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JOOD

naver-ai/JOOD

Implementation for multimodal LLM jailbreaking strategy

GitHub

GraphCanon updated Oct 5, 2026 · GitHub synced Oct 5, 2026

40views this month

22 stars5 forksLast push Jun 11, 2025 Python Apache-2.0

Decision brief

JOOD is an implementation for exploring strategies to jailbreak language and multimodal models using out-of-distribution inputs. It leverages Python and is licensed under Apache-2.0.

Good fit when

Use JOOD when you need to explore how a multimodal model behaves with unforeseen or out-of-distribution inputs, thus pushing the boundaries of its conventional responses or outputs.
Consider JOOD if your objective aligns with understanding security vulnerabilities in large language models, particularly within domains that combine textual and visual data.

Avoid when

Avoid using JOOD if jailbreaking strategies are not of interest, such as in scenarios requiring strict adherence to model limitations and ethical constraints.
JOOD may not be suitable if you require tools that focus on improving performance or stability of models rather than exploring unconventional behavior or vulnerabilities.

Requirements:: Python version to install requirements: Python >= 3.12.7; The package list for dependencies should be sourced from the `requirements.txt` file provided in the repository.

Observed Jul 17, 2026 · Source: enrich:decision_facts

JOOD alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (480d since push); As of Oct 5, 2026
Provenance: Not a fork · Organization account; As of Oct 5, 2026
Security (OSV): 50 low (50 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install JOOD

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

JOOD is an implementation that explores the concept of jailbreaking language and multimodal language models using out-of-distribution strategies. It focuses on altering model behavior under unforeseen inputs.

Capability facts

Languages: python
Source: github.language · Oct 5, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Oct 5, 2026)

- Python >= 3.12.7

Source link

README

🛠️ Install Python = 3.12.7 Required libraries are listed in License

For agents

This page has a .md twin and JSON over the API.

/tools/naver-ai-jood.md GET /api/graphcanon/tools/naver-ai-jood GET /api/graphcanon/graph?tool=naver-ai-jood