Security Scan Report: 01-592.pages.dev

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Submitted: Feb 1, 2026, 4:19:40 PMCompleted: Feb 1, 2026, 4:21:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is 01-592.pages.dev and was registered NaN years ago.

Submitted URL: https://01-592.pages.dev/zh-Hant

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows a 429 error, has no malicious indicators, but the new, unranked subdomain warrants moderate caution.

Risk Factors
Subdomain on generic hosting platform with unknown creation date
Unranked domain (not in Cisco Umbrella top 1M) indicating low reputation
Safety Factors
No forms collecting sensitive data
HTTPS connection (secure transport)
Standard 429 error page, no malicious content detected
No external links or redirects
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

(29% confidence)

Category

technology software

(76%)

Domain Information

The domain '01-592.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain '01-592'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and 3 consonants. Splitting it apart reveals one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://01-592.pages.dev/zh-Hant

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:zh-Hant
Text Length:1,117 chars
Detector Agreement:50%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
39%
government public service
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.47.66United States
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBF0909F9F16303F2E238572F8835168CF740966EB9C25E28749215F72CA041C8B5FAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxYy1bx0AqNvlIgIHTF83TF83TF83TF83TF83TFf:kl1mAW8TuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554:AAAAAAAAEAgAAAAAAAgAIAAAAAABAAAAAAAAQAAAAAAAAAIAAAAAAAAAAAAACAAAAIAAAABBAAAAAAAAACAQAAAAAAAQAEAA

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:#9d40bf

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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