CapLite: Evaluating Prompt-Injection Vulnerabilities in Small Language Models

# CapLite: Evaluating Prompt-Injection Vulnerabilities in Small Language Models

https://gcdradar.vercel.app/incidents/caplite-evaluating-prompt-injection-vulnerabilities-in-small · AIR-2026-1965 · live

- Lane: Research
- Severity: 1 (Research / proof of concept): Research paper demonstrating model limitations and vulnerabilities without real-world exploitation.
- Fix status: Fix status unknown
- First reported: 2026-11-13
- AI role: Attack on AI

## Summary

Researchers evaluated whether small language model agents can reliably write security artifacts for enforcement defenses. Testing across 15 open-weight models showed that generated policies frequently admit prompt injection attacks.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-11-13: CapLite: Prompt-Injection Defense for Small Language Model Agents without Model-Written Security Artifacts (https://arxiv.org/abs/2611.17115)

## Sources

- 2026-11-13 arXiv: CapLite: Prompt-Injection Defense for Small Language Model Agents without Model-Written Security Artifacts https://arxiv.org/abs/2611.17115

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.