ScanMalware.com

Security Scan Report: interested-amber-zjfbqsa7z8-hl05fscri5.edgeone.app

Submitted: May 23, 2026, 4:46:30 PMCompleted: May 23, 2026, 4:48:24 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 3 HTTP transactions. The main domain is interested-amber-zjfbqsa7z8-hl05fscri5.edgeone.app and was registered NaN years ago.

Submitted URL: https://interested-amber-zjfbqsa7z8-hl05fscri5.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: 72%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Low Cisco Umbrella ranking (455,732)
Subdomain age unknown (potentially brand‑new)
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or external IoC links
No network IDS alerts or credential exfiltration detected
Domain age information unavailable

Details

Page Title

OWNER SOJIB VAI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Domain 'interested-amber-zjfbqsa7z8-hl05fscri5.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'interested-amber-zjfbqsa7z8-hl05fscri5'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Breaking it apart gives 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://interested-amber-zjfbqsa7z8-hl05fscri5.edgeone.app/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:846 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
38%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.67.128.109United States
AS13335Cloudflare, Inc.
0104.20.23.154United States
AS13335Cloudflare, Inc.
0101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
0108.181.20.43Los Angeles, California, United States
AS40676Psychz Networks
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1239244DF212708F8EC6BD91BF05AF78E34A08E43F64F509459BCA0D406E1C9794DAE5A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ExpAbPeVCYe6rh64bxureywE10JyoDp10SlJeig01lJvib0ytJsHMdHzZYUVuwgL:8KgCYZh649uCZ0sM44uXBFE7wVU41efO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19418:IDTCBQjp0ZhMEJFlAHAuB5SDhGiGCOhWDI1JBBBwABEGIWHUsooAySD0kCMAMRwQzGCeUEwWVkBqhBMQ0KtADQACyRLpHC4o

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:1818181818181818
Perceptual Hash:dcfffa05080188fd
Difference Hash:323232b2b2b2b2b3
Wavelet Hash:d8d8d81818187dff
Color Hash:#87c599

Other Hashes

Crop Resistant:0836364000000000,c989816101010101,4040404040414043

Scan History

Scan history not available

Unable to load historical scan data