AI Context Scanner
Claude API: app analysis → targeted test plan, smart payload generation, finding triage (false positive detection), business logic risk identification. Max 5 API calls/scan. Part of AuditCore's automated security audit pipeline — runs on every scan in the Enterprise tier and above, with findings normalized into a single severity-rated table.
What is AI Context Scanner?
AI Context Scanner runs in the Injection & Active Tests phase of every AuditCore scan that includes it. Active payload-based scanning — SQL, NoSQL, command, template, XXE, SSRF, prototype pollution, race conditions, AI prompt injection, business-logic abuse, plus full ZAP / Nuclei / sqlmap.
Out of the box it covers: Claude API: app analysis → targeted test plan, smart payload generation, finding triage (false positive detection), business logic risk identification. Max 5 API calls/scan. Findings are normalized into AuditCore's vulnerability model so they appear next to results from every other scanner — no separate tabs, no tool-specific jargon, one CVSS-rated table.
If you've ever wondered which scanners actually run when you click "Start scan" on AuditCore, this is one of them. The full pipeline is documented per phase, and you can see exactly which tools fired on any given scan from the live terminal feed.
What it tests
- Claude API: app analysis → targeted test plan, smart payload generation, finding triage (false positive detection), business logic risk identification. Max 5 API calls/scan
- Runs automatically as part of any Enterprise-tier scan and above
- Findings appear in the standard AuditCore severity table (Critical / High / Medium / Low / Info)
- Results are bundled into the PDF report and exposed via the API
Where it runs in the AuditCore pipeline
Phase 4/5 · Injection & Active Tests
Active payload-based scanning — SQL, NoSQL, command, template, XXE, SSRF, prototype pollution, race conditions, AI prompt injection, business-logic abuse, plus full ZAP / Nuclei / sqlmap.
Source: scanners/ai_context_scanner.py
Sample findings
AI Context Scanner fired on a real target
Typical run produces between 0 and dozens of normalized findings depending on the target's posture. Each finding includes severity, evidence, affected URL/parameter, and a remediation hint.
Other injection & active tests scanners
FAQ
What does AI Context Scanner test for?
Claude API: app analysis → targeted test plan, smart payload generation, finding triage (false positive detection), business logic risk identification. Max 5 API calls/scan
Which AuditCore plan includes AI Context Scanner?
Available from the Enterprise plan ($499) and up. Higher tiers also include this scanner — license once, rescan unlimited.
Is AI Context Scanner safe to run on production?
AI Context Scanner runs active payloads, so we recommend running it against a staging environment first. AuditCore caps risk levels (e.g. sqlmap uses --technique=BEU only, no stacked queries; nmap uses safe NSE scripts) but you should still get authorization before scanning production systems you don't own.
Where does AI Context Scanner run in the AuditCore scan pipeline?
Phase 4/5 — Injection & Active Tests. Active payload-based scanning — SQL, NoSQL, command, template, XXE, SSRF, prototype pollution, race conditions, AI prompt injection, business-logic abuse, plus full ZAP / Nuclei / sqlmap.
Can I rerun AI Context Scanner without paying again?
Yes. AuditCore uses a per-domain license model — once you've purchased a tier for a domain, every rescan (manual or scheduled) is included. No metered usage.