expand_cab
AI agents invoke expand_cab to trigger actions in Windows Operations MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
CAB files are Windows cabinet archives. Expanding them involves file extraction and writing files to disk, which could be used to deploy arbitrary files. The empty description lowers confidence.
From the tool's definition Tool name 'expand_cab' suggests expanding/extracting CAB (Cabinet) archive files, which is an Execute-level operation; description is empty and uninformative.
Attacks that exploit this kind of access
expand_cab. It is categorised as a Execute tool in the Windows Operations MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Windows Operations MCP server in PolicyLayer and add a rule for expand_cab: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Windows Operations MCP. Nothing to install.
expand_cab is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the expand_cab rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for expand_cab. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
expand_cab is provided by the Windows Operations MCP server (sandraschi/windows-operations-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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