Security Scan Report: expensive-apricot-7tumavpofq-3fico77fod.edgeone.app

Submitted: Nov 21, 2025, 3:58:26 AMCompleted: Nov 21, 2025, 4:00:27 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 2 domains to perform 4 HTTP transactions. The main domain is expensive-apricot-7tumavpofq-3fico77fod.edgeone.app.

Submitted URL: https://expensive-apricot-7tumavpofq-3fico77fod.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Site shows no malicious activity but has low reputation and unknown age.

Risk Factors
Low Cisco Umbrella ranking (455k) suggests limited reputation
Domain age not known, could be newly registered
Safety Factors
No password, email, or payment fields present
No external links or redirects
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Jambheshwar Education

Scan Type

public

Language

🇺🇸

English

(44% confidence)

Category

social media network

(47%)

Domain Information

Domain 'expensive-apricot-7tumavpofq-3fico77fod.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'expensive-apricot-7tumavpofq-3fico77fod'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://expensive-apricot-7tumavpofq-3fico77fod.edgeone.app/

Page Load Overview

0.21s
Total Load Time
4
HTTP Requests
2
Domains
64 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:44%
Script Type:Latin
HTML Lang Attribute:hi
Text Length:619 chars
Detector Agreement:67%
Language mismatch: Declared as hi but detected as en

Website Classification

Primary Category

social media network47% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
47%
education learning
44%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.186.163United States
AS15169GOOGLE
243.152.26.58Singapore
12a00:1450:4001:829::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140B4127225D7AF740B52E82752873F2D6CAF9E436C8467E4E1E5A483078CD81D43A5E3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:NT6IAujlI2YcnVpVCqz59GgAOULDt+toOwIy0J:NThjlIXWpVCqz5Ab9DEyOwIZJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:529725:06gICCQUmaqFMfUC0ABiKUBGQBjkQDQUMCZUCAlJGhaIkjIQYXMJoekBVAgI0AYEAGyUBMQowiZBGzJMKLd0CmDKJKEBwFqQ

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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