Evaluation & Testing

Hallucination-Attack

Induce hallucinations in large language models for testing and security purposes.

Status
UnmaintainedNo commits in 1032 days.
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Hallucination-Attack is a tool designed to induce hallucinations in Large Language Models (LLMs) to test their robustness and identify potential vulnerabilities. This is crucial for improving the safety and reliability of AI systems.

Hallucination-Attack stands out by providing a focused solution for inducing and studying hallucinations in large language models, which is essential for improving AI safety and reliability.

When it fits — and when it doesn’t

A good fit for

  • Teams developing LLMs who need to test for robustness and security against adversarial attacks.

  • Researchers studying AI safety and the reliability of large language models.

Look elsewhere if

  • Projects that require real-time interaction with LLMs, as this tool is designed for testing purposes

  • Teams without a strong background in machine learning or cybersecurity who may not fully understand its implications

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other AI testing frameworks

    Lack of native support for popular AI safety tools like SafetyGym or RobustnessBench

  2. 02

    Complex setup process

    Requires manual installation of dependencies and configuration of testing environments

What it does well

  • Induces hallucinations in LLMs for testing purposes

  • Open-source and MIT licensed

  • Self-hosted, allowing full control over the environment

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Hallucination-Attack

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Hallucination-Attack — tracked on AI Navigator

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