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

The Bawbel Scanner has been updated to version 1.1.0, introducing new features to detect vulnerabilities in agentic AI components. This release includes toxic flow detection, which identifies combined attack chains with elevated risk scores, and enhanced scanning for server-card auto-discovery mechanisms introduced in MCP 2026. Additionally, the scanner now offers rug pull detection by pinning skill files and provides mapping to OWASP MCP vulnerabilities. AI

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

IMPACT Enhances security tooling for AI agents, potentially reducing risks associated with supply chain attacks and prompt injection.

RANK_REASON This is a new version release of an open-source CLI tool for scanning 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…