Security Scan Report: stampperfgauge-mw0pqxiymv.edgeone.app

Submitted: Mar 30, 2026, 7:36:24 PMCompleted: Mar 30, 2026, 7:37:31 PMpubliccompleted
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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 stampperfgauge-mw0pqxiymv.edgeone.app and was registered NaN years ago.

Submitted URL: https://stampperfgauge-mw0pqxiymv.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: 88%

2
Risk Score

No malicious activity detected; low risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (outside top 100k)
Safety Factors
No forms detected on the page
No JavaScript malware patterns identified
No cross‑origin credential exfiltration observed
HTTPS connection (secure transport)
No redirects or suspicious network alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

documentation technical

(28%)

Domain Information

Within the application-focused generic top-level domain (.app), 'stampperfgauge-mw0pqxiymv.edgeone.app' is registered and includes subdomain 'stampperfgauge-mw0pqxiymv'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stampperfgauge-mw0pqxiymv.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:76 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%
news media journalism
26%

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

T19912D8CAEBE306C9681BC0682FFF5325222DE053D449C95CB99E0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBobhZuh1RaXQl:KrzhNK/lMHmGgdkqfbjud

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9590:JAUC1nACBQMwNBWUAUeIhBEqCICEDQZRMFAJIBhKiHEQBYE4IMQ00xHQCYcGANbEgzicVQImSUhaDKjBCAoGSCoCOCeGEBEj

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a983c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#2d5986

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data