Detect Indirect Prompt Injection in Claude Code via Lasso's Open Source Defender (www.lasso.security)

Lasso Security has unveiled the Claude Code Prompt Injection Defender, an open-source tool designed to combat indirect prompt injection vulnerabilities in the popular AI development assistant, Claude Code. This new defense mechanism acts as a runtime security layer that intercepts outputs from Claude—such as code from repositories or content from web pages—before they are processed. By scanning results against over 50 detection patterns, it injects warnings if potential threats are identified, allowing developers to maintain productivity while being alerted to possible risks. This development is particularly significant as it addresses a growing concern in the AI/ML community surrounding indirect prompt injection, which can exploit the AI’s inability to distinguish between user instructions and malicious content embedded in legitimate sources. With the increasing automation capabilities of tools like Claude Code, including the risky "--dangerously-skip-permissions" command, the potential attack surface expands dramatically. By offering implementation options for both individual and enterprise users, including managed settings for consistent security, Lasso aims to equip organizations with the means to harness AI's full potential while minimizing security risks.