Security Scan Report: exciting-apricot-z2ged1qq-dpe4hh1866x0.edgeone.app

Site favicon
Submitted: Jun 26, 2026, 11:29:01 PMCompleted: Jun 26, 2026, 11:30:17 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is exciting-apricot-z2ged1qq-dpe4hh1866x0.edgeone.app and was registered NaN years ago.

Submitted URL: https://exciting-apricot-z2ged1qq-dpe4hh1866x0.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

No malicious activity detected; low risk due to unknown subdomain age.

Risk Factors
Domain age unknown (subdomain could be newly created)
Domain is unranked in Cisco Umbrella
Safety Factors
No malicious indicators (IoC, YARA, IDS alerts)
Low JavaScript obfuscation score (standard minification)
No external links or cross‑origin network calls
Domain age information unavailable

Details

Page Title

Mayankk08AI | Analytical Hub v10.0

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'exciting-apricot-z2ged1qq-dpe4hh1866x0.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'exciting-apricot-z2ged1qq-dpe4hh1866x0'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. It segments into 2 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://exciting-apricot-z2ged1qq-dpe4hh1866x0.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
3 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:255 chars
Detector Agreement:67%

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
2101.33.10.10Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15081D9AB20FA123153D750B632E3D78AB535D103F245D870BC4C6A508F41F9594FBA6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T1Bn5kb2pHXcJrDLALLI9OkFt0a9e8e1SIzQy:hB5kypHXcJrRBe2U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4138:XBA4AgCABBAAQQIEmIVhsUBBQVAEGAAAQAAAgkxQEEQAACACAABEAAEoYAQFAAJFIAAAYAAGgDkhYIAAAAghAIICACAL+WIA

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:e0f8f80000000000
Perceptual Hash:c9c9e3323233e3c9
Difference Hash:4c52520c00000000
Wavelet Hash:fcfcfcfc00000000
Color Hash:#87c5b5

Other Hashes

Crop Resistant:4c52520c00000000

Scan History

Scan history not available

Unable to load historical scan data