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Bawbel Scanner v1.1.0 adds attack chain, server-card, and rug pull detection for AI agents

The Bawbel Scanner has been updated to version 1.1.0, introducing enhanced security features for agentic AI components. This release includes toxic flow detection to identify combined attack chains, server-card scanning for auto-discovery vulnerabilities, and rug pull detection to prevent malicious tool description changes. The scanner now maps findings to OWASP MCP and provides CVSS-AI scores for better vulnerability assessment. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enhances security for AI agent development by identifying complex attack chains and preventing malicious modifications.

RANK_REASON This is a software tool release that enhances security for AI components, not a core AI model or research breakthrough.

Read on dev.to — MCP tag →

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 · Saray Chak ·

    Bawbel Scanner v1.1.0: Attack chain detection, server-card scanning, and rug pull detection for MCP

    <p>MCP 2026 introduced several new attack surfaces that existing scanners do not cover. v1.1.0 of Bawbel Scanner addresses all of them.</p> <h3> What is Bawbel Scanner? </h3> <p>An open-source CLI that scans agentic AI components (MCP server manifests, SKILL.md files, system prom…