ai-llm-dos
Skill26 starsChanged 33 days agoMITView on GitHub
Unbounded-consumption / denial-of-wallet attacks on LLM apps — force runaway tokens, cost, or latency. Load when testing an LLM product's limits/billing, on "LLM DoS", cost amplification, or resource exhaustion. Signals: user-controlled prompts/max_tokens, agent loops, no rate/'cost caps'.
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The file
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LLM unbounded consumption (denial-of-wallet)
When it applies
An LLM feature lets users drive expensive computation with weak limits. Unlike classic DoS, the damage is often financial (the provider bills per token) — "denial of wallet" — plus latency/availability.
Why it works
Inference cost scales with tokens and calls. If the app lets users control input size, output
length (max_tokens), recursion (agent loops, tool chains), or call volume without hard caps, an
attacker amplifies cost/latency far beyond normal use.
Method
- Input amplification: send very long inputs, or inputs that induce very long outputs
("repeat X 10000 times", "write an exhaustive…"); push
max_tokensif client-controlled. - Recursion / loops: with agents, craft prompts that trigger long tool-call loops or
self-referential expansion (→
ai-agent-tool-abuse) that burn calls. - Volume: bypass rate limits (→
web-rate-limit-bypass) and fan out concurrent expensive requests. - Retrieval blow-up: in RAG, queries that pull huge context each call multiply token cost.
- Measure impact: latency spike, error/timeout rates, or (where visible) token/cost per request × achievable rate.
Gotchas
- Frame it as impact (cost/availability), not just "it was slow" — quantify tokens/cost or a service degradation.
- Respect RoE strictly — this can run up real bills / affect availability; prove with minimal, controlled requests, don't sustain an outage.
- Defenders: cap input/output tokens, per-user quotas & spend caps, loop/tool budgets, timeouts.
Verify success
A single request (or a modest, controlled burst) demonstrably drives disproportionate token/cost or latency — showing missing consumption limits.
References
OWASP LLM Top 10 (2025) LLM10; "denial of wallet" research; provider rate/quota docs.
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