Security Scan Report: acceptable-gold-fhb82ihf59-nm5ib65l0w.edgeone.app

Submitted: Feb 26, 2026, 12:36:29 AMCompleted: Feb 26, 2026, 12:37:51 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is acceptable-gold-fhb82ihf59-nm5ib65l0w.edgeone.app and was registered NaN years ago.

Submitted URL: https://acceptable-gold-fhb82ihf59-nm5ib65l0w.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: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Hosted on a known platform (edgeone.app)
Personal greeting content, not phishing lure
No crossโ€‘origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Good Morning Hani khan ๐Ÿ’•

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

government public service

(36%)

Domain Information

Domain 'acceptable-gold-fhb82ihf59-nm5ib65l0w.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'acceptable-gold-fhb82ihf59-nm5ib65l0w'. The core label 'edgeone' covers 7 characters with 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://acceptable-gold-fhb82ihf59-nm5ib65l0w.edgeone.app/

Page Load Overview

0.89s
Total Load Time
5
HTTP Requests
3
Domains
21 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:140 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service36% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
36%
healthcare medical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
1142.250.187.202Singapore
1142.251.127.94SingaporeUnknown
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A61C4DAC6420C25716F815331921BE864704A02AA5BD87C97FDB10EEF82AAD57373B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TQp3CSnDQEJZ/KgwFAtHpRSRmRQRQRERYRms:EIcDQETyLEHpRSRmRQRQRERYRms

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3438:CgEwAYgAAKAAAAQAAhEAIAQEAAQqAhQQAAiQBAIgIACgUAAAAQoAYAECk5AQACAAAEREABEoAhYAYAAQCABAAwCIAAQiAEEC

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:000018183c000001
Perceptual Hash:88cd627689dd7362
Difference Hash:010d32b2aa080811
Wavelet Hash:03031f1f1f071f1f
Color Hash:#9953ac

Other Hashes

Crop Resistant:010d32b2aa080811

Scan History

Scan history not available

Unable to load historical scan data