Security Scan Report: tw.woju.app

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Submitted: Feb 9, 2026, 2:40:59 PMCompleted: Feb 9, 2026, 2:42:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is tw.woju.app and was registered NaN years ago.

Submitted URL: https://tw.woju.app

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no detected threats.

Safety Factors
Established domain (>180 days)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No external links or redirects
Domain age information unavailable

Details

Page Title

tw.woju.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Domain 'tw.woju.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'tw'. The second-level label 'woju' is 4 characters long containing two vowels alongside two consonants. Tokenizing the label suggests two words: woj, u. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tw.woju.app

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:729 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
65%
adult content
53%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.224.199.26United States
AS40065CNSERVERS LLC
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8OldQ:FhoC9JSqzzbs6o3Sj3gcrsk2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184446:ADRbS0AAdMApUSbWGgAoQQBGHIIoMCkBOgiAMgUMEJgAPsAqAwMUkQAGiJQxrAJJHSdxAAjEEiAoNt6IsKCEUaZErTQAlYIg

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:ffcfc7cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#a92dd2

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data