Potential Abuse of Resources by High Token Count and Large Response Sizes
Detects potential resource exhaustion or data breach attempts by monitoring for users who consistently generate high input token counts, submit numerous requests, and receive large responses. This behavior could…
Description
Detects potential resource exhaustion or data breach attempts by monitoring for users who consistently generate high input token counts, submit numerous requests, and receive large responses. This behavior could indicate an attempt to overload the system or extract an unusually large amount of data, possibly revealing sensitive information or causing service disruptions.
Detection logic
Its licence does not clear it for publishing here
Sunturai publishes a detection's own text where the licence it arrived under has been reviewed and permits it, and Elastic License 2.0 has not. The query as its source wrote it, its canonical form and the hash that pins this revision are in the workspace record.
Known benign triggers
- Authorized heavy usage of the system that is business justified and monitored.
MITRE ATT&CK mappings
Not mapped to ATT&CK.
References
| Reference | Cited by |
|---|---|
| atlas.mitre.org/techniques/AML.T0051 | 8 |
| owasp.org/www-project-top-10-for-large-language-model-applications/ | 2 |
| www.elastic.co/security-labs/elastic-advances-llm-security | 21 |
From the source
- At source
- Open at source
- Upstream identifier
- b1773d05-f349-45fb-9850-287b8f92f02d
- Tagged by the source as
- Data Source: Amazon Web ServicesData Source: AWS BedrockData Source: AWS S3Domain: LLMMitre Atlas: LLM04Resources: Investigation GuideUse Case: Potential OverloadUse Case: Resource Exhaustion
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Aug 27, 2026
- Version
- 1