Security Scan Report: general-apricot-htjtlotctm-isks15qioc.edgeone.app

Submitted: Apr 11, 2026, 5:49:53 PMCompleted: Apr 11, 2026, 5:51:12 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is general-apricot-htjtlotctm-isks15qioc.edgeone.app and was registered NaN years ago.

Submitted URL: https://general-apricot-htjtlotctm-isks15qioc.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: 72%

4
Risk Score

No malicious activity observed, but the unknown age of the subdomain on a low‑rank hosting platform suggests moderate risk.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking
Safety Factors
No malicious JavaScript or YARA matches
No network IDS alerts
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Bulk iOS Ultra Real

Scan Type

public

Language

🇩🇪

German

(29% confidence)

Category

technology software

(83%)

Domain Information

Within the application-focused generic top-level domain (.app), 'general-apricot-htjtlotctm-isks15qioc.edgeone.app' is registered with subdomain 'general-apricot-htjtlotctm-isks15qioc'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Word splitting yields 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://general-apricot-htjtlotctm-isks15qioc.edgeone.app/

Page Load Overview

0.78s
Total Load Time
4
HTTP Requests
2
Domains
61 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:id
Text Length:58 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as de

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
adult content
56%
news media journalism
53%
documentation technical
51%
cryptocurrency blockchain
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2151.101.129.229United States
243.152.26.58Singapore
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150F164621A730826A067C0496FEB838D217CD00BD91BC61CBB1C7799DF85CCAD5E2B85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:cPQPujj/AzpVB+47LkLALUnLOwLOLgLHjz/TnBRIhAVyQBubXMJFrPk:cPQPujQNg7PIhpQBubXMJFY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7745:iII6EgUADEhl5GnwAQHJAcEAkcCQKVBLAUkw0cQDCAJA0JhBhAAcUScCwAlhIDxAAAYU0kIAQBAFcQcZICAQy0jD4AsCkkOC

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:dfa5e7ffffffffff
Perceptual Hash:b33399999999989c
Difference Hash:b24d4c3000000000
Wavelet Hash:ffe7ffff00000000
Color Hash:#79d29b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data