Scanning Container Images with Grype
Overview
Grype is an open-source vulnerability scanner from Anchore that inspects container images, filesystems, and SBOMs for known CVEs. It leverages Syft-generated SBOMs to match packages against multiple vulnerability databases including NVD, GitHub Advisories, and OS-specific feeds.
When to Use
Trigger phrases:
"scanning container images with grype"
"Scan container images for known vulnerabilities using Anchore Grype with SBOM-ba"
When conducting security assessments that involve scanning container images with grype
When following incident response procedures for related security events
When performing scheduled security testing or auditing activities
When validating security controls through hands-on testing
Prerequisites
- Docker or Podman installed
- Grype CLI installed (
curl -sSfL https://raw.githubusercontent.com/anchore/grype/main/install.sh | sh -s -- -b /usr/local/bin) - Syft CLI (optional, for SBOM generation)
- Network access to pull vulnerability databases
Core Commands
This section covers core commands for scanning container images with grype.
- Ensure all prerequisites are met before proceeding
- Follow the documented workflow steps in sequence
- Record results and any anomalies encountered during this phase
Install Grype
# Install via script
curl -sSfL https://raw.githubusercontent.com/anchore/grype/main/install.sh | sh -s -- -b /usr/local/bin
# Verify installation
grype version
# Install via Homebrew (macOS/Linux)
brew install grype
Scan Container Images
# Scan a Docker Hub image
grype nginx:latest
# Scan from Docker daemon
grype docker:myapp:1.0
# Scan a local archive
grype docker-archive:image.tar
# Scan an OCI directory
grype oci-dir:path/to/oci/
# Scan a Singularity image
grype sif:image.sif
# Scan a local directory / filesystem
grype dir:/path/to/project
Output Formats
# Default table output
grype alpine:3.18
# JSON output for pipeline processing
grype alpine:3.18 -o json > results.json
# CycloneDX SBOM output
grype alpine:3.18 -o cyclonedx
# SARIF output for GitHub Security tab
grype alpine:3.18 -o sarif > grype.sarif
# Template-based custom output
grype alpine:3.18 -o template -t /path/to/template.tmpl
Filtering and Thresholds
# Fail if vulnerabilities meet or exceed a severity
grype nginx:latest --fail-on critical
# Show only fixed vulnerabilities
grype nginx:latest --only-fixed
# Show only non-fixed vulnerabilities
grype nginx:latest --only-notfixed
# Filter by severity
grype nginx:latest --only-fixed -o json | jq '[.matches[] | select(.vulnerability.severity == "High")]'
# Explain a specific CVE
grype nginx:latest --explain --id CVE-2024-1234
Working with SBOMs
# Generate SBOM with Syft then scan
syft nginx:latest -o spdx-json > nginx-sbom.json
grype sbom:nginx-sbom.json
# Scan CycloneDX SBOM
grype sbom:bom.json
Configuration File (.grype.yaml)
# .grype.yaml
check-for-app-update: false
fail-on-severity: "high"
output: "json"
scope: "squashed" # or "all-layers"
quiet: false
ignore:
- vulnerability: CVE-2023-12345
reason: "False positive - not exploitable in our context"
- vulnerability: CVE-2023-67890
fix-state: unknown
db:
auto-update: true
cache-dir: "/tmp/grype-db"
max-allowed-built-age: 120h # 5 days
match:
java:
using-cpes: true
python:
using-cpes: true
javascript:
using-cpes: false
CI/CD Integration
# GitHub Actions
- name: Scan image with Grype
uses: anchore/scan-action@v4
with:
image: "myregistry/myapp:${{ github.sha }}"
fail-build: true
severity-cutoff: high
output-format: sarif
id: scan
- name: Upload SARIF
uses: github/codeql-action/upload-sarif@v3
with:
sarif_file: ${{ steps.scan.outputs.sarif }}
# GitLab CI
container_scan:
stage: test
image: anchore/grype:latest
script:
- grype ${CI_REGISTRY_IMAGE}:${CI_COMMIT_SHA} --fail-on high -o json > grype-report.json
artifacts:
reports:
container_scanning: grype-report.json
Database Management
# Check database status
grype db status
# Manually update vulnerability database
grype db update
# Delete cached database
grype db delete
# List supported database providers
grype db list
Key Vulnerability Sources
| Source | Coverage |
|---|---|
| NVD | CVEs across all ecosystems |
| GitHub Advisories | Open source package vulnerabilities |
| Alpine SecDB | Alpine Linux packages |
| Amazon Linux ALAS | Amazon Linux AMI |
| Debian Security Tracker | Debian packages |
| Red Hat OVAL | RHEL, CentOS |
| Ubuntu Security | Ubuntu packages |
| Wolfi SecDB | Wolfi/Chainguard images |
Best Practices
- Pin image tags - Always scan specific digests, not
latest - Fail on severity - Set
--fail-on highorcriticalin CI gates - Use SBOMs - Generate SBOMs with Syft for reproducible scanning
- Suppress false positives - Use
.grype.yamlignore rules with documented reasons - Scan all layers - Use
--scope all-layersto catch vulnerabilities in intermediate layers - Automate database updates - Keep the vulnerability database current in CI runners
- Compare scans - Track vulnerability count over time for regression detection
When NOT to Use
- You need to perform manual testing (use performing-* skills)
- Task is about analyzing scan results (use analyzing-* skills)
- You need to implement scanning tools (use implementing-* skills)
- Task is about building scanning infrastructure (use building-* skills)
- You don't have network access to targets
- Task requires compliance validation (use auditing-* skills)
Red Flags
- Performing actions without explicit written authorization from the asset owner
- Testing against production systems without a defined scope and rules of engagement
- Failing to use write-blockers when acquiring forensic evidence
- Not verifying hash integrity before and after imaging
- Modifying original evidence during analysis
Verification
- All steps executed successfully against a test environment before production use
- Output documented with screenshots or logs demonstrating expected behavior
- Hash values computed and verified match between source and image
- Chain of custody log complete with timestamps and examiner names
- Analysis tools and versions documented for reproducibility
Process
- Analyze the task requirements
- Apply domain expertise
- Verify output quality
Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |