Security Scan Report: cstu.io

Redirected to:
https://vliet.me/easy-ham-and-eggcups/
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Submitted: Dec 3, 2025, 3:56:33 PMCompleted: Dec 3, 2025, 3:58:17 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 6 domains to perform 56 HTTP transactions. The main domain is vliet.me and was registered NaN years ago.

Submitted URL: https://cstu.io/623178

Effective URL: https://vliet.me/easy-ham-and-eggcups/Redirected

The Cisco Umbrella rank of the primary domain is #658,226 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Physical address visible
Business entity mentioned
Domain age > 1 year
Domain age information unavailable

Details

Page Title

Easy Ham and Eggcups – VLiet.me

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(77%)

Domain Information

Domain 'cstu.io' uses the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. The second-level label 'cstu' is 4 characters long holding 1 vowel versus three consonants. Word splitting yields two words: c, stu. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cstu.io/623178

Page Load Overview

1.87s
Total Load Time
56
HTTP Requests
6
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:60,554 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning77% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
77%
social media network
74%
entertainment media
74%
documentation technical
72%
technology software
70%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3263.250.43.147United States
AS22612NAMECHEAP-NET
1163.250.43.146United States
AS22612NAMECHEAP-NET
10142.250.184.195United States
AS15169GOOGLE
6142.250.185.110United States
AS15169GOOGLE
5142.250.186.162United States
AS15169GOOGLE
3104.26.1.9United States
AS13335CLOUDFLARENET
32606:4700:20::ac43:4991United States
AS13335CLOUDFLARENET
32a00:1450:4001:810::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32606:4700:20::681a:109United States
AS13335CLOUDFLARENET
32a00:1450:400a:1009::5fZurich, Zurich, Switzerland
AS15169GOOGLE
5616--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D13F873E4AD4426772A83E991A1B318E5BC911BCB05DB75B5FC52A85BE0EF210B370C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:l0c0NqDZdypJZYcElQ0K568080wD8dzloHv08aRVLI2t7/eJgWo0sCzajLFh+JIG:l0c0NYypLYcElQ0268080ddzloP0jRVY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45222:gJpJbbwBUUtVQMg3UcyaoMAQhJMsFDYKAvAWYAQoAkigmtDHXIUkiAAQoAkCEpUToIQFEO4OiAoEgvBcgSKEDoLQfyIYMEGI

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:ffffffffff1f0000
Perceptual Hash:afd52ed12ec03a89
Difference Hash:160e090930317733
Wavelet Hash:e6eeffff1f000000
Color Hash:#40bf59

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data