Security Scan Report: hangovereg-yjpdlifce1.edgeone.app

Submitted: Feb 14, 2026, 12:46:38 AMCompleted: Feb 14, 2026, 12:48:13 AMpubliccompleted
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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 hangovereg-yjpdlifce1.edgeone.app and was registered NaN years ago.

Submitted URL: https://hangovereg-yjpdlifce1.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 indicators detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise matches
No credential or payment forms present
No JavaScript malware detected
No external domains linked
Domain age information unavailable

Details

Page Title

hangovereg-yjpdlifce1.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Within the application-focused generic top-level domain (.app), 'hangovereg-yjpdlifce1.edgeone.app' is registered, featuring subdomain 'hangovereg-yjpdlifce1'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. It segments into two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hangovereg-yjpdlifce1.edgeone.app/

Page Load Overview

8.09s
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:795 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
53%
adult content
43%

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

T1CA048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8Oldq:khoC9JSqzzbs6o3Sj3gcrsw2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184556:ACQNYxgIRBIAEBUwAkhCJIBKJyoiIYMgSERCISikRaSmUI2okgQ0KAqCZxAAJ3hHapQBABDCiMBJMsQwMIgkLCs+YOVQBEIA

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:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#6cb3e0

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data