Security Scan Report: zealous-white-7rprqqdumz-s04ogk1qta.edgeone.app

Submitted: May 6, 2026, 5:49:59 AMCompleted: May 6, 2026, 5:51:07 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is zealous-white-7rprqqdumz-s04ogk1qta.edgeone.app and was registered NaN years ago.

Submitted URL: https://zealous-white-7rprqqdumz-s04ogk1qta.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

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

Risk Factors
Unknown subdomain age
Low domain reputation ranking
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware patterns
No credential exfiltration or suspicious network activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'zealous-white-7rprqqdumz-s04ogk1qta.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'zealous-white-7rprqqdumz-s04ogk1qta'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Word splitting yields 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://zealous-white-7rprqqdumz-s04ogk1qta.edgeone.app/

Page Load Overview

0.73s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:126 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
78%
cryptocurrency blockchain
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1806295C5EFF61ACCA41B84685FBE67362629A003D44D859C75AE0E709F44189B4FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBqhxhJ7hHhHh9h3hdh1RaXQl:KrzhNK/lMHmGgdkqtHP9djtzd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14884:YAYSWHUQrYMwvCSOAQWCgRUCqQUOjQwhFEAJgAAujCkcAIE4CaU2g4ASCY0IQoakiQy1QQk0TMxYJApIIBIHQToBPCcCBAMj

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:dcfcbcbc3c3c0000
Perceptual Hash:da98659a3861c767
Difference Hash:3030707070600000
Wavelet Hash:dcfcfcfcbc3c0000
Color Hash:#406cbf

Other Hashes

Crop Resistant:3030707070600000

Scan History

Scan history not available

Unable to load historical scan data