Deserialize a base64-encoded Python pickle object for data transfer between services.
AI agents invoke deserialize_object to trigger actions in Vulnerable MCP Server. 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.
Python's pickle module allows arbitrary code execution during deserialization. An attacker (or misused AI agent) can craft a malicious pickle payload that runs any system command or code when deserialized.
From the tool's definition Deserialize a base64-encoded Python pickle object — Python pickle deserialization is a well-known arbitrary code execution vector; combined with a server explicitly described as 'deliberately insecure' and a pentest lab context, this tool can execute…
Attacks that exploit this kind of access
Deserialize a base64-encoded Python pickle object for data transfer between services. It is categorised as a Execute tool in the Vulnerable MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vulnerable MCP Server MCP server in PolicyLayer and add a rule for deserialize_object: 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 Vulnerable MCP Server. Nothing to install.
deserialize_object 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 deserialize_object 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 deserialize_object. 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.
deserialize_object is provided by the Vulnerable MCP Server MCP server (joyghoshs/vulnerable-mcp-server). 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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