Urgent.News

What's breaking now, across thousands of outlets.

Tech

The MCP server that changes its mind after you approve it

Here is an MCP server config. Nothing about it is unusual. { "mcpServers" : { "notes" : { "command" : "npx" , "args" : [ "-y" , "notes-mcp@1.2.0" ], "tools" : [ { "name" : "append_note" , "description" : "Append a note to the user's notebook." } ] } } } You read the description. It appends a note. You approve it, you commit the config, you move on. That is the correct decision with the…

The MCP server can change its behavior after you approve it, posing a significant security risk. This unexpected change doesn't trigger alerts from typical security tools, as they focus on scanning package.json files, source code, and other traditional code artifacts. The issue stems from how tool descriptions are integrated into the model's context window, making them part of the prompt content that the model uses to generate responses.

Since there's no lockfile or signature to pin these descriptions, they can be changed by any maintainer, and the updated text is loaded by the agent without any scrutiny. Detection tools like Dependabot, Snyk, Trivy, Semgrep, CodeQL, and git diff are ineffective here, as they only monitor code repositories and do not parse the tool descriptions.

The proposed solution is to create a lockfile (bulwark.lock) that captures the content hash of every string your model is allowed to be told, effectively locking down the tool descriptions. This lockfile should be committed to your version control system, ensuring that any change made after your review will be detected. Implementing this approach raises the cost of the attack by making it harder for the adversary to change the tool descriptions without detection, and it records the attempt, providing valuable evidence for security teams.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in Tech

Automating Threat Intelligence: Integrating CVE Bots and Open Datasets into Your SecDevOps Pipeline

Originally published on tamiz.pro . Introduction: The Shift from Reactive to Proactive Security The traditional security operations model is no longer sufficient for the speed of modern software…

  • Automating threat intelligence integrates CVE bots and open datasets into SecDevOps pipeline.
  • Automated CVE tracking bots shift from static vulnerability lists to dynamic security postures.

יומן הבטחות — Hebrew promise-ledger for מסמך (not a CRM) · Path Two

Path Two: יומן הבטחות (promise-ledger) Challenge: Sanity Challenge 2026 Path: Two — Vibe-code something strange Brand / DEV: מסמך / כלים נבחרים · kelimok47 Sanity project ID: 8axt363c Dataset…

  • Promiseledger is Hebrew RTL app for managing commitments, built by kelimok47
  • Records promise details: requester, promise, due date, status
  • Launched September 20, 2026, in challenge window with AI-assisted development

More from Sunday 20 September →