--- title: "awesome-hacking-lists vs AI-Infra-Guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/taielab-awesome-hacking-lists-vs-tencent-ai-infra-guard" tools: ["taielab-awesome-hacking-lists", "tencent-ai-infra-guard"] --- # awesome-hacking-lists vs AI-Infra-Guard *GraphCanon updated Aug 25, 2026* ## Verdict Pick awesome-hacking-lists if awesome-hacking-lists is a curated collection targeting penetration testers and bug bounty hunters with emphasis on AI tool entries in its compilation of utilities; pick AI-Infra-Guard if aI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. [awesome-hacking-lists](https://github.com/taielab/awesome-hacking-lists) reports 1.4k GitHub stars, 266 forks, and 2 open issues, last pushed Dec 4, 2025. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) has 4.3k stars, 419 forks, and 13 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [awesome-hacking-lists's repository](https://github.com/taielab/awesome-hacking-lists) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard). | | [awesome-hacking-lists](/tools/taielab-awesome-hacking-lists.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Tagline | A curated collection of penetration testing tools and productivity utilities | A full-stack AI Red Teaming platform securing AI ecosystems | | Stars | 1,381 | 4,316 | | Forks | 266 | 419 | | Open issues | 2 | 13 | | Language | - | Python | | Adopt for | awesome-hacking-lists is a curated collection targeting penetration testers and bug bounty hunters with emphasis on AI tool entries in its compilation of utilities. | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-hacking-lists](/tools/taielab-awesome-hacking-lists.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 263d | 0d | | Open issues (now) | 2 | 13 | | Stars delta | +15 (30d) | Unknown | | Open issues delta | -2 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/taielab-awesome-hacking-lists/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) | ## Shared compatibility - **Python**: [awesome-hacking-lists](/tools/taielab-awesome-hacking-lists.md) - Python runtime; [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) - Python runtime ## Decision facts: awesome-hacking-lists - **Pricing:** unknown - (unknown) - **Adopt for:** awesome-hacking-lists is a curated collection targeting penetration testers and bug bounty hunters with emphasis on AI tool entries in its compilation of utilities. ## Decision facts: AI-Infra-Guard - **Adopt for:** AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. ## Choose when ### Choose awesome-hacking-lists if… - Pricing: (unknown). - Tags unique to awesome-hacking-lists: aiagents, bugbounty, llminference, pentesting. - Also covers AI Agents. - Use awesome-hacking-lists when you have an interest or need for specifically curated penetration testing tools that include AI-enhanced features. ### Choose AI-Infra-Guard if… - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools. - Also covers Evaluation & Observability. - AI-Infra-Guard ships Docker support for self-hosted deployment. - If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ## When NOT to use awesome-hacking-lists - Avoid awesome-hacking-lists if your needs are more general and do not align with the specific focus on penetration testing or AI-integrated security tools. - This is not suitable when looking for comprehensive AI development frameworks without a specialized security perspective, as it's tailored towards hacking utilities. ## When NOT to use AI-Infra-Guard - Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. - Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ## Common questions ### What is the difference between awesome-hacking-lists and AI-Infra-Guard? awesome-hacking-lists: A curated collection of penetration testing tools and productivity utilities. AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-hacking-lists over AI-Infra-Guard? Choose awesome-hacking-lists over AI-Infra-Guard when Pricing: (unknown); Tags unique to awesome-hacking-lists: aiagents, bugbounty, llminference, pentesting; Also covers AI Agents; Use awesome-hacking-lists when you have an interest or need for specifically curated penetration testing tools that include AI-enhanced features. ### When should I choose AI-Infra-Guard over awesome-hacking-lists? Choose AI-Infra-Guard over awesome-hacking-lists when Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools; Also covers Evaluation & Observability; AI-Infra-Guard ships Docker support for self-hosted deployment; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ### When should I avoid awesome-hacking-lists? Avoid awesome-hacking-lists if your needs are more general and do not align with the specific focus on penetration testing or AI-integrated security tools. This is not suitable when looking for comprehensive AI development frameworks without a specialized security perspective, as it's tailored towards hacking utilities. ### When should I avoid AI-Infra-Guard? Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ### Is awesome-hacking-lists or AI-Infra-Guard more popular on GitHub? AI-Infra-Guard has more GitHub stars (4,316 vs 1,381). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-hacking-lists and AI-Infra-Guard open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-hacking-lists or AI-Infra-Guard? GraphCanon lists graph-backed alternatives at [awesome-hacking-lists alternatives](/tools/taielab-awesome-hacking-lists/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([awesome-hacking-lists markdown twin](/tools/taielab-awesome-hacking-lists/alternatives.md), [AI-Infra-Guard markdown twin](/tools/tencent-ai-infra-guard/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/taielab-awesome-hacking-lists-vs-tencent-ai-infra-guard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-hacking-lists or AI-Infra-Guard? awesome-hacking-lists: Slowing. AI-Infra-Guard: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for awesome-hacking-lists and AI-Infra-Guard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-hacking-lists trust report](/tools/taielab-awesome-hacking-lists/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=taielab-awesome-hacking-lists`](/api/graphcanon/graph?tool=taielab-awesome-hacking-lists) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_