Chatter Attack Resource Consumption Technique for Large Language Models

# Chatter Attack Resource Consumption Technique for Large Language Models

https://gcdradar.vercel.app/incidents/chatter-attack-resource-consumption-technique-for-large-lang · AIR-2026-1883 · live

- Lane: Research
- Severity: 1 (Research / proof of concept): Demonstrated proof-of-concept attack without observed real-world exploitation
- Fix status: Fix status unknown
- First reported: 2026-11-10
- AI role: Attack on AI

## Summary

Researchers demonstrated Chatter Attack, an attack technique that induces large language models into generating excessively long outputs during inference. The approach significantly drives up computational latency and operational hosting costs.

## What to do

Implement strict inference timeout thresholds and maximum output token limits to limit exposure to resource consumption attacks.

## Latest updates

- 2026-11-10: Chatter Attack: Resource Consumption Attack for Large Language Models (https://arxiv.org/abs/2611.11261)

## Sources

- 2026-11-10 arXiv: Chatter Attack: Resource Consumption Attack for Large Language Models https://arxiv.org/abs/2611.11261

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