Security Scan Report: whoareyou.mohammad-javad-87-89.workers.dev

Redirected to:
https://whoareyou.mohammad-javad-87-89.workers.dev/ar
Submitted: Jun 14, 2026, 2:01:58 PMCompleted: Jun 14, 2026, 2:02:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is whoareyou.mohammad-javad-87-89.workers.dev and was registered NaN years ago.

Submitted URL: http://whoareyou.mohammad-javad-87-89.workers.dev/ar

Effective URL: https://whoareyou.mohammad-javad-87-89.workers.dev/arRedirected

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

The site pretends to be Speedtest.net but is hosted on an unrelated workers.dev subdomain with unknown age, indicating brand impersonation and high risk.

Risk Factors
Brand impersonation via meta tags
Unranked domain
Unknown subdomain age
Eval() usage in JavaScript
Domain age information unavailable

Details

Page Title

429 Too Many Requests

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

technology software

(45%)

Domain Information

You're looking at domain 'whoareyou.mohammad-javad-87-89.workers.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'whoareyou.mohammad-javad-87-89'. Its registrable label 'workers' stretches across 7 characters containing 2 vowels alongside 5 consonants. Breaking it apart gives 1 word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://whoareyou.mohammad-javad-87-89.workers.dev/ar

Page Load Overview

2.44s
Total Load Time
68
HTTP Requests
23
Domains
3.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
HTML Lang Attribute:ar
Text Length:3,606 chars
Detector Agreement:100%
Language mismatch: Declared as ar but detected as en

Website Classification

Primary Category

technology software45% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
45%
documentation technical
39%
government public service
30%
download file sharing
27%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
68188.114.97.3United States
AS13335Cloudflare, Inc.
681--

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:#5b862d

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data