Getting to “Should I?”, Instead of “Can I?”: How XBOW Finds IDORs With High Accuracy in Ambiguous Contexts
xbow.com | blog | #ai-security | #agentic-ai | #appsec | #access-control | #idor | #authorization | #business-logic
Summary
XBOW explains why IDORs are design flaws that scanners miss, and how its context-aware reasoning models expected access patterns to find high-accuracy IDORs in ambiguous authorization contexts.
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- Collected
--- id: 5164 title: "Getting to “Should I?”, Instead of “Can I?”: How XBOW Finds IDORs With High Accuracy in Ambiguous Contexts" source_domain: xbow.com source_url: "https://xbow.com/blog/xbow-finds-idors-high-accuracy-ambiguous-context" published_at: "2026-05-28T12:00:00Z" tags: ["ai-security", "agentic-ai", "appsec", "access-control", "idor", "authorization", "business-logic"] phying_url: "https://phying.com/item/5164" lang: en --- # Getting to “Should I?”, Instead of “Can I?”: How XBOW Finds IDORs With High Accuracy in Ambiguous Contexts ## Summary XBOW explains why IDORs are design flaws that scanners miss, and how its context-aware reasoning models expected access patterns to find high-accuracy IDORs in ambiguous authorization contexts. ## Intelligence Metadata - **Sources:** xbow.com - **Published:** 2026-05-28T12:00:00Z - **Original:** https://xbow.com/blog/xbow-finds-idors-high-accuracy-ambiguous-context - **Phying News:** https://phying.com/item/5164