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CMU-Cylab

GoodBotVerifiedBOT

An academic research bot, conducting research on patterns in counterfeit document sales over the internet. Operated by Carnegie Mellon University.

GoodBot
Assessment
Academic Research
Category
BOT
Kind
1
Data sources
AI-generated summary, drawn from Cloudflare, operator docs, and community data

What is CMU-Cylab?

CMU-Cylab is an automated crawler maintained by the CyLab Security and Privacy Institute at Carnegie Mellon University. It is designed to facilitate large-scale data gathering for academic research projects, often focusing on network security, privacy, and the evolution of web technologies. Unlike commercial crawlers, its activity is typically tied to specific university research initiatives rather than search indexing or advertising.

Helpful — This is a non-commercial, academic research tool used to gather data for cybersecurity and internet infrastructure studies.

Identification

Bot name
CMU-Cylab
Operator
Carnegie Mellon University
Category
Academic Research
Kind
BOT
Verification
Verified bot
Cloudflare slug
cmu-cylab
User-agent patterns
CMU-Cylab
User-agent string
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/140.0.0.0 Safari/537.36 (CMU-Cylab/1.0; +https://epp-jcalandr-01.andrew.cmu.edu/about.html)
Main use cases
Academic research data collectionCybersecurity and privacy studiesInternet infrastructure analysis
Rated Sep 23, 2026 from public evidence

How we rated this bot

Verified by Cloudflare, which confirms who runs it, with no widespread reports of abuse.

Names itself honestly
Yes
Verified by Cloudflare
Yes
Says it follows robots.txt and opt-outs
Not stated
Ignores site rules
None found
Disguises itself or evades blocks
None found
Overloads sites
None found
How widely people complain
No complaint about this bot in the evidence
Reddit discussion
There is no Reddit discussion of this bot in the evidence

What we read

Why it crawls your site

The bot crawls the web to build datasets necessary for empirical research into internet-scale security and privacy phenomena. By analyzing the structure and content of websites, researchers at CMU can identify trends in web vulnerabilities, privacy policy implementation, and user-facing security features. The operator provides a link to an informational page within the User-Agent string, allowing site administrators to identify the source of the traffic and contact the research team if necessary.

Block or allow CMU-Cylab

Block it

Add a Disallow rule for CMU-Cylab in your robots.txt file. You can also block at the server level using your web server configuration or CDN firewall rules to filter requests matching the user-agent string.

# Block CMU-Cylab from crawling your entire site
User-agent: CMU-Cylab
Disallow: /

# Allow CMU-Cylab full access
User-agent: CMU-Cylab
Allow: /
Allow & verify

Ensure your robots.txt allows CMU-Cylab. Verify requests by checking the user-agent string.

Traffic & trends

Cloudflare Radar traffic

No Cloudflare traffic data available.

Google Trends interest

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Data sources

This profile is compiled from the following sources.

CloudflareRadar
Last updated October 25, 2026

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