Security Scan Report: vp-sheknur-vai-ai-hack-u8vd0qh5xz.edgeone.app

Submitted: Jan 31, 2026, 9:46:06 PMCompleted: Jan 31, 2026, 9:47:17 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is vp-sheknur-vai-ai-hack-u8vd0qh5xz.edgeone.app and was registered NaN years ago.

Submitted URL: https://vp-sheknur-vai-ai-hack-u8vd0qh5xz.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: 82%

2
Risk Score

Low risk site; no phishing forms, but contains exposed credential strings – avoid submitting personal data.

Risk Factors
Publicly displayed password and SSN strings in page content
Safety Factors
Established domain age (>365 days)
No forms collecting sensitive data
No malicious Indicators of Compromise matches
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

VP SHEKNUR VAI

Scan Type

public

Language

🇪🇪

ET

(43% confidence)

Category

social media network

(99%)

Domain Information

Domain 'vp-sheknur-vai-ai-hack-u8vd0qh5xz.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'vp-sheknur-vai-ai-hack-u8vd0qh5xz'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Word splitting yields two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vp-sheknur-vai-ai-hack-u8vd0qh5xz.edgeone.app/

Page Load Overview

3.15s
Total Load Time
44
HTTP Requests
8
Domains
545 KB
Total Size

Language Analysis

Primary Language

🇪🇪ET
Code: et
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:et
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:en
Text Length:131 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as et

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
news media journalism
36%
adult content
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1645.43.142.101Singapore
1443.152.26.58Singapore
14188.114.96.3United States
AS13335Cloudflare, Inc.
443--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176C1A67334051837A22B94FA6CA2D79E3194E523F9A34B0C88F8A61DC5C6CDB5536B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T+0gS6pKdhIkUHNtoh16q6bBqeQ813rzYgU5t03Nvry8ARHYWKKJ0ErW:a+6p+hIkUHNti161bBVQo7S09vry8Aib

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5871:QBFAAQsCQOEQIBCGELlIxAAGIaOoRAAgSJQDQFAQMDSgChAUUIEsQPQZQAIQoQAAIQQFEASAAGBiAGAchACKIQEgCCBykIAF

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:88002022fefeffdc
Difference Hash:b2f2b232b2b2b2b2
Wavelet Hash:3c3c3c3c3c3c1818
Color Hash:#53aca5

Other Hashes

Scan History

Scan history not available

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