runtime anomalies?

Dagda integrates with Falco, which monitors system calls and Docker daemon events to flag suspicious activity.

Is there a REST API for automation?

Yes, Dagda provides a REST API alongside its CLI for programmatic interaction.

Project at a glance

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LicenseApache-2.0
Repo age9 years old
Last commit3 years ago
Primary languagePython

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