
Vulnsy - Pentest Reporting Platform for Security Teams
Vulnsy是为安全团队提供的渗透测试报告平台,可10倍快速交付客户报告。
@TurvSec · X
完整作品展
技术栈
18 projects

Vulnsy是为安全团队提供的渗透测试报告平台,可10倍快速交付客户报告。
@TurvSec · X


用 7 个扫描器扫描 Web 应用漏洞,获取 AI 修复建议和 PDF 报告。
@hexorasec · X
Paid Hexora accounts now get PDF security reports. Every finding with evidence, CVSS scores, remediation steps, and AI fix prompts, in a report you can hand to a client or keep for compliance. Live for Starter, Pro, and Max. #buildinpublic #vibecoding

将CVE漏洞数据转换为机器可读风险信号的API,用于自动化。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.

AI 应用安全扫描器,检测泄露的密钥和配置问题。
thfothijn · Product Hunt
OpzyAI Finds what your AI-built app leaks — your editor fixes it

与Sable AI代理聊天扫描Web应用和API的漏洞。
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.

Decloak 免费扫描网站漏洞:JS CVE、追踪器和配置错误。
@oldagencydev · X
Is this still an open offer?😂I'm launching and trying to get it out there. Free no-signup security scans of any URL to catch everything including vibe-coded app issues. Then paid plans for everything up to enterprise! Already using at my other company!


Tako 在 60 秒内扫描网页应用,发现泄露密钥和开放数据库等安全漏洞。
@guhanvenkaty · X
Tako's free preview is live: Paste your URL, get a security verdict on your vibe-coded app in 60s. Not an AI wrapper: it fires real requests and PROVES exposure, pulling data from your open DB with no login. Scanning puts you on the early-access waitlist.

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

扫描GitHub代码库查找安全漏洞,AI提供修复建议。
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th
