Security Scan Report: appalling-apricot-sjtqaznodc-cdivx29g64.edgeone.app

Submitted: Feb 19, 2026, 9:50:07 PMCompleted: Feb 19, 2026, 9:51:31 PMpubliccompleted
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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 appalling-apricot-sjtqaznodc-cdivx29g64.edgeone.app and was registered NaN years ago.

Submitted URL: https://appalling-apricot-sjtqaznodc-cdivx29g64.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: 92%

0
Risk Score

Site appears legitimate with no detected security threats.

Safety Factors
Well‑established domain (> 2 years old)
Low Cisco Umbrella ranking but no malicious activity observed
No external links or redirects
No credential or payment collection mechanisms
Domain age information unavailable

Details

Page Title

appalling-apricot-sjtqaznodc-cdivx29g64.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'appalling-apricot-sjtqaznodc-cdivx29g64.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'appalling-apricot-sjtqaznodc-cdivx29g64'. The second-level label 'edgeone' is 7 characters long split between four vowels and 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://appalling-apricot-sjtqaznodc-cdivx29g64.edgeone.app/

Page Load Overview

3.72s
Total Load Time
6
HTTP Requests
3
Domains
45 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
Text Length:475 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
61--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszi2bMy8Old2:KhoC9JSqzzbs6o3Sj3gcrsO2eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:MBgoWgBMYKwW4HoEtAwiYiMzEBjoFrJygKBIgHASYUYoODUAABgYgWAJiCoQMAAjBAcCFiwVXmAwUKQAiMAIKIAlgGgJRBRG

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#d2532d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data