01
Quick answer
What is Splunk Attack Analyzer?
Splunk Attack Analyzer is an AI training crawler from Splunk used for AI model training, dataset discovery, and collection of public web content for model-development pipelines.
Its primary user-agent pattern is TwinWaveScanner.
Splunk Attack Analyzer is verified with Medium confidence. The identity type is Verified Bot, and the evidence basis is documented crawler-pattern evidence.
Splunk Attack Analyzer does not have confirmed robots.txt behavior in the available public evidence.
Splunk Attack Analyzer can usually be allowed after confirming the source and monitoring request volume.
02
Identity
How to identify this Bot
- User-Agent
TwinWaveScanner- robots.txt token
TwinWaveScanner- HTTP agent
TwinWaveScanner- Operator
- Splunk
- Family
- Splunk
- Technical kind
- fetcher
- Identity method
- verified-bot
03
Behavior
Purpose, behavior, and practical context
- Purpose
- ai-training
- Common use
- Splunk Attack Analyzer is used for AI model training, dataset discovery, and collection of public web content for model-development pipelines.
- Respects robots.txt
- unknown
- Spoofing risk
- Splunk Attack Analyzer has medium spoofing risk because user-agent strings can be copied; pair the match with DNS, IP, behavior, or operator evidence.
- Detection notes
- Splunk Attack Analyzer traffic is primarily detected by the `TwinWaveScanner` user-agent pattern. Compare source IPs, reverse DNS, request paths, and crawl cadence with Splunk infrastructure before trusting the traffic.
04
Verification and controls
Verification and blocking guidance
- Verification method
- Verify Splunk Attack Analyzer by matching `TwinWaveScanner` to Splunk evidence, then checking reverse DNS, source-network ownership, signed request data, or published crawler documentation when available.
- General blocking snippet
User-agent: TwinWaveScannerDisallow: /
05
Related records