
attestd | CVE API for Machine-Readable Vulnerability Risk Signals
API 将 CVE 漏洞数据转换为机器可读的安全风险信号。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
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API 将 CVE 漏洞数据转换为机器可读的安全风险信号。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.

在ChatGPT、Perplexity和Claude上审计和优化本地业务的可见性。
@Timemindai · X

扫描 vibecoded 应用的安全漏洞,包括暴露的密钥、认证破损和缺失行级安全。
@MrBallaz · X
Protect your vibe-coded app

A real-time dispatch log for open Web3 ground across Arbitrum, Ethereum, Avalanche, and Base.
@Drapevangelist1 · X
Just shipped my first vibecoded project. Last weekend, I attended an Avalanche Builders Meetup and got updates on vibe coding. A few days later, I went from “I’m learning this” to actually putting a project live. @AvaxTeam1 @Team1NG @TechyDom @N1Fredy

Semfora: 分析代码库结构找出代码变更的风险
u/jeremyStover · Reddit
My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(

输入网站 URL 进行安全扫描,获得漏洞评分和修复建议。
@korisecurity · X
What we have now: Vibe coding -> Vibe testing -> Vibe marketing -> Vibe users -> Vibe subscriptions. You may do all but don't Vibe Secure! Scan for those open ports, missing DKIMs or CVEs. Use a professional tool

审计AI应用的安全漏洞,获取完整检测报告。
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode

Decloak 扫描网址的安全漏洞、JS CVE、隐藏追踪器和配置问题。
@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!

Find security holes in your AI-built app before hackers do. StackSecured scans for exposed keys, injection flaws, CVEs and more — with copy-paste fixes.
@djdeepakjha · X
AI can build your startup in days. But who checks the security? Public configs. Weak APIs. Exposed secrets. If AI built your app, scan it before someone else does. 🔒 StackSecured — security assessment #CyberSecurity #VibeCoding #AppSecurity

查看 BTC/ETH/SOL/BNB 的技术指标和 AI 生成的交易信号。
@jielove233 · X
最近看到 @dappOS_com 一个作品挺有意思 一个主流币交易共振信号Agent,通过 dappOS Coding 快速完成 链接: 这个案例的价值,不在于又做了一个行情页面,而是在于它展示了一种新的 AI Agent 构建方式 过去开发一个交易辅助工具,需要先处理数据接口,再搭建前端交互,编写指标逻辑,最后不断测试优化。 对于很多有交易想法的人来说,真正困难的不是没有策略,而是从想法到产品之间隔着一整套开发流程 dappOS Coding 改变的,就是这个过程 通过自然语言描述需求,就可以快速生成对应功能模块 像这个交易共振信号案例,本质上就是把市场数据、技术指标和信号逻辑结合起来,形成一个面向交易场景的辅助工具 它并不是替用户直接交易,也不是承诺预测市场 更重要的价值在于 帮助交易者降低信息处理成本 在 Crypto 市场里,行情 24 小时运行,大量数据、新闻、价格变化不断涌入 普通用户很难持续人工筛选有效信息 AI Agent 可以承担其中一部分重复工作: 监控市场变化 整理关键数据 输出信号参考 辅助交易决策 这也是为什么最近 AI + Crypto 的结合越来越受到关注 OKX 推出 AI 与交易生态结合 @BNBCHAIN 也在推动更多项目加入 BNB Agent Studio,鼓励开发者围绕交易、情感陪伴等方向构建 AI Agent 整个行业正在从AI 能聊天进入AI 能完成任务的阶段 而 dappOS Coding 展现出来的方向,是降低 Agent 创建门槛 以前一个想法可能停留在笔记里,需要开发团队才能实现 现在,更多开发者、交易者甚至普通用户,都有机会快速验证自己的想法 未来 Crypto 的竞争,不只是资产和协议之间的竞争,也会是 AI Agent 生态和应用数量的竞争 谁能让更多人低成本创造工具,谁就更有机会成为下一阶段基础设施的一部分 这个交易信号案例只是一个开始 AI Agent 正在逐渐成为连接用户、数据和链上应用的新入口

用截图AI分析加密币风险
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]

探索2020年以来的CVE趋势和漏洞严重性,按报告组织分类。
u/Secret_Appeal6271 · Reddit
Agents are more capable, and susceptible to exploits, than ever. We're working to stop this from hurting users. AI agents are starting to get real access like GitHub tokens, cloud credentials, customer data, deploy permissions. Not coincidentally, the rate of major cybersecurity incidents is rising rapidly. See for yourself: https://epoch.ai/data/cve?view=graph https://genai.owasp.org/resource/state-of-agentic-ai-security-and-governance/ My friend and I, both AI researchers, are working o