Security Scan Report: secondary-coffee-uqeqwajr8m-stj3uq67b8.edgeone.app

Submitted: Apr 11, 2026, 5:27:24 PMCompleted: Apr 11, 2026, 5:28:44 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is secondary-coffee-uqeqwajr8m-stj3uq67b8.edgeone.app and was registered NaN years ago.

Submitted URL: https://secondary-coffee-uqeqwajr8m-stj3uq67b8.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: 75%

5
Risk Score

The site pretends to be the official CBSE app but is a fresh subdomain on edgeone.app with no credential collection, yielding moderate risk.

Risk Factors
Brand impersonation claim on low‑ranked domain
Unknown subdomain age on a hosting platform
Use of a reputable brand name (CBSE) without official domain
Safety Factors
No forms collecting credentials or payments
No JavaScript malware patterns or credential exfiltration
No network IDS alerts
Domain age information unavailable

Details

Page Title

CBSE Official App Clone

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(63%)

Domain Information

The domain 'secondary-coffee-uqeqwajr8m-stj3uq67b8.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'secondary-coffee-uqeqwajr8m-stj3uq67b8'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Breaking it apart gives 2 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://secondary-coffee-uqeqwajr8m-stj3uq67b8.edgeone.app/

Page Load Overview

0.55s
Total Load Time
7
HTTP Requests
2
Domains
107 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:1,136 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning63% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
63%
adult content
31%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4185.15.59.240United States
AS14907Wikimedia Foundation Inc.
343.152.26.58Singapore
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8736B679EA73D224B4258022BEE5BD71A2CD30B69C384DA394DC788CF5A56445F33EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DmNFmD/lXl6Gl96WQ7wrdsmICJ2FMHi82vSe:6mZ16qoxdCJ2FMre

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76619:BiqAKHg9HCwhMEABhAQATALNAtyDACRJNqB4kREgQjoiWQRKIKkJNaCAFMQSBBQ4AQwIki6JCwz8BFNSOntYQkIAAgkJAJgE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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