Security Scan Report: jia-v5j.pages.dev

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Submitted: Dec 11, 2025, 2:26:43 PMCompleted: Dec 11, 2025, 2:28:00 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is jia-v5j.pages.dev and was registered NaN years ago.

Submitted URL: https://jia-v5j.pages.dev/de/apps/mac

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
No suspicious redirects or brand impersonation
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

429 Too Many Requests

Scan Type

public

Language

🇺🇸

English

(25% confidence)

Category

news media journalism

(71%)

Domain Information

The domain 'jia-v5j.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'jia-v5j'. Its registrable label 'pages' stretches across 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jia-v5j.pages.dev/de/apps/mac

Page Load Overview

1.03s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:25%
Script Type:Latin
Text Length:53 chars
Detector Agreement:67%

Website Classification

Primary Category

news media journalism71% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
71%
adult content
68%
cryptocurrency blockchain
65%
healthcare medical
64%
government public service
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.44.81United States
AS13335CLOUDFLARENET
0172.66.47.175United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2c51United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2fafUnited States
AS13335CLOUDFLARENET
24--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156C08C0EE9E7300FD82399B32D83A680C2758272D04C18700106B2EF70C3462C082B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxgRO01RPqR1XbvxL4AqWOx1RPGbZClITULKqNqNqz:qzxUziR1XLx0AqWmebIlIgINqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c88502878dfd1a295164dfcf8ce6d165

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:00ffffffffffffff
Perceptual Hash:e666666666666632
Difference Hash:0c00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#931f33

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data