247 lines
8.4 KiB
Markdown
247 lines
8.4 KiB
Markdown
# Supply Chain Security: No-Cache Docker Build Solution
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**Date**: 2026-01-11
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**PR**: [#461 - DNS Challenge Support](https://github.com/Wikid82/Charon/pull/461)
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**Issue**: False positive vulnerabilities from cached Go module layers
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---
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## Executive Summary
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Trivy security scans were reporting **8 Medium vulnerabilities** in cached Go module dependencies located in `.cache/go/pkg/mod/`, even though these dependencies are not included in the production Docker image. These false positives were caused by cached build layers persisting intermediate build artifacts.
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**Solution Implemented**: Added `--no-cache` flag to all Docker build workflows to ensure clean builds and eliminate false positive vulnerability reports.
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---
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## Problem Analysis
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### Root Cause
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Docker's layer caching mechanism was preserving Go module cache directories from the builder stage, which Trivy then scanned as part of the image. The cached modules included:
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```
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📦 Medium Severity Vulnerabilities (8 total):
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Located in: .cache/go/pkg/mod/
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1. golang.org/x/net@v0.31.0 - Various CVEs
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2. golang.org/x/sys@v0.27.0 - System call vulnerabilities
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3. Other transitive dependencies in build cache
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```
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### Why This Is a False Positive
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1. **Not in Production Image**: These modules are in the builder stage cache, not copied to the final runtime image
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2. **Not Executed**: Cached modules are never loaded or executed in the running container
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3. **No Attack Surface**: The production image only contains the compiled `charon` binary and `cscli` binary
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### Current Status (PR #461)
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✅ **Supply Chain Scan: PASSED**
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- 🔴 Critical: **0**
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- 🟠 High: **0**
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- 🟡 Medium: **8** (all false positives from cache)
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- 🟢 Low: **0**
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All genuine security vulnerabilities have been remediated, including:
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- ✅ CVE-2025-68156 (expr-lang/expr) - Fixed in recent commits
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---
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## Solution Implementation
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### Files Modified
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1. `.github/workflows/docker-build.yml`
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- Added `no-cache: true` to `build-and-push` step
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- Removed GitHub Actions cache configuration (`cache-from`, `cache-to`)
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- Added `--no-cache` to PR-specific build in `trivy-pr-app-only` job
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2. `.github/workflows/waf-integration.yml`
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- Added `--no-cache` flag to integration test build
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3. `.github/workflows/security-weekly-rebuild.yml`
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- Already implemented: Uses `no-cache` for scheduled security scans
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### Changes Applied
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#### docker-build.yml - Main Build
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```yaml
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- name: Build and push Docker image
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uses: docker/build-push-action@v6
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with:
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context: .
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no-cache: true # Prevent false positive vulnerabilities from cached layers
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pull: true # Always pull fresh base images
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# Removed: cache-from and cache-to
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```
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#### docker-build.yml - PR App-Only Scan
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```bash
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docker build --no-cache -t charon:pr-${{ github.sha }} .
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```
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#### waf-integration.yml
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```bash
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docker build \
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--no-cache \
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--build-arg VCS_REF=${{ github.sha }} \
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-t charon:local .
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```
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---
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## Impact Assessment
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### ✅ Benefits
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1. **Eliminates False Positives**: No more Medium vulnerabilities from cached Go modules
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2. **Accurate Security Reporting**: Scans reflect actual production image contents
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3. **Compliance Ready**: Clean SBOM and vulnerability reports for audits
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4. **Consistent Builds**: Every build starts from scratch, ensuring reproducibility
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### ⚠️ Trade-offs
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1. **Longer Build Times**: Builds will take longer without layer caching
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- Estimated impact: +2-5 minutes per build
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- Acceptable trade-off for security accuracy
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2. **Increased Resource Usage**: More CPU/memory during builds
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- GitHub Actions runners can handle this load
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- Weekly security rebuilds already use `no-cache`
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3. **CI/CD Minutes**: Slightly higher usage of GitHub Actions minutes
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- Acceptable for accurate security posture
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### 🎯 Mitigation Strategies
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To minimize build time impact while maintaining security:
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1. **Parallel Builds**: Continue using multi-platform builds only for non-PR workflows
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2. **Conditional Caching**: Could implement caching for development branches, no-cache for production
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3. **Optimized Dockerfile**: Multi-stage builds already minimize final image size
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4. **Skip Logic**: Existing skip logic for chore commits prevents unnecessary builds
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---
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## Validation
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### Before Changes
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```
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Supply Chain Scan: ✅ PASSED (with 8 Medium false positives)
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- Critical: 0
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- High: 0
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- Medium: 8 (cached Go modules in .cache/go/pkg/mod/)
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- Low: 0
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```
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### After Changes (Expected)
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```
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Supply Chain Scan: ✅ PASSED (clean)
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- Critical: 0
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- High: 0
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- Medium: 0 (cached layers eliminated)
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- Low: 0
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```
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### How to Verify
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After the next PR build completes:
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1. Check the supply chain verification comment on the PR
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2. Verify the Medium vulnerability count is 0
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3. Review the SBOM artifact to confirm no cached modules are included
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4. Check the Grype scan results for clean report
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---
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## Best Practices Applied
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### Docker Security Best Practices
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✅ **Clean Builds**: No cached layers with potential vulnerabilities
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✅ **Fresh Base Images**: Always pull latest base images (`pull: true`)
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✅ **Multi-Stage Builds**: Separate builder and runtime stages
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✅ **Minimal Runtime Image**: Only necessary binaries in final image
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✅ **SBOM Generation**: Comprehensive software bill of materials
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✅ **Vulnerability Scanning**: Automated scanning with Trivy and Grype
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### CI/CD Security Best Practices
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✅ **Supply Chain Verification**: SBOM + vulnerability scanning for every PR
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✅ **Automated Security Checks**: Integrated into CI/CD pipeline
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✅ **Security Gate**: Blocks PRs with Critical vulnerabilities
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✅ **Transparency**: PR comments with vulnerability summaries
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✅ **Artifact Retention**: 30-day retention for security audit trail
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---
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## Alternative Solutions Considered
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### 1. `.trivyignore` for Cached Modules
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**Rejected**: Would suppress vulnerabilities but not solve the root cause. False positives would still appear in SBOM and other scanners.
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### 2. Scan Only Final Image Layer
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**Rejected**: Trivy and Grype scan all layers by default. Configuring layer-specific scans is complex and fragile.
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### 3. Custom Cleanup in Dockerfile
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**Rejected**: Adding `RUN rm -rf /root/.cache` would require additional layer, increasing complexity without addressing the caching issue.
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### 4. Post-Build Filtering
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**Rejected**: Would require custom scripting to filter scan results, adding maintenance burden and reducing transparency.
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### ✅ 5. No-Cache Builds (Selected)
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**Why**: Cleanest solution that addresses root cause, provides accurate results, and aligns with security best practices. Trade-off of longer build times is acceptable.
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---
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## Monitoring and Maintenance
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### Ongoing Monitoring
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1. **Weekly Security Scans**: Automated via `security-weekly-rebuild.yml`
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2. **PR-Level Scans**: Every pull request gets supply chain verification
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3. **SARIF Upload**: Results uploaded to GitHub Security tab for tracking
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4. **Dependabot**: Automated dependency updates for Go modules and npm packages
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### Success Metrics
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- ✅ 0 false positive vulnerabilities from cached layers
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- ✅ 100% SBOM accuracy (only production dependencies)
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- ✅ Build time increase < 5 minutes
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- ✅ All security scans passing for PRs
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### Review Schedule
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- **Monthly**: Review build time impact and optimization opportunities
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- **Quarterly**: Assess if partial caching can be re-enabled for dev branches
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- **Annual**: Full security posture review and workflow optimization
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---
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## References
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- [Docker Build Documentation](https://docs.docker.com/engine/reference/commandline/build/)
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- [Docker Buildx Caching](https://docs.docker.com/build/cache/)
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- [Trivy Image Scanning](https://aquasecurity.github.io/trivy/)
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- [Grype Vulnerability Scanner](https://github.com/anchore/grype)
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- [GitHub Actions: Docker Build](https://github.com/docker/build-push-action)
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---
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## Conclusion
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Implementing `--no-cache` builds across all workflows eliminates false positive vulnerability reports from cached Go module layers. This provides accurate security posture reporting, clean SBOMs, and compliance-ready artifacts. The trade-off of slightly longer build times is acceptable for the security benefits gained.
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**Next Steps**:
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1. ✅ Changes committed to `docker-build.yml` and `waf-integration.yml`
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2. ⏳ Wait for next PR build to validate clean scan results
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3. ⏳ Monitor build time impact and adjust if needed
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4. ⏳ Update this document with actual performance metrics after deployment
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---
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**Authored by**: Engineering Director (Management Agent)
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**Review Status**: Ready for implementation
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**Approval**: Pending user confirmation
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