Shieldprompt – test your LLM against prompt injection – no dependencies (github.com)

Shieldprompt has launched a new command-line interface (CLI) tool designed to test large language model (LLM) applications against prompt injection vulnerabilities. This zero-dependency tool combines static analysis with live testing, allowing developers to swiftly assess whether an adversary can manipulate their models through untrusted inputs such as emails or web pages. With a simple installation and no API key required, users can perform both a static scan of their prompt templates and dynamic attacks using a battery of 13 adversarial payloads that replicate real-world exploitation techniques. The significance of Shieldprompt lies in its ability to proactively identify one of the most critical vulnerabilities in LLM applications, as highlighted by its top listing in the OWASP LLM Top 10. By providing immediate feedback through comprehensive reports that detail any vulnerabilities found, Shieldprompt empowers developers to fortify their applications before malicious actors can exploit weaknesses. Its features, like a CI-friendly exit code system and mock attack capabilities, enhance usability and make it a valuable addition to any AI development workflow, offering a practical defense against the ever-evolving landscape of prompt injection threats.