ScanMalware.com

Security Scan Report: appalling-apricot-p5i2vkezbg-xcibf724e8.edgeone.app

Submitted: Mar 29, 2026, 8:27:10 PMCompleted: Mar 29, 2026, 8:28:29 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is appalling-apricot-p5i2vkezbg-xcibf724e8.edgeone.app and was registered NaN years ago.

Submitted URL: https://appalling-apricot-p5i2vkezbg-xcibf724e8.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

No suspicious activity detected; the site appears to be legitimate educational content.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform with no red‑flag behavior
Domain age information unavailable

Details

Page Title

english unit 7

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

adult content

(48%)

Domain Information

Within the application-focused generic top-level domain (.app), 'appalling-apricot-p5i2vkezbg-xcibf724e8.edgeone.app' is registered, featuring subdomain 'appalling-apricot-p5i2vkezbg-xcibf724e8'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appalling-apricot-p5i2vkezbg-xcibf724e8.edgeone.app/

Page Load Overview

1.22s
Total Load Time
3
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:1,495 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content48% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
48%
government public service
44%
education learning
44%
news media journalism
43%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1304131B5D5462733CBC1320619DFB3EC6B0AE015DB514A270AB0840CF9A6769D333B9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:fRWznJghIFdR4O6yREYRx2zRRRCFqCYsOqx3CV15w8zjOKi9IYq8pIikeqxl:fRGyub6yyYsf5ZGSwAjOKi9Xq8pIYGl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2270:AAEAABgAAAAAAgACCAAAiAAACEECQACAAEiADAADQAgUgAAAAIhCACAABwEAAdCQIhACgAAAAAAAgAAgAAAAAAQAABAAABAB

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:7f3f3f7f7f3f3f3f
Perceptual Hash:80f13fe0b8e0fec1
Difference Hash:80c0e0c0c0e0c0e0
Wavelet Hash:4e0e0e0e3e1e3e1e
Color Hash:#8dc587

Other Hashes

Crop Resistant:80c0e0c0c0e0c0e0

Scan History

Scan history not available

Unable to load historical scan data