The Red Agent POV: Exploiting Broken Object-Level Authorization in an Airline GraphQL API

· Source: wiz.io - Www.wiz.io · Field: Technology & Digital — Cybersecurity & Data Privacy, Artificial Intelligence & Machine Learning · Depth: Intermediate, medium

Summary

Wiz's Red Agent, an autonomous AI agent, uncovered a critical Broken Object-Level Authorization (BOLA) vulnerability in an airline's GraphQL booking API. Operating with zero prior knowledge, the agent autonomously mapped the backend architecture, established an anonymous session, and verified mass data extraction within 15 minutes. The exploit leveraged the API's use of sequential integer identifiers without proper backend authorization checks, a flaw ranked #1 on the OWASP API Security Top 10 list. This allowed the Red Agent, using an anonymous session, to access and modify high-profile passenger data, including names, dates of birth, billing addresses, masked credit cards, and live flight itineraries for two years of records. The vulnerability also granted read and write capabilities, enabling actions like altering contact emails, deleting flight segments, or overriding flight pricing. Traditional DAST scanners are blind to such logic flaws.

Key takeaway

For Security Engineers evaluating API defenses, recognize that autonomous AI agents like the Red Agent can rapidly exploit fundamental authorization flaws. Your focus must shift beyond perimeter security to robust, context-aware authorization at the object level within microservices and GraphQL APIs. Implement strict access checks on every resolver and use non-sequential, non-guessable identifiers. Restrict GraphQL introspection in production to prevent attackers from mapping your entire backend schema.

Key insights

Autonomous AI agents can exploit basic authorization flaws in GraphQL APIs within minutes.

Principles

Method

The Red Agent mapped client-side JavaScript, minted an anonymous session, performed GraphQL schema introspection, and formulated targeted mutations to exploit sequential booking IDs.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Security Engineer, Security Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by wiz.io - Www.wiz.io.