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Foxnode ASPM
What it is
Foxnode ASPM is an open-source platform for managing application security vulnerabilities across a software portfolio. It brings together findings from more than 16 scanners, deduplicates results, and displays severity distribution, scanner breakdown, risk trends, and vulnerable products. Built-in parsers cover tools including Semgrep, Trivy, Snyk, ZAP, Nuclei, Gitleaks, Bandit, Checkov, SonarQube, and Prowler; it also accepts formats such as JSON, CSV, XML, JSONL, and SARIF. Jira integration supports issue creation and status synchronization, while Slack can receive alerts. Analysis features include AI finding triage, attack-path analysis, an AI security agent, remediation recommendations, and an LLM/AI scanner for issues such as prompt injection and data poisoning. Findings can be mapped to OWASP Top 10, PCI-DSS, SOC 2, CIS Benchmarks, and ISO 27001, with gap analysis. Its SBOM feature covers component inventory, license tracking, and supply-chain risk scoring. Deployment supports Docker Compose, and a REST API enables CI/CD integration.
For and against
For
- Aggregates and deduplicates findings from 16+ scanners
- Integrates with Jira and Slack
- Maps findings to named compliance frameworks
- Includes SBOM inventory and risk scoring
Against
- Local development requires Python 3.12+, Node.js 20+, PostgreSQL 16+, and Redis 7+
- Recommended deployment uses Docker Compose
The verdict
Foxnode ASPM combines scanner aggregation, finding analysis, compliance mapping, and SBOM features in one platform. Teams should account for its stated local-development prerequisites.
Who it suits
Foxnode ASPM suits teams consolidating application-security scan findings across a portfolio. Its compliance mapping, integrations, and CI/CD API may fit security workflows that use those capabilities.
On the record
- Access control
- Role-based access control provides Admin, Manager, Analyst, and Viewer roles with granular permissions.github.com · read 2 Oct 2026
- AI and ML scanning
- The LLM/AI scanner detects issues including prompt injection and data poisoning, mapped to the OWASP LLM Top 10.github.com · read 2 Oct 2026
- AI capabilities
- Features include AI finding triage, an AI security agent, AI remediation recommendations, and an LLM/AI security scanner.github.com · read 1 Oct 2026
- API
- A REST API supports CI/CD pipeline integration and scan-result imports.github.com · read 1 Oct 2026
- Compliance
- Compliance mapping covers OWASP Top 10, PCI-DSS, SOC 2, CIS Benchmarks, and ISO 27001.github.com · read 1 Oct 2026
- Compliance mapping
- Findings can be mapped to OWASP Top 10, PCI-DSS, SOC 2, CIS Benchmarks, and ISO 27001 with gap analysis.github.com · read 2 Oct 2026
- Contributor support
- The project welcomes contributions and provides contribution steps including running backend pytest tests.github.com · read 1 Oct 2026
- Dashboards
- The dashboard reports severity distribution, scanner breakdown, risk trends, and vulnerable products.github.com · read 2 Oct 2026
- Deduplication
- Hash-based deduplication prevents duplicate findings across scans.github.com · read 2 Oct 2026
- Deployment
- The recommended deployment uses Docker Compose, with nginx and GitHub Actions included in the stack.github.com · read 1 Oct 2026
- Deployment and API
- The project supports Docker Compose deployment and provides a REST API for CI/CD pipeline integration.github.com · read 2 Oct 2026
- Integrations
- Jira integration can create issues from findings with mapped severity, labels, and bidirectional status sync; Slack sends configurable alerts for findings and scan completions.github.com · read 2 Oct 2026
- License
- The repository states that FoxNode ASPM is released under the MIT License.github.com · read 2 Oct 2026
- Product
- FoxNode ASPM is an open-source platform for managing application security vulnerabilities across a software portfolio.github.com · read 2 Oct 2026
- Product purpose
- FoxNode ASPM manages application security vulnerabilities across a software portfolio.github.com · read 1 Oct 2026
- Requirements
- The listed local-development prerequisites are Python 3.12+, Node.js 20+, PostgreSQL 16+, and Redis 7+.github.com · read 2 Oct 2026
- Scanner aggregation
- It aggregates findings from 16+ security scanners and deduplicates them.github.com · read 1 Oct 2026
- Scanner imports
- It includes 16 built-in parsers and accepts scan results in JSON, CSV, XML, JSONL, and SARIF formats.github.com · read 2 Oct 2026