Security Scan Report: creepy-azure-aujgbltnki-10cbrs9bq5.edgeone.app

Submitted: Mar 5, 2026, 7:39:25 AMCompleted: Mar 5, 2026, 7:40:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 67 HTTP transactions. The main domain is creepy-azure-aujgbltnki-10cbrs9bq5.edgeone.app and was registered NaN years ago.

Submitted URL: https://creepy-azure-aujgbltnki-10cbrs9bq5.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Site shows only an error message with no malicious activity, but the subdomain is new and unranked, so treat as moderate risk.

Risk Factors
Unknown subdomain age on a free hosting platform
Unranked domain (low visibility in reputation databases)
Safety Factors
No password, email, or payment fields present
No malicious JavaScript YARA patterns detected
No network IDS alerts reported
Content limited to an error message, no brand impersonation
Domain age information unavailable

Details

Page Title

+1 Yebid (3)

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

technology software

(73%)

Domain Information

The domain name 'creepy-azure-aujgbltnki-10cbrs9bq5.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'creepy-azure-aujgbltnki-10cbrs9bq5'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. It segments into 2 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://creepy-azure-aujgbltnki-10cbrs9bq5.edgeone.app/

Page Load Overview

2.59s
Total Load Time
2
HTTP Requests
1
Domains
7.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:572 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
53%
gambling betting
39%
cryptocurrency blockchain
39%
news media journalism
30%

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

T148C5D09031E6746603D552E2487B0202B33D6514340DC8ACFA7CEEEB6EADD86617BF79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:UImO9wcRIgUNxUMxHaMYL4d0xQXXImO9wcP1+UZwpXmd39WE:xxp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2641952:VIgIwIUREeQsE2CkAIqEYNgjAUxAGxYkCIcAlIi2pQHSwjXGDJOiQKOhw4FqIANRHEAUKiANHqoQgYAfAiDIUBfASCGcCMGw

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:787e667e7e3e3c3c
Perceptual Hash:c1e76b8cc91c32e6
Difference Hash:c8ccccd4d4fcf0c8
Wavelet Hash:707c667e7e1e1c08
Color Hash:#ac8e53

Other Hashes

Crop Resistant:c8ccccd4d4fcf0c8

Scan History

Scan history not available

Unable to load historical scan data