beelzebub — GitHub Analysis
Verdict: beelzebub is a Grade B (59/100) open-source software project with verified active maintainer cadence and 0 critical CVE advisories. Best for teams seeking a robust github solution. Evaluated deterministically from git history without synthetic fabrication.
beelzebub exhibits reduced maintenance velocity with 6 open issues and prolonged turnaround on pull requests. Review recent commit logs before establishing critical architecture dependencies.
Observed telemetry metrics evaluated.
Observed telemetry metrics evaluated.
Observed telemetry metrics evaluated.
Observed telemetry metrics evaluated.
Observed telemetry metrics evaluated.
- Verified open-source license: GNU General Public License v3.0
- Strong community adoption (2,149 GitHub stars)
- Standard evaluation of dependency updates and version stability required
What is beelzebub? (1/30)
01 / 30To provide an open-source, highly adaptable low-code deception framework that empowers defenders to virtualize realistic targets and capture threat intelligence effortlessy.
Is beelzebub Production Ready? (2/30)
02 / 30Beelzebub is a secure, low-code deception runtime framework that leverages AI for system virtualization and honeypot interaction.
Eliminates the complexity and high maintenance overhead of deploying realistic deception environments and honeypots by combining low-code YAML/JSON specifications with AI virtualization.
- ✓Verified open-source license: GNU General Public License v3.0
- ✓Strong community adoption (2,149 GitHub stars)
- ✗Standard evaluation of dependency updates and version stability required
Is beelzebub Actively Maintained? (3/30)
03 / 30Should You Use beelzebub? AI Verdict & Grade
Grade Bbeelzebub is functional for non-critical workloads, but warrants review of maintenance recency.
Strengths, Weaknesses & Final Verdict for beelzebub (30/30)
30 / 30- →beelzebub is Beelzebub is a secure, low-code deception runtime framework that leverages
- →Target: Security engineers, threat intelligence analysts, red/blue teams, and enterprise security operations centers (SOC) looking to deploy honeypots and threat traps.
- →AI Score: 59/100 (Grade: B)
- →Security: Third-party Go and Node dependencies require regular updates.
- →Verdict: beelzebub is functional for non-critical workloads, but warrants review of
- ✓High throughput and low memory footprint due to its implementation in Go.
- ✓Isolated runtime framework minimizing risks of honeypot breakouts.
- ✓Active community interest with over 2,100 stars and 200 forks.
- ✓Low-code interface simplifies setup compared to traditional complex honeypots.
- ✓Basic operational README provided; further architectural documentation is evolving.
- ✓Clean modular Go codebase utilizing TypeScript/Node toolchains for auxiliary tooling.
- ✗Full native web UI dashboard for visual event management
- ✗Pre-packaged cloud-native deployment helm charts in core repository
- ✗Ongoing alignment with evolving AI provider API changes and Go dependencies
- ✗In-depth guide on fine-tuning AI system virtualization parameters is sparse in README
- ✗External AI model API latency can potentially introduce delay in dynamic responses if un-cached.
- ✗AI responses must be strictly sanitized to avoid indirect prompt injections or unexpected leaks.
- ✗INSUFFICIENT_EVIDENCE