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Security Scan Report: dkwln-vip-ai-hack-8p5y1xnoj4.edgeone.app

Submitted: Apr 8, 2026, 2:12:55 AMCompleted: Apr 8, 2026, 2:14:23 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is dkwln-vip-ai-hack-8p5y1xnoj4.edgeone.app and was registered NaN years ago.

Submitted URL: https://dkwln-vip-ai-hack-8p5y1xnoj4.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site shows minor suspicious signals (unknown subdomain age, obfuscated JS) but lacks concrete malicious activity such as credential harvesting or malware distribution.

Risk Factors
Unknown subdomain age on a hosting platform
Use of Function() constructor (potential code generation)
Suspicious branding language without legitimate context
Safety Factors
No forms collecting credentials or payment data
No malicious Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

▀▄▀▄ দুলাভাই ▄▀▄▀█◤

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

social media network

(98%)

Domain Information

The domain 'dkwln-vip-ai-hack-8p5y1xnoj4.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'dkwln-vip-ai-hack-8p5y1xnoj4'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dkwln-vip-ai-hack-8p5y1xnoj4.edgeone.app/

Page Load Overview

6.13s
Total Load Time
47
HTTP Requests
8
Domains
2.6 MB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:bn
Text Length:110 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
healthcare medical
60%
forum community discussion
49%
technology software
34%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1743.152.26.58Singapore
AS139341ACE
15139.99.69.210Singapore, Singapore
AS16276OVH SAS
1546.105.222.162France
AS139341ACE
473--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BB1832334192611B313B4E13F63C71F221ED953EB0B166D25D66888C2CE49B457B78D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:XEXKPeK060CPzvOIXWmbiIiG9DM+AXBkI+:6tdCPzvxmmb/iGCj+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5397:AAEigAEmghAAAABQCAmWANQSEBSAFAAIEABBABCNxIkCAVwsJCAIQEAsiUAACAEAARGAC8AEkEAoXBEDTgQhAChQgAwCJAGw

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:1818181818181818
Perceptual Hash:99666666646699d9
Difference Hash:32b2b2b2b2b2b2b2
Wavelet Hash:dcdcdcdc18181818
Color Hash:#2dd2a1

Other Hashes

Crop Resistant:32b2b2b2b2b2b2b2

Scan History

Scan history not available

Unable to load historical scan data