Security Scan Report: jyang26.pages.dev

Submitted: Dec 19, 2025, 12:06:13 AMCompleted: Dec 19, 2025, 12:06:23 AMpubliccompleted
Loading additional data...

Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is jyang26.pages.dev and was registered NaN years ago.

Submitted URL: https://jyang26.pages.dev/pl/about/accessibility

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Impersonates Ookla on an untrusted domain; high risk of phishing.

Risk Factors
Brand impersonation (Ookla) on a non‑official, unranked domain
Unranked domain (not in Cisco Umbrella top 1 M) while presenting official‑brand content
429 Too Many Requests page displayed, suggesting abnormal access patterns
Domain age information unavailable

Details

Page Title

429 Too Many Requests

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

documentation technical

(81%)

Domain Information

Domain 'jyang26.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'jyang26'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. It segments into one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jyang26.pages.dev/pl/about/accessibility

Page Load Overview

2.97s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
HTML Lang Attribute:pl
Text Length:2,411 chars
Detector Agreement:100%
Language mismatch: Declared as pl but detected as en

Website Classification

Primary Category

documentation technical81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
81%
technology software
63%
government public service
30%

Detected Features

No structural features detected

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:#77ac53

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data