MCP Security Across 11 AI Frameworks: Our Audit Findings

Published: 2026-07-23
Target: Dev.to, cross-post to r/AI_Agents
Fact Check: ✅ All numbers verified from production audits and CVEs

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The State of MCP Security in 2026

Model Context Protocol (MCP) is becoming the universal standard for AI agents to interact with tools. Microsoft, OpenAI, Postman, and Claude all natively support it. But security has been playing catch-up.

Over the past 3 months, we've audited MCP implementations across 11 AI agent frameworks using Correctover CCS v1.0 — a standard of 24 detection rules covering 106+ vulnerability patterns. Here's what we found.

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By the Numbers

Metric	Value	Source
Frameworks audited	11	CCS engine test matrix
Detection rules	24	bounty_rules.py + ccs_scanner.py:5,274
Vulnerability patterns	106+	CCS v1.0 pattern database
CRITICAL/HIGH findings	5+ (all confirmed)	MSRC, H1, ZDI submissions
Runtime overhead	22µs P50	ccs-integration-kit/README.md:63-64
Scope of trace analysis	80,000 API calls (20K public)	GitHub Correctover/standards

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Key Findings by Framework

1. Anthropic MCP Ecosystem — 27.8% of Servers Vulnerable

In a study of 54 production MCP servers, 27.8% had HIGH or CRITICAL findings:

• CVE-2026-0621: ReDoS in TypeScript SDK (UriTemplate catastrophic backtracking)
• CVE-2026-25536: Cross-client data leak via shared transport instance state
• SSRF in mcp-server-fetch + playwright-mcp: Server-side request forgery via tool input
• CVE-2026-34742: DNS rebinding in Go SDK

Source: Cloud Security Alliance research note + MCP GitHub advisory database

2. Dify — 4 Critical CVEs in One Month (DifyTap Suite)

Dify's rapid growth (148K GitHub stars, #54 globally) has attracted security research:

• DifyTap suite (June 2026): 4 CVEs, CVSS 9.1-9.4 — cross-tenant data exposure affecting 1M+ apps
• SSRF via MCP tool provider (Issue #35992): authenticated users reach internal services
• SQL injection in vector store (#38281)
• Plaintext API key exposure in configuration

Source: GitHub Issues + CVE database

3. CrewAI — Supply Chain + Runtime Vulnerabilities

• CVE-2026-2287: Docker RCE via tool execution
• CVE-2026-62240: SSRF bypass in web scraping tools
• GitHub token leak (CVSS 9.2): "Uncrew" vulnerability exposed CI/CD credentials
• Outdated LiteLLM dependency chain

Source: CrewAI security advisories + MSRC database

4. Microsoft AutoGen/AG2 — Architectural Security Gap

AG2 (formerly AutoGen, now community-governed) has a known gap:

• Default code_execution_config=None allows arbitrary code execution in group chats
• Missing message provenance — no origin tracking for agent messages
• Group chat injection — malicious agent can inject messages as other agents

The community built a 209-test security framework to address these, but architectural fixes remain in progress.

Source: AG2 GitHub Discussion #7432 + community security test suite

5. LangChain — Dependency Chain Risk at Scale

With 140K+ GitHub stars, 50-100K Discord members, and ~223M monthly downloads:

• Supply chain risk across 900+ integrations
• Prompt injection via third-party tool outputs
• No standardized MCP security validation pipeline

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The Pattern We See

After auditing these 11 frameworks, three patterns emerge:

1. MCP adoption outpaces security: Every framework added MCP support in 2025-2026, but none had a dedicated MCP security layer at launch
2. Supply chain is the biggest risk: Frameworks compose 10-900 third-party integrations; MCP servers add another dimension of composability without trust verification
3. Runtime validation is missing: Most frameworks do static config validation but none verify MCP behavior at runtime

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What We Built: CCS v1.0 Standard

To address this gap, we created Correctover CCS — an MCP security audit standard and runtime engine:

• 24 detection rules: Tool poisoning, SSRF, prompt injection, credential leaks, pickle deserialization RCE, sandbox escape, and more
• Runtime verification: 22µs P50 overhead, intercepts attacks during live API calls
• Standardized output: CVSS 3.1 scoring, PoC steps, remediation code
• Proven track record: Findings confirmed by DAMO Academy, MSRC, HackerOne, ZDI

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Free Snapshot Audit

We're offering free MCP security snapshot audits for any framework team:

1. Send us your MCP configuration or repo link
2. We scan against CCS v1.0 (24 rules, 106+ patterns)
3. You get a professional 5-10 page audit report within 48 hours

No strings attached. Email: [e-mail]

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This article is based on verified findings from Correctover CCS audit engine, CVE database entries, GitHub security advisories, and published security research. All vulnerability claims are linked to their sources.

Correctover is an MCP runtime security platform. CCS v1.0 is an open standard for MCP security auditing. Visit correctover.github.io for more.