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AgentExploitDB

Zero-dependency security shield & exploit benchmark for AI

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This is 1 of 180 launches in ai security and pentesting agents — see how it stacks up on momentum and crowding →

230 other launches read as similar to this one →

Details

External ID
1271934
Source
PH
Company
—
Product
AgentExploitDB
Website domain
producthunt.com
Launched
Oct. 7, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Open Source, Developer Tools, Artificial Intelligence, GitHub

Description

AgentExploitDB protects AI agents and Model Context Protocol (MCP) tools from prompt injections, tool-jacking, and SSRF cloud metadata theft. Unlike passive scanners, it provides a two-pillar defense: • Drop-in zero-dependency runtime shield (MCPGuardrail) stopping attacks in <1ms. • 1,200+ verified OWASP Top 10 exploit vectors for benchmarking. • 1-Click executive HTML security certificate generator for client deliverables. Open source core available on GitHub.

Enrichment

Niche
ai security and pentesting agents
Vertical
Security
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
exploit benchmark and security shield for ai agents
Manually corrected
False

Could you build this?

Partial Building an MCP proxy wrapper is easy, but curating 1,200+ verified exploit benchmarks and achieving sub-millisecond zero-dependency threat detection for SSRF and prompt injection requires specialized security research.

What it would actually take: Requires an ultra-low latency middleware (Rust or Go) implementing deterministic pattern matching and semantic classification alongside an extensive, manually curated and verified database of real-world MCP and LLM attack vectors. The hard part is building and continuously updating the benchmark dataset and crafting evasion-resistant heuristic rules without introducing false positives or measurable latency.

Competitors

Other products that read as similar to this one — 230 launches clear the similarity bar, closest 8 shown.

Attention rank: #134 of 231 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 329 days after the earliest competitor.

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