AIQB
TutorialsOrdinary

Study: How AI Agent "Skills" Leak Your Credentials

Source: DEV Community·

Summary

A 2026 empirical study found that the reusable "skills" we plug into AI agents leak credentials at scale, usually during ordinary use, with no exploit…
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-4a4c7fa8b1962bda6f9495a4
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
What a test HL7 v2 sender has to get right
Sending an HL7 v2 message is easy. Open a TCP socket, wrap the message in MLLP framing, write it, and...
Source: DEV Community
TutorialsOrdinary
The retrieval pipeline worked. The product question remained.
I assumed that if search found the right document, that was good enough for a conversational...
Source: DEV Community
TutorialsOrdinary
Can you deploy Hermes Agent in a Microsoft enterprise? Intune, Teams, Entra ID and Graph, checked against the code
What already works with Microsoft 365, what is still missing for a company-wide rollout, and the pilot checklist I use.
Source: DEV Community
TutorialsOrdinary
The hard part of agent memory is knowing when to ask
This is a submission for the Kaggle Benchmarking Challenge I gave 39 language models the same...
Source: DEV Community
TutorialsOrdinary
Can a Better Model Be a Worse Thinking Partner?
I first noticed something missing while reviewing saved discussions of Microsonya, my Telegram...
Source: DEV Community
TutorialsOrdinary
PALABRE: An AI-Powered Cultural Treasure Hunt That Gets You Off Your Phone
This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 1 — Touch Grass. ...
Source: DEV Community
TutorialsOrdinary
I built an offline AI that knows your last frost date, no internet, no API
An open-weight tabular model forecasts your last spring frost and a local Gemma writes the planting advice. Fully offline, no account, $0 to run.
Source: DEV Community
TutorialsOrdinary
No method has been shown to predict what software to build. So I'm backtesting mine on three years of store data
Update, Oct 9: I wrote this on Sept 29. The first backtest finished on Oct 1. One signal first looked...
Source: DEV Community
TutorialsOrdinary
Super-Intelligent Yes-Men: Are We Training AI to Ignore the Truth?
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked A published...
Source: DEV Community
TutorialsOrdinary
Building AI-Ready Life Sciences Data Platforms: From Audit to Analytics
In September 2026, IQVIA called trusted data, responsible AI, and enterprise governance the new...
Source: DEV Community