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Updated 7/21/2026, database is current

Language Model Security Database

959 research findings · 1077 evaluated models

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LLM Risk Amplification

Updated 12/9/2025

Vision Language Models (VLMs) are vulnerable to visual prompt injection attacks via text-to-image obfuscation. While these models often possess safety guardrails for standard text-based inputs, they fail to apply equivalent safety alignment to textual instructions embedded visually within an image. An attacker can overlay malicious instructions (e.g., requests for illegal acts, hate speech) onto an image file and submit it to the model. The model’s Optical Character Recognition (OCR) or visual…

Lessons from red teaming 100 generative ai products
Affects: GPT-4, Phi-3

Source: arXiv

Model layer
Application layer
Prompt layer
Injection

Research methodology

Entries summarize publicly available primary-source security research. Model names reflect only systems explicitly evaluated by the cited paper, and measurements are research-reported unless independent verification is stated.