Foxnode ASPM

No phone app

5.9No. 7 of 17
in Application Security Posture Management Software

Recognised40% of the score20
Phone app26% of the score0
Documented20% of the score99
Free plan14% of the score30

Free plan: No
Runs on: api, Linux, self-hosted, Web

Summary

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.

Who it is for

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.

What is good

Aggregates and deduplicates findings from 16+ scanners
Integrates with Jira and Slack
Maps findings to named compliance frameworks
Includes SBOM inventory and risk scoring

What to know first

Local development requires Python 3.12+, Node.js 20+, PostgreSQL 16+, and Redis 7+
Recommended deployment uses Docker Compose

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.

Compared on application security posture management software

Free plan: Yesgithub.com
Finding correlation: Yesgithub.com
Risk prioritization: Yesgithub.com
Remediation workflows: Yesgithub.com
SBOM management: Yesgithub.com
Deployment options: self_hostedgithub.com

Facts

Product purpose: FoxNode ASPM manages application security vulnerabilities across a software portfolio.github.com · 1 Oct 2026
Scanner aggregation: It aggregates findings from 16+ security scanners and deduplicates them.github.com · 1 Oct 2026
Scanner support: Built-in parsers cover Semgrep, Trivy, Snyk, ZAP, Nuclei, Gitleaks, Bandit, Checkov, SonarQube, Prowler, tfsec, TruffleHog, OWASP Dependency-Check, SARIF, and generic JSON/CSV tools.github.com · 1 Oct 2026
Integrations: The platform integrates with Jira for issue creation and status synchronization and Slack for alerts.github.com · 1 Oct 2026
AI capabilities: Features include AI finding triage, an AI security agent, AI remediation recommendations, and an LLM/AI security scanner.github.com · 1 Oct 2026
Compliance: Compliance mapping covers OWASP Top 10, PCI-DSS, SOC 2, CIS Benchmarks, and ISO 27001.github.com · 1 Oct 2026
Access control: Role-based access control provides Admin, Manager, Analyst, and Viewer roles.github.com · 1 Oct 2026
Deployment: The recommended deployment uses Docker Compose, with nginx and GitHub Actions included in the stack.github.com · 1 Oct 2026
API: A REST API supports CI/CD pipeline integration and scan-result imports.github.com · 1 Oct 2026
Technical requirements: Local development requires Python 3.12+, Node.js 20+, PostgreSQL 16+, and Redis 7+.github.com · 1 Oct 2026
License: FoxNode ASPM is released under the MIT License.github.com · 1 Oct 2026
Contributor support: The project welcomes contributions and provides contribution steps including running backend pytest tests.github.com · 1 Oct 2026
Product: FoxNode ASPM is an open-source platform for managing application security vulnerabilities across a software portfolio.github.com · 2 Oct 2026
Scanner imports: It includes 16 built-in parsers and accepts scan results in JSON, CSV, XML, JSONL, and SARIF formats.github.com · 2 Oct 2026
Deduplication: Hash-based deduplication prevents duplicate findings across scans.github.com · 2 Oct 2026
Dashboards: The dashboard reports severity distribution, scanner breakdown, risk trends, and vulnerable products.github.com · 2 Oct 2026
Deployment and API: The project supports Docker Compose deployment and provides a REST API for CI/CD pipeline integration.github.com · 2 Oct 2026
Security analysis: Features include AI finding triage, attack-path analysis, an AI security agent, and AI remediation recommendations.github.com · 2 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 · 2 Oct 2026
Supply chain: The SBOM feature provides component inventory, license tracking, and supply-chain risk scoring.github.com · 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 · 2 Oct 2026
Requirements: The listed local-development prerequisites are Python 3.12+, Node.js 20+, PostgreSQL 16+, and Redis 7+.github.com · 2 Oct 2026