REPOGEO REPORT · LITE
beelzebub-labs/beelzebub
Default branch main · commit 1a823307 · scanned 5/27/2026, 12:52:12 PM
GitHub: 2,015 stars · 196 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface beelzebub-labs/beelzebub, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the README's opening paragraph to explicitly state its defensive cybersecurity purpose
Why:
CURRENT**Deception Runtime Framework** Beelzebub is an open-source deception runtime that deploys adaptive, LLM-powered decoy services across SSH, HTTP, TCP, TELNET, and MCP protocols. It goes beyond passive honeypots by actively engaging attackers in realistic interactions, collecting high-fidelity threat intelligence, and detecting prompt injection attacks against AI agents.
COPY-PASTE FIXBeelzebub is an open-source **defensive cybersecurity deception runtime framework**. It deploys adaptive, LLM-powered decoy services across SSH, HTTP, TCP, TELNET, and MCP protocols to actively engage attackers, collect high-fidelity threat intelligence, and detect prompt injection attacks against AI agents. Unlike offensive security tools, Beelzebub focuses on **threat detection and intelligence gathering**.
- mediumabout#2Enhance the 'About' description to emphasize defensive cybersecurity and threat intelligence
Why:
CURRENTA secure low code deception runtime framework, leveraging AI for System Virtualization.
COPY-PASTE FIXA secure, low-code **defensive cybersecurity** deception runtime framework, leveraging AI for system virtualization and **threat intelligence gathering**.
- lowreadme#3Add a 'Comparison' section to the README to differentiate from other tools
Why:
COPY-PASTE FIX## Comparison to Other Deception Platforms Beelzebub stands apart from traditional offensive security frameworks like Metasploit or Cobalt Strike by focusing purely on defensive cybersecurity, threat detection, and intelligence gathering. Compared to other deception platforms (e.g., Attivo Networks, Illusive Networks, CounterCraft), Beelzebub's core differentiator is its open-source nature and deep integration of LLM-powered adaptive decoy services, specifically designed to counter advanced AI-driven threats and prompt injection attacks.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Attivo Networks ThreatDefend Platform · recommended 1×
- Cymulate Extended Security Posture Management (XSPM) with Deception · recommended 1×
- Illusive Networks Deception Everywhere · recommended 1×
- CounterCraft The Deception Platform · recommended 1×
- Microsoft Azure Sentinel · recommended 1×
- CATEGORY QUERYHow to deploy adaptive AI-powered decoy services to detect advanced cyber threats?you: not recommendedAI recommended (in order):
- Attivo Networks ThreatDefend Platform
- Cymulate Extended Security Posture Management (XSPM) with Deception
- Illusive Networks Deception Everywhere
- CounterCraft The Deception Platform
- Microsoft Azure Sentinel
AI recommended 5 alternatives but never named beelzebub-labs/beelzebub. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a framework to gather threat intelligence from interactive LLM honeypots.you: not recommendedAI recommended (in order):
- OpenCTI
- MISP
- Dionaea
- T-Pot
- MHN
- Honeyd
- Flask
- Django
- Express
- langchain
- llama-index
- OpenAI
- Anthropic
- Hugging Face
- PostgreSQL
- MongoDB
AI recommended 16 alternatives but never named beelzebub-labs/beelzebub. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of beelzebub-labs/beelzebub?passAI named beelzebub-labs/beelzebub explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts beelzebub-labs/beelzebub in production, what risks or prerequisites should they evaluate first?passAI named beelzebub-labs/beelzebub explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo beelzebub-labs/beelzebub solve, and who is the primary audience?passAI named beelzebub-labs/beelzebub explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
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beelzebub-labs/beelzebub — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite