Security Scan Report: lovewanjinmybabe-4irbobas4n.edgeone.app

Submitted: Feb 17, 2026, 8:11:10 PMCompleted: Feb 17, 2026, 8:12:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is lovewanjinmybabe-4irbobas4n.edgeone.app and was registered NaN years ago.

Submitted URL: https://lovewanjinmybabe-4irbobas4n.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain age
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No detected JavaScript malware
Standard hosting without IPFS or cloud‑storage red flags
Domain age information unavailable

Details

Page Title

lovewanjinmybabe-4irbobas4n.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

Within the application-focused generic top-level domain (.app), 'lovewanjinmybabe-4irbobas4n.edgeone.app' is registered, featuring subdomain 'lovewanjinmybabe-4irbobas4n'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Splitting it apart reveals 2 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://lovewanjinmybabe-4irbobas4n.edgeone.app/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:813 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
50%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8Oldq:4hoC9JSqzzbs6o3Sj3gcrsk2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184586:HIU5sQECRFEAFgI8gmFGCpYYDpsCBBsyAxrGEgxI7JUABcct6LqkmBVNKAYFIBCAlAQq0ygAcDiPU2YCAYCmoRAAeAzDDBws

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#40bf90

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data