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kali_exploit_msfvenom_generate

Generate custom Metasploit payloads for authorized security testing by specifying payload type, target host/port, and output format.

Instructions

Generate custom payloads for Metasploit Framework.

Msfvenom is a payload generator and encoder combining msfpayload and msfencode.

WARNING: Only use generated payloads for authorized security testing.

Common Payloads:

  • windows/meterpreter/reverse_tcp

  • linux/x64/shell_reverse_tcp

  • php/meterpreter/reverse_tcp

Example:

  • payload="linux/x64/shell_reverse_tcp", lhost="192.168.1.100", lport=4444, format="elf"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesPayload type (e.g., 'windows/meterpreter/reverse_tcp', 'linux/x64/shell_reverse_tcp')
lhostYesLocal host IP for reverse connections
lportYesLocal port for reverse connections
formatNoOutput formatraw
archNoTarget architecture
platformNoTarget platform
encoderNoEncoder to use (e.g., 'x86/shikata_ga_nai')
iterationsNoNumber of encoding iterations
output_fileNoOutput file path
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions the tool generates payloads and includes a security warning, but does not detail behavioral traits like required permissions, rate limits, or what the output looks like. The example gives some context, but more operational details would be helpful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections (warning, common payloads, example) and avoids unnecessary verbosity. Every sentence adds value, such as the security warning and practical examples, making it efficient and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a payload generation tool with 9 parameters, no annotations, and no output schema, the description is moderately complete. It covers purpose, security context, and examples, but lacks details on output format, error handling, or integration with other tools, leaving some gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value by listing common payload examples and an example usage, but does not provide additional semantics beyond what the schema specifies. Baseline 3 is appropriate given high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verbs ('Generate custom payloads') and resources ('for Metasploit Framework'), distinguishing it from sibling tools focused on scanning, fuzzing, or cracking. It explicitly mentions msfvenom's role as a payload generator and encoder, making its function unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context with a warning for authorized use only, but does not explicitly state when to use this tool versus alternatives or mention any prerequisites. It lists common payloads and an example, which helps guide usage, but lacks direct comparison with sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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