Official jscrambler npm Package Compromised at 8.14.0
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The glasses are targeted at people who might be constantly in meetings, giving presentations, and traveling to countries where different languages are spoken.
Hey HN! I made Orbit, an iOS app that allows you to see the satellites, planets, and constellations above you in AR, on a 2D map, and on a 3D globe. The app includes more than 15,000 objects tracked by CelesTrack, together with their pass predictions, descriptions, and detailed orbital data. A searchable catalog of all objects is also available, as well as a built-in chatbot designed to answer any space-related questions you might have. This is my first published iOS app, so any feedback is grea
Developers flagged a freshly filed, reproducible issue that should make anyone running background agents pause: Claude Code's background Opus subagents intermittently stall on their first turn and, instead of producing useful work, emit system-prompt fragments — including text shaped like authorization data — as their only output. It's labeled a security issue, it has a reproduction, and it's open. That's enough to treat it as a real, if intermittent, class of failure. Here's the mental model that matters: a subagent is not a trusted subprocess. It's an autonomous loop with access to a context window, a toolset, and — too often — the same credentials as its parent. When that loop stalls and dumps its prompt instead of its result, anything that was in context is now in output. Authorization-shaped text leaking is the canary: if the prompt carried a token, a session string, or an internal endpoint, that's what surfaces. The fix is structural, not reactive. Three rules: 1. Scope credentials per subagent, not per session. A background agent that only needs to read a repo shouldn't hold deploy keys. Hand it the narrowest token that completes its task and revoke it when the task ends. If the tooling can't scope credentials, that's a gap to close before you scale subagents. 2. Treat subagent output as untrusted. Anything a subagent returns — including error text, logs, and especially "stalled" dumps — should be parsed and sanitized before it touches shared state. Don't pipe raw subagent output into a context that feeds other agents or into any log that leaves your machine. 3. Separate the system prompt from the working context. The leak happened because authorization-shaped content sat in the same window the subagent could echo. Keep credentials and internal routing data out of the prompt that a stalled loop might surface. Put them in a side channel the model can call, not text it can print. The deeper lesson is about failure modes, not one bug. Most agent setups assume th