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OpenClaw agents exhibit widespread trust-boundary security flaws

Software Measurement · Maturity unclear · arXiv

The claim

OpenClaw’s agentic system suffers numerous recurring security weaknesses across its execution pipeline

Mostafijur Rahman Akhond, Mahmuda Khatun, Gias Uddin · arXiv Paper PDF

Published as: “Then there is prompt injection, a malicious email, ...: The Wild Wide West of OpenClaw Agentic System Security”

So what

Deployers of OpenClaw-like agents need built-in, defense-in-depth controls across the entire execution pipeline rather than relying on optional user-level hardening.

The five-minute version

OpenClaw security concerns are dominated by trust-boundary failures, with 521 CWE instances across 59 weakness types, especially access-control failures, sensitive-data exposure, injection, and unsafe execution. The study analyzes 162 security-relevant Reddit posts and 180 validated GitHub issues, extracting 543 practitioner mitigation suggestions that are grouped into seven defense-in-depth strategies. Evidence comes from public community reports rather than controlled experiments, and while the authors report zero false negatives in sampled LLM-filter audits, they acknowledge the counts are lower-bound estimates and not exhaustive.

What they found 2

What undercuts it the paper’s own results

Stated limits 3

What’s new here 4

Artifacts & methods 6

Topics

LLM agentic systemsCWE taxonomyprompt injectionaccess control failurestool invocation securitypersistent memory attacksdefense-in-depth for AI agents
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