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Security SOTA Report — 2026-07-06

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Security SOTA Report — 2026-07-06

TL;DR: 2026 research proves that "safe" LLMs become 40–75% exploitable when deployed as agents with tool access — and Ruflo's current security module lacks Verifiable Memory Governance (VMG) and Representation Engineering (RepE) IPI detection, both now SOTA requirements for production agent deployments.


What's New in 2026

FindingSourceConfidence
"Safe" LLMs yield 40–75% attack success as agents (skill files highest risk)ClawSafety, arXiv:2604.01438A
Persistent memory introduces Write/Store/Retrieve/Execute/Share/Forget attack phases — cannot retrofit at retrieval time aloneMemory Security Survey, arXiv:2604.16548A
Indirect Prompt Injections bypass all baseline defenses; RepE (Representation Engineering) at tool-input position achieves high detection across 9 LLMsIPI study, arXiv:2604.03870A
OWASP released standalone "Top 10 for Agentic Applications 2026" covering Agent Goal Hijack, Tool Misuse, Memory PoisoningOWASP GenAI Security ProjectB
IMA attack on multi-agent systems (MetaGPT, CrewAI) reaches 89% jailbreak success vs single-agent baselineMulti-agent jailbreak study 2026B
Lightweight inference-time defense filters consistently bypassed by long reasoning-heavy promptsarXiv:2602.22242A
AutoJack: AutoGen Studio browser-agent exploited to reach privileged localhost service — zero user interaction requiredAutoJack 2026B

Ruflo Current Capability

CapabilityStatusGap
Input validation (Zod-based)@claude-flow/security InputValidatorNone at boundary
Path traversal prevention✅ PathValidatorNone
Command injection protection✅ SafeExecutorNone
Plugin supply chain integrity✅ ADR-145None
Security CVE posture✅ ADR-165None
Verifiable Memory Governance (VMG)❌ Not implementedStorage-time provenance, versioning, policy-aware retention missing
Representation Engineering (RepE) IPI detection❌ Not implementedNo tool-input state monitoring
OWASP Agentic Top 10 2026 compliance mapping❌ No mapping exists10 risks unaudited
Skill file sandboxing❌ Skill files not isolatedHighest attack risk per ClawSafety
Agent-to-agent (A2A) trust boundaries❌ No zero-trust A2ACross-agent propagation unmitigated

Competitor Comparison

FrameworkMemory SecuritySkill/Tool IsolationIPI DefenseA2A Trust
LangGraph v0.4PostgresSaver checkpointer, human-in-the-loopPolicy enforcement hooks, tool allowlistsNone publishedNone published
AutoGen 1.0 GAMemory scoping controlsDocker/gVisor/Firecracker sandboxesAutoJack vuln disclosedNot implemented
CrewAI 0.95Memory backend abstraction (pluggable)None dedicatedIMA attack 89% success (vuln)Not implemented
OpenAI Agents SDKSession-scoped onlyExplicit handoff modelNone publishedHandoff as trust boundary
Ruflo 3.6.10AgentDB hybrid (SQLite+HNSW)@claude-flow/securityNoneSendMessage (no signing)

Benchmarks

BenchmarkValueGradeSource
ClawSafety attack success rate on "safe" LLMs-as-agents40–75% across modelsAarXiv:2604.01438 (2026, peer-reviewed)
RepE detection accuracy across 9 LLMs"high detection accuracy" (exact % not published)AarXiv:2604.03870 (2026, peer-reviewed)
IMA multi-agent jailbreak success (CrewAI/MetaGPT)89%B2026 multi-agent jailbreak study (vendor crosschecked)
HackerOne AI vulnerability report spike210% increase (Oct 2025 baseline)BHackerOne 2025 report

SOTA Proof & Witness

Session commit: 865dd7dd2b2a830209e64bb3e4aed935d2471d76
Report SHA-256: ee2577535df493f22f66b9a26123d7d61c4556dd8e51cbc2dfda1e017bb1bcde
Witness stamp: 2749e549678c2726b63247a0a462bffe0ca3a2f923bb971a828a5f7913094e73
Verifier: fetch raw file → sha256sum → concat session commit → sha256sum → must equal witness stamp


  1. Implement Verifiable Memory Governance (VMG) in AgentDB: add storage-time provenance metadata, memory write versioning, and policy-aware retention rules per the Memory Lifecycle Framework (arXiv:2604.16548). Propose as ADR-178. Estimated: 2 sprints.

  2. Add RepE-based IPI detection hook in @claude-flow/security: instrument tool-input hidden states to detect abnormal decision entropy before tool execution. Use as pre-tool-call hook in the hooks system (pre-edit, pre-command). Aligns with OWASP Agentic 2026 "Tool Misuse" #2.

  3. Audit skill file loading pipeline against ClawSafety findings: skill files are the highest-risk injection vector (higher than email/web). Add a skill-file signature verification step in @claude-flow/cli plugin loader and map all 10 OWASP Agentic 2026 risks against existing controls.