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

By PulseAugur Editorial · [1 sources] ·

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

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
This is a software tool release that enhances security for AI components, not a core AI model or research breakthrough.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, other
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High
Clearly on-topic for AI-industry coverage.
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154 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · 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…

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