Security Scan Report: wslu.wedotstud.io

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 3 countries across 5 domains to perform 30 HTTP transactions. The main domain is wedotstud.io and was registered 4 years 4 months ago.

Submitted URL: https://wslu.wedotstud.io/wslu/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate, serving documentation for the wslu project with no phishing or malware indicators.

Safety Factors (4)
Self‑branding
Well‑established domain age
No malicious forms or exfiltration
No threat‑intel or IDS alerts
Domain age information unavailable

Details

Page Title

wslu | wslu Wiki

Scan Type

public

Domain Name Analysis

Within the British Indian Ocean Territory country-code top-level domain (.io), 'wslu.wedotstud.io' is registered with subdomain 'wslu'. Its registrable label 'wedotstud' stretches across 9 characters containing three vowels alongside six consonants. Splitting it apart reveals 3 words: we, dot, stud. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wslu.wedotstud.io/wslu/

Page Load Overview

2.31s
Total Load Time
415 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:4,033 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software59% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
59%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10209.51.188.116Scarborough, Maine, United States
AS22989Free Software Foundation, Inc.
105.223.48.250Singapore, Singapore
AS215859Hetzner Online GmbH
10140.82.121.4Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
303--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0239522C891419B5422C6CDA976733E30E30C99F44D2565FEFF026CA6AEEC1B077B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8YIIMDMHz38v5CNk6DMHz38v5Sz5zRW0H2URXpMbFX0nTsPqERdQvZxkG0InP0:lIIMDMHz38v5CjDMHz38v5SrW0H2UR52

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46780:GhwE20EtlQyJACQSGNKpsAHAQBaDBVgQgEZDABkAEQ6AOKiQjCRoScoDRQzRgrZSgdIIgCCwIDhwCLjBWTwpEsAeJBAmE20C

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:5cc2c6c7c7cfc7cf
Perceptual Hash:b045cdc2cacadb4e
Difference Hash:b016141c1c181614
Wavelet Hash:5cc2c6c6c3c7c2ce
Color Hash:#931f48

Other Hashes

Crop Resistant:b016141c1c181614

Scan History

Scan history not available

Unable to load historical scan data