Observed Signal · Jul 25, 2026 · Technical Release · Source: DEV Community · Impact: 4/5 · Sentiment: Negative
AI Agent Security: 8 Critical Production Tests
This technical checklist from Correctover outlines eight critical security tests teams should run before deploying LLM-powered AI agents in production. The authoring team reports auditing 10+ agent frameworks, generating 1,730+ verified findings and 87 confirmed production vulnerabilities, and analysing 80,000+ API traces across 13 providers and 33 models. The eight test areas cover tool authorization and read-only enforcement, MCP/subprocess command injection, unsafe deserialization/eval usage, path traversal in configuration loading, environment-variable leakage to subprocesses, MCP STDIO transport security, runtime call verification (the missing real-time enforcement layer), and model/provider supply-chain security. The article documents multiple CVEs and high CVSS scores across frameworks (including Microsoft-linked projects, CrewAI, LiteLLM, LlamaIndex, Haystack, Dify), and describes Correctover's CCS runtime interceptor and scanning rules used in disclosures.
The article documents multiple confirmed high-severity vulnerabilities (CVSS 9.8) across widely used AI agent frameworks, CVEs affecting major projects, and proposes runtime call verification — a cross-framework security control that could materially affect how LLM agents are deployed and secured.
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Key Takeaways & Evidence Grounding
- Correctover audited 10+ AI agent frameworks and produced over 1,730 verified findings.
- 87 of those findings are identified as confirmed production vulnerabilities.
- The author group analysed more than 80,000 API traces across 13 providers and 33 models.
- Multiple critical vulnerabilities/CVEs are cited, including CrewAI MCP RCE (CVE-2026-2287, CVSS 9.8) and LiteLLM allowlist bypass (CVE-2026-30623).
- The article defines an 8-test checklist for production AI agent security, including runtime call verification as a core missing layer.
Connected Companies & Entities
9 Entities mapped“AutoGen (Microsoft): 6 instances...”
“CrewAI MCP RCE (CVE-2026-2287, CVSS 9.8): The `StdioTransport.__init__()` in `crewai/mcp/transports/stdio.py` (line 92-97) passes `command` ...”
“LiteLLM allowlist bypass (CVE-2026-30623): LitellM has an allowlist, but it can be bypassed using `python -c` or `node -e` argument injectio...”
“LlamaIndex Workflows Pickle RCE (CVSS 9.8): In `workflows/context/serializers.py` line 243, `pickle.loads(base64.b64decode(value))` is the d...”
“Haystack Pipeline RCE (2 CRITICAL): Two confirmed RCE paths through pipeline serialization deserialization....”
“Haystack Pipeline RCE (2 CRITICAL): Two confirmed RCE paths through pipeline serialization deserialization....”
“Anthropic MCP SDK (official) | None (by design) | `stdio_client()` — no command validation...”
“Docker MCP: Command injection at the protocol level — the Docker MCP server passes user-controlled parameters directly to subprocess calls....”
“Guardrails (Lakera Guard, NVIDIA NeMo): Filter input and output content...”
Ontology Mapping & Concepts
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