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Most web vulnerabilities stay exploitable via AI agents; interface design drives risk

AI/ML Measurement · Prototype · arXiv Threat model

The claim

AI-mediated access leaves 91% of tested web vulnerabilities exploitable, with interface restrictions being the primary factor

Ruozhao Yang, Jiongchi Yu, Ming Hu, Xiaofei Xie · arXiv Paper PDF

Published as: “The Agent in the Middle: How AI-Mediated Access Reshapes Web Vulnerability Exploitation”

So what

Designing agent-facing capabilities-especially limiting exposed operations and argument domains-is the primary lever to reduce exposure of existing web vulnerabilities.

The five-minute version

In the reference configuration, 91% of the 44 tested vulnerabilities remain exploitable when mediated by an AI agent, showing that the agent adds little protection beyond what the interface permits. Changing the capability design shifts exploitability dramatically, from 95% retention with an endpoint-oriented interface down to 39% with a query-oriented one, while the choice of agent only moves retention by up to 4.5 percentage points. The evidence comes from an executable benchmark (Vela) that reproduces real and deliberately vulnerable web apps, uses independent oracles, and compares native access, direct interface calls, and agent-mediated execution across three commercial LLM agents.

What they found 4

What undercuts it the paper’s own results

Stated limits 3

What’s new here 4

Threat model stated by the source

Adversarymalicious user who submits crafted requests or instructions to the agent
Capabilitycontrols the content of the user instructions and the attack payloads, but cannot modify the agent's system prompt or the interface implementation
Assumesattacker has the same identity and privileges as a legitimate user; backend retains its original logic and vulnerabilities; agent operates only through the published capabilities

Artifacts & methods 8

Topics

AI agentsagent-mediated web accesscapability-based interfacesweb vulnerability exploitationbenchmark evaluationinterface design impactLLM tool use
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