Astra for Education

What middleBrick covers

Black-box API scanning with risk scoring in under a minute
Coverage aligned to OWASP API Top 10, PCI-DSS, and SOC 2
Authenticated scans with header allowlist and domain verification
LLM adversarial probes to test AI security surface risks
CI/CD integration with GitHub Action and score gating
Continuous monitoring with diff detection and HMAC-SHA256 webhooks

API Security Posture for Educational Environments

Educational institutions expose course catalogs, enrollment portals, and research repositories through public APIs. These surfaces often carry sensitive student data and research outputs, requiring a security scanner that operates without code access or agents. This tool runs black-box checks against any endpoint, returning a risk score and prioritized findings within a minute. The approach is read-only, avoiding destructive tests while still surfacing configuration weaknesses that commonly affect academic and administrative systems.

Detection Coverage and Mapping to Frameworks

The scanner evaluates 12 security categories aligned to the OWASP API Top 10 (2023), including authentication bypass, IDOR, privilege escalation, and LLM/AI security probes. Findings map directly to PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023) controls, providing clear audit evidence for these frameworks. For other standards, the results help you prepare for and align with security controls described in HIPAA, GDPR, ISO 27001, NIST, CCPA, and related regulations, while the tool remains a scanner that does not certify compliance.

Authenticated Scanning and Safe Operation

Authenticated scans support Bearer tokens, API keys, Basic auth, and cookies, gated by domain verification to ensure only domain owners can submit credentials. The scanner forwards a restricted allowlist of headers and uses read-only methods such as GET and HEAD, supplemented by text-only POST for LLM probes. Private IPs, localhost, and cloud metadata endpoints are blocked at multiple layers, and sensitive scan data can be deleted on demand, supporting responsible disclosure and research ethics common in education.

Integration and Monitoring Workflows

Results are accessible via a web dashboard with score trends and branded compliance PDFs, or through the CLI using a simple command like middlebrick scan https://api.university.edu. CI/CD gates are supported through a GitHub Action that fails builds when scores drop below a threshold, and scheduled rescans provide continuous monitoring with diff detection. HMAC-SHA256 signed webhooks and email alerts keep stakeholders informed while protecting scan integrity.

Limitations and Complementary Testing

The tool does not perform active SQL injection or command injection, as those require intrusive payloads outside its scope. It does not detect business logic vulnerabilities, blind SSRF, or fully replace a human pentester for high-stakes audits. Security teams should treat its output as part of a broader program, combining automated scans with manual review to address complex academic workflows and research-specific data flows.

Frequently Asked Questions

Can this scanner be used for student data protection assessments?

Yes, it can surface authentication, data exposure, and encryption issues relevant to student data, while mapping findings to recognized security frameworks.

Does the tool store or train models on submitted API schemas?

No, customer scan data is never used for model training and is purged within 30 days of cancellation.

How are false positives handled in automated CI/CD gates?

The scanner reports deterministic findings with evidence; teams can adjust thresholds and use the diff feature to track changes between scans to reduce noise.

Is sensitive research data at risk during scanning?

The scanner uses read-only methods and blocks dangerous payloads, minimizing risk, but sensitive endpoints should be tested in controlled environments with appropriate permissions.