Security Scan Report: cuo.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 5 domains to perform 21 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://cuo.pages.dev/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Unranked Cloudflare Pages subdomain serving ordinary calculator/guide articles with no forms, no impersonation and no threat-intel or malware hits; nothing malicious found, unestablished reputation only.

Risk Factors (2)
Subdomain on a shared hosting platform (pages.dev) with unknown actual creation date; the parent domain's registration date does not apply to this page
Domain is unranked in the Cisco Umbrella top 1M — reputation is unestablished for this specific host
Safety Factors (5)
No forms of any kind, so no credential, login or payment data is collected
No brand impersonation — the site displays only its own name/domain
No threat-intelligence matches, no YARA hits, no known malicious kit, no JS credential exfiltration
Content is ordinary educational/calculator material consistent with a legitimate hobby or utility site
Third-party scripts come from ranked, popular hosts (cdnjs.cloudflare.com, histats, bing)
Domain age information unavailable

Details

Page Title

cuo.pages.dev

Scan Type

public

Domain Name Analysis

The domain name 'cuo.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'cuo'. The registrable portion 'pages' spans 5 characters holding two vowels versus 3 consonants. Breaking it apart gives one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cuo.pages.dev/

Page Load Overview

1.43s
Total Load Time
346 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:6,960 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
96%
adult content
69%
government public service
57%
documentation technical
54%
technology software
40%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.129.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2149.56.240.131Montreal, Quebec, Canada
AS16276OVH SAS
2150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.20.8.131Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.47.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2149.56.240.127Montreal, Quebec, Canada
AS16276OVH SAS
2110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1D2753048F53A319543B3F17BA43A1CAF82194365A31E60325C8A59DF91FE38DE7DA8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:YfUuBag4Ks2oTaobTwL0sVGY8v+AwQsUH2V:YHBag48oYBBWRO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30122:AiIEShCAmpQBYE6ChgWIAAYIMhxKZIRShpjFoBqMoAJg4SWDAYnKeUoGAhvAicgARhKAIEcB6ARDKJQhADUpBsOeQJ0LkEAN

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffe7e7e7e7e7e7ff
Perceptual Hash:b299993399666699
Difference Hash:960e4d4d4d4d0f16
Wavelet Hash:00c2c7c7c7c7c3c3
Color Hash:#40bf51

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data