Security Scan Report: old-gold-1oyqk3omdf-jclzaqncwg.edgeone.app

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Submitted: May 8, 2026, 6:17:24 AMCompleted: May 8, 2026, 6:19:09 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 old-gold-1oyqk3omdf-jclzaqncwg.edgeone.app and was registered NaN years ago.

Submitted URL: https://old-gold-1oyqk3omdf-jclzaqncwg.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: 78%

2
Risk Score

The site shows no malicious activity and lacks credential or payment forms, but the subdomain’s creation date is unknown, resulting in a low‑risk rating.

Risk Factors
Unknown subdomain age on a hosting platform
Safety Factors
Absence of forms or credential fields
No malicious Indicators of Compromise
No JavaScript malware signatures
Low JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

education learning

(85%)

Domain Information

You're looking at domain 'old-gold-1oyqk3omdf-jclzaqncwg.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'old-gold-1oyqk3omdf-jclzaqncwg'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://old-gold-1oyqk3omdf-jclzaqncwg.edgeone.app/

Page Load Overview

1.35s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:1,228 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning85% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
85%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D419712F3F53183019650E6D8C1ADA98FA4EF03730D45D4365D88866FC7C2CD427A99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:fe31v1fg7Py0q0HNwN+ppelBZpuxDTywrn4mQPALUQDN/B/rq2YG:m3Fhgm0LiLZpuFewrMPAnLq25

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2274:EMAkAIEAQAAAABABCiABAAJFgTAAAAACgBCQAAAAAAAAAAAAAAAgAoAAAAQLyBAAAEQQAAAAACAAWQACAUAAAAEgAhRAAAAA

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:007f7f7f7fffffff
Perceptual Hash:80007f2f237f7f28
Difference Hash:ddc0a080c0400000
Wavelet Hash:002f0f0f0000c0c0
Color Hash:#936b1f

Other Hashes

Crop Resistant:ddc0a080c0400000

Scan History

Scan history not available

Unable to load historical scan data