Security Scan Report: cnynbn.pages.dev

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Submitted: May 3, 2026, 4:49:22 PMCompleted: May 3, 2026, 4:51:23 PMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 15 domains to perform 42 HTTP transactions. The main domain is cnynbn.pages.dev and was registered NaN years ago.

Submitted URL: https://cnynbn.pages.dev/ar

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 429 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

429 Too Many Requests

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

healthcare medical

(67%)

Domain Information

Domain 'cnynbn.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'cnynbn'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cnynbn.pages.dev/ar

Page Load Overview

0.61s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:32,299 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical67% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
67%
documentation technical
58%
finance banking
52%
adult content
50%
technology software
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.226.244.99United States
AS16509Amazon.com, Inc.
0135.125.170.108France
AS16276OVH SAS
0178.250.1.12France
AS44788Criteo Technology SAS
0172.66.47.112United States
AS13335Cloudflare, Inc.
0142.251.20.95United States
AS15169Google LLC
034.225.22.20Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
023.36.162.6Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0142.251.127.84United States
AS15169Google LLC
03.232.48.51Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
023.56.202.65Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
215--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB1408F162B8536D808B979DEF36BA18630FE0B7F59649D5B79D8B644B83DE0E803404

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Nb3F6qv4kyDs0xE6J/CgbcVKzoKeMXKLnpI6dDcPXE+ymj6aslNzlbsjq0Aok358:ddgDbagbcVMaWUZD+3UbwnZcXd9i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:196985:SWEDoSgKCnBhKEISiEHSCEBwYAYsAYDGBFkAAwhgVHgyZs6UoIAYERACYrwQICAnanJgsIIBqpZCAhJRFBTg4jDAJhGAoFGA

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:6fbdfdfdfdfd0101
Perceptual Hash:aad522f10af522f5
Difference Hash:9d31353131352161
Wavelet Hash:6f3f393939190101
Color Hash:#783e3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data