惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Jina AI
Jina AI
Hugging Face - Blog
Hugging Face - Blog
博客园 - 三生石上(FineUI控件)
博客园 - 【当耐特】
大猫的无限游戏
大猫的无限游戏
IT之家
IT之家
宝玉的分享
宝玉的分享
WordPress大学
WordPress大学
有赞技术团队
有赞技术团队
Apple Machine Learning Research
Apple Machine Learning Research
酷 壳 – CoolShell
酷 壳 – CoolShell
阮一峰的网络日志
阮一峰的网络日志
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
爱范儿
爱范儿
小众软件
小众软件
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
The Cloudflare Blog
S
SegmentFault 最新的问题
博客园 - Franky
博客园_首页
T
Tailwind CSS Blog
雷峰网
雷峰网
罗磊的独立博客

Aikido Security's Blog

GlassWorm goes native: New Zig dropper infects every IDE on your machine Aikido Attack finds multiple 0-days in Hoppscotch The cybersecurity doomerism around Mythos doesn't match what we see on the ground axios compromised on npm: maintainer account hijacked, RAT deployed Popular telnyx package compromised on PyPI by TeamPCP Aikido × Lovable: Vibe, Fix, Ship CanisterWorm Gets Teeth: TeamPCP's Kubernetes Wiper Targets Iran TeamPCP deploys CanisterWorm on NPM following Trivy compromise Security testing is validating software that no longer exists Aikido Recognized by Frost & Sullivan with the 2026 Customer Value Leadership Award in ASPM GlassWorm Hides a RAT Inside a Malicious Chrome Extension fast-draft Open VSX Extension Compromised by BlokTrooper Glassworm Strikes Popular React Native Phone Number Packages Glassworm Is Back: A New Wave of Invisible Unicode Attacks Hits Hundreds of Repositories How Security Teams Fight Back Against AI-Powered Hackers Introducing Betterleaks, an open source secrets scanner by the author of Gitleaks Trump’s 2026 cybersecurity strategy: From compliance to consequence How does AI pentesting work with compliance? What continuous pentesting actually requires Rare Not Random: Using Token Efficiency for Secrets Scanning Persistent XSS/RCE using WebSockets in Storybook’s dev server Why Determinism Is Still a Necessity in Security WAF vs. RASP vs. ADR Introducing Aikido Infinite: A new model of self-securing software How Aikido secures AI pentesting agents by design Astro Full-Read SSRF via Host Header Injection How to Get Your Board to Care About Security (Before a Breach Forces the Issue) What is Slopsquatting? The AI Package Hallucination Attack Already Happening SvelteSpill: A Cache Deception Bug in SvelteKit + Vercel Top 6 Wiz Code Alternatives
Aikido x Drydock | A way for maintainers to catch malware...
Dania Durnas · 2026-06-23 · via Aikido Security's Blog

Maintainers, this is for you. We're partnering with Drydock so maintainers can see exactly what's inside a package before they approve it, catching malware before it ships instead of disclosing it after. Drydock lets you read the actual bytes of a staged release before it goes live, so bad versions get caught at approval rather than in a post-mortem. For npm and PyPI maintainers, Drydock is available at no cost.

Stopping malware before it’s published

The last year has been full of malware attacks on open-source packages. We’ve gotten accustomed to seeing alerts and tweets with another “ALERT! Big malware attack!” Improvements to detection and reporting are important, but by the time we have to disclose, it’s already too late. Package maintainers deserve more support earlier on in this process, to help them detect and prevent problems before they’re in the wild and everyone’s panicking and doing damage control.

npm’s recent announcement of staged publishing is a step in this direction. The update introduces a staging queue, where all package versions wait for a maintainer with 2FA to manually approve publishing. However, while this introduces an opportunity to review, the maintainer can’t see into the prepared package. They can view the version number, but not what the bytes are inside the package or what, if anything, has changed from the current state of the repo.

Aikido is committed to helping maintainers stop malware attacks before they happen. This is why we are partnering with Drydock to make publishing packages safer and staged publishing more useful. If you maintain an npm or PyPI package, Drydock gives you a free way to see what's really in a release before it publishes. Drydock analyzes staged npm packages to show you exactly what changed in the bytes before you approve, so the maintainer doing the approving can finally see inside the prepared package.

For PyPI, which doesn't have staged publishing, Drydock runs the same review inside your release pipeline instead. The same path covers npm packages that publish without staging. Support for additional registries is also coming soon. 

How Drydock works

When a new staged version appears, Drydock picks it up, downloads the exact tarball into a short-lived sandbox, diffs it against the last published version, and shows you the report on its dashboard. You see every change, with the security-relevant ones flagged and ranked by severity. Those flags catch what malware relies on, like a new preinstall or postinstall lifecycle script, files that weren't there before, code that spawns a process or reaches out to the network, or an added binary. Each finding is pinned to the line that introduced it, so the review reads as a short list you can scan in seconds rather than a wall of source. You read the findings, then approve the publish step in npm with your own 2FA.

The flow above assumes a staged npm publish. For PyPI, or for an npm package that publishes without staging, Drydock runs as a GitHub Actions environment gate. The release pauses in your pipeline before it reaches the registry. Drydock reviews the built artifact and posts the same diff and severity-ranked findings, and a maintainer approves or rejects in Drydock before anything goes public.

Drydock never publishes itself, so you’re not adding any failure points into the release process. Drydock uses a read-only npm token, just enough to see staged publishes. It is limited to only reading file listings and text, so it never runs the package contents. And in the spirit of keeping humans in the loop, a human makes the call every time.

Breaking the malware cycle 

When npm and other package managers launched, instant publishing was a feature for ecosystems that could grow quickly because they trusted their members. But today, attackers exploit the speed and ease of publishing to carry out malware attacks.

Staged publishing breaks that pattern by holding the version before it goes live. Drydock makes that hold meaningful, by showing the maintainer exactly what changed while there's still time to say no. The catch happens before download number one, instead of in a post-mortem after the damage is done.

That's the world we want for maintainers. Less waking up to malware disclosures, more finding the problem and stopping it themselves.

Setup is easy and doesn’t cost anything. Turn on npm's staged publishing for your package, connect Drydock to your org with a read-only token, and it starts reviewing staged versions automatically. For the GitHub Actions setup, you just need to link the GitHub app and the environment. Check out Drydock and more on how to get started on their site.