Last analyzed 9/9/2026

Language Model Security Database

Explore primary-source AI security research, evaluated models, attack techniques, and defensive evidence.

985 research findings · 1123 evaluated models

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21 entries

Matches every word across titles, descriptions, sources, affected systems, and models.

GPT-4v System Prompt Leakage

Published 11/1/2023

Analyzed 12/29/2024

A system prompt leakage vulnerability in GPT-4V allows extraction of internal system prompts through carefully crafted, incomplete conversations combined with image input. Extracted prompts can be used as highly effective jailbreak prompts, bypassing safety restrictions and leading to undesirable outputs, including revealing personally identifiable information from images.

Jailbreaking gpt-4v via self-adversarial attacks with system prompts

Evaluated models: GPT-4, GPT-4V, LLaVA 1.5

Source: arXiv

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.