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zeek_ja3_fingerprints

Extract and analyze JA3/JA3S TLS fingerprints from SSL logs to identify client TLS implementations and detect known malicious fingerprints.

Instructions

Extract and analyze JA3/JA3S TLS fingerprints from SSL logs. Identifies client TLS implementations and can detect known malicious fingerprints. JA3 fingerprints persist even when domains/IPs change, making them valuable for tracking threat actors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dstIpNoFilter by destination IP
limitNoMax records to analyze
srcIpNoFilter by source IP
timeToNoEnd time (ISO 8601)
ja3HashNoSearch for specific JA3 hash
timeFromNoStart time (ISO 8601)
serverNameNoFilter by SNI hostname
Behavior4/5

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

No annotations are provided, so the description carries full responsibility. It discloses that the tool extracts fingerprints, identifies implementations, detects malicious ones, and notes that JA3 fingerprints persist despite infrastructure changes. This gives a clear behavioral profile without contradictions.

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

Conciseness5/5

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

The description is two sentences long, with the first sentence immediately stating the action and resource, and the second adding value. No filler or redundant information. Every sentence earns its place.

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

Completeness4/5

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

Given the tool is a straightforward query/analysis tool with no output schema, the description effectively covers its purpose and significance. The lack of output schema is not a gap here. The description adequately sets context for an AI agent to select and use the tool.

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?

All 7 parameters have descriptions in the schema (100% coverage), so the description adds little beyond stating the tool's purpose. It does not elaborate on parameter usage or relationships, which is acceptable since the schema is comprehensive. Baseline score of 3 applies.

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 extracts and analyzes JA3/JA3S TLS fingerprints from SSL logs. It specifies that it identifies client TLS implementations and can detect known malicious fingerprints, distinguishing it from related tools like zeek_ja3_hunt. The verb 'Extract and analyze' combined with the specific resource (JA3 fingerprints) makes the purpose unambiguous.

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

Usage Guidelines3/5

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

The description implies usage for tracking threat actors due to fingerprint persistence, but does not explicitly state when to use this tool over alternatives like zeek_ja3_hunt or other Zeek analysis tools. No direct comparison or exclusion criteria are given, leaving the agent to infer context.

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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