Security Scan Report: go-gin-template-5586h74h0y.edgeone.app

Submitted: Apr 15, 2026, 4:35:32 AMCompleted: Apr 15, 2026, 4:36:41 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is go-gin-template-5586h74h0y.edgeone.app and was registered NaN years ago.

Submitted URL: https://go-gin-template-5586h74h0y.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: 80%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Safety Factors
Absence of credential or payment forms
No malicious indicators (IoCs, YARA, IDS alerts)
Content appears to be technical documentation for Gin framework
Domain age information unavailable

Details

Page Title

Gin + EdgeOne Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(51%)

Domain Information

The domain name 'go-gin-template-5586h74h0y.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'go-gin-template-5586h74h0y'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://go-gin-template-5586h74h0y.edgeone.app/

Page Load Overview

0.79s
Total Load Time
10
HTTP Requests
1
Domains
123 KB
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-US
Text Length:1,496 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
51%
documentation technical
44%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.152.26.58Singapore
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CDA2B7316104AB3ED85BCBE9B1BC7F3A62DF825ED62F8418E5ED426507C2C35D923990

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dauc0PVcvW/SKkLZug6ohYjY1r5NCYvLYvHYvmYvPYvPsYvmYvLCuGZRUC5PWd:dauc0PVcO/SKOZug6ohYjY1rHCYvLYvX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23030:goJAGYINNCRkRNk8AgyKJASwFVIaRYESICIGFGHaVE4AFQiBEQRGiRGgXHFqCPyAiRo4YABCQwx0SiONF0kpyAqSVQAQAEkA

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:0119193d3d3d3d3d
Perceptual Hash:8a393d3366666473
Difference Hash:2373236169696961
Wavelet Hash:0119193d3d3d3d3d
Color Hash:#d2382d

Other Hashes

Crop Resistant:2373236169696961

Scan History

Scan history not available

Unable to load historical scan data