Security Scan Report: gothic-yellow-kz9himuijb-9flnldq0q7.edgeone.app

Submitted: Mar 1, 2026, 12:14:24 PMCompleted: Mar 1, 2026, 12:15:56 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 7 HTTP transactions. The main domain is gothic-yellow-kz9himuijb-9flnldq0q7.edgeone.app and was registered NaN years ago.

Submitted URL: https://gothic-yellow-kz9himuijb-9flnldq0q7.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: 88%

1
Risk Score

No malicious activity detected; appears to be a legitimate support contact page.

Safety Factors
Standard contact form only
No credential or payment collection
No known malicious scripts or behaviors
HTTPS connection (implied by URL scheme)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Fluid Link 360 | Premium Support

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

technology software

(25%)

Domain Information

The domain 'gothic-yellow-kz9himuijb-9flnldq0q7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'gothic-yellow-kz9himuijb-9flnldq0q7'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. It segments into 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://gothic-yellow-kz9himuijb-9flnldq0q7.edgeone.app/

Page Load Overview

6.56s
Total Load Time
7
HTTP Requests
4
Domains
100 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:126 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software25% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.201.67Singapore
1104.18.1.22Singapore
143.152.26.58Singapore
1172.217.16.170SingaporeUnknown
74--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8F1A62A5268293CB803819DFF65B71929777003A609951E7CEC02B8CF4ED9DE1376D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:o35HImIemDUnG12AJorWOCZOZO/ROugOcJ8CCqC8Y8:oHIflQY8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7666:QgASzSBAXBQiPgUCrbqBYAKBLgD6AVA1RAEYVCwEsECFDFgCKAMEBgjEYWgOEsQCYwREM0FTxYAhARpDgIhIVHwKQkghE8ME

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:01191b1b0f1b1f07
Perceptual Hash:887373cc3299cc73
Difference Hash:ef73b3b3bbb2b3cd
Wavelet Hash:01191b1b1f1f1f1f
Color Hash:#87c5b5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data