
CVE Playground
Practice real CVEs. Think like an attacker.
What it does
cveplayground.com is a hands-on platform built to help people actually understand real-world vulnerabilities. The goal is simple, learn vulnerabilities by thinking through them, not just reading about them.
Does a similar job
all alternatives →- IMI made an alternative platform for professional profiles2021 · read.cv · ▲938
- CBCVE-Bench, the first LLM benchmark using real-world web vulnerabilities2025 · github.com · ▲6
AI agents now have impressive reasoning capabilities. This raises an important question: how dangerous are these AI agents at identifying & exploiting web vulnerabilities? We created CVE-bench to find out (I'm one contributor of 16). To our knowledge CVE-bench is the first benchmark using real-world web vulnerabilities to evaluate AI agents' cyberattack capabilities. We included 40 CVEs from NIST's database, focusing on critical-severity vulnerability (CVSS > 9.0). To properly evaluate agents’ attacks, we built isolated environments with containerization and identified 8 common attack…

- CVCVE Vulnerability Info Downloader – Including Dashboard for OpenVAS2023 · github.com · ▲5


More life & fun this month
the category →- TL
Life & fun · 11d ago · louisabraham.github.io



Photosynthesis fires two of your iPhone
Life & fun · 29d ago · photosynthesis.camera
- CCCreatium Coach▲320
Your multimedia mentor that takes you from mid to great
Life & fun · 11d ago · producthunt.creatium.info
SoloUno▲310Take control of hair pulling, nail biting & skin picking
Life & fun · 29d ago · solouno.io
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com