Security Scan Report: tawhid-vai-pramium-ai-hack-b9tn1wwtlr.edgeone.app

Submitted: Apr 9, 2026, 11:35:34 AMCompleted: Apr 9, 2026, 11:37:01 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 7 domains to perform 11 HTTP transactions. The main domain is tawhid-vai-pramium-ai-hack-b9tn1wwtlr.edgeone.app and was registered NaN years ago.

Submitted URL: https://tawhid-vai-pramium-ai-hack-b9tn1wwtlr.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New subdomain with password collection; high likelihood of credential phishing – avoid and report.

Risk Factors
New/unknown-age subdomain on a free hosting platform
Credential collection form (password fields) on a brand‑new domain
Use of Function() constructor indicating potentially obfuscated code
Domain age information unavailable

Details

Page Title

𝐓𝐀𝐖𝐇𝐈𝐃𓆩𝐓🅡𓆪𝐎𝐖𝐍𝐄𝐑 - VIP SYSTEM

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(61%)

Domain Information

You're looking at domain 'tawhid-vai-pramium-ai-hack-b9tn1wwtlr.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'tawhid-vai-pramium-ai-hack-b9tn1wwtlr'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Tokenizing the label suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tawhid-vai-pramium-ai-hack-b9tn1wwtlr.edgeone.app/

Page Load Overview

3.77s
Total Load Time
52
HTTP Requests
9
Domains
474 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:147 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software61% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
61%
government public service
55%
documentation technical
49%
cryptocurrency blockchain
38%
healthcare medical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1245.43.142.101United Kingdom
AS16276OVH SAS
8142.251.127.94Singapore
843.152.26.58Singapore
8162.125.66.18Unknown
8104.21.13.54United States
AS13335Cloudflare, Inc.
8162.125.66.15UnknownUnknown
526--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ECD1851295B652667593E160BFF3874B32296103D2068B783EED41A0CFCD9F8C9AB74C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+9uhTXQzDxXHLXA3dFSm8nYMl+JD1fH5tsGZ:KLtbGdF3ZtsU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6580:qAoABAGoAUzQIggA2aQAQBajQQRaACMwVDRGDgaAQQs4AjkgEAIsmhBxFAhBUlAmAUALIEGEAVkAgIICWGCIoEUUAKIBEICs

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:0818181818181818
Perceptual Hash:ddaa7723aa77a800
Difference Hash:52b2b2b2b3b2b0b0
Wavelet Hash:1c1c1c1c3b383c3c
Color Hash:#79a9d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data