Security Scan Report: damp-white-ffwxelubkj-5q3ss03ghz.edgeone.app

Submitted: Mar 25, 2026, 4:09:44 AMCompleted: Mar 25, 2026, 4:11:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is damp-white-ffwxelubkj-5q3ss03ghz.edgeone.app and was registered NaN years ago.

Submitted URL: https://damp-white-ffwxelubkj-5q3ss03ghz.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: 82%

2
Risk Score

No malicious indicators detected; low risk, likely a legitimate circuit‑simulator site.

Risk Factors
Right‑click blocking via JavaScript
Anti‑analysis script detected
New subdomain on edgeone.app with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Low JavaScript obfuscation score (standard minification)
No network IDS alerts
Served over HTTPS (secure transport)
Domain age information unavailable

Details

Page Title

Ultimate Circuit Simulator & EDA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(51%)

Domain Information

Domain 'damp-white-ffwxelubkj-5q3ss03ghz.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'damp-white-ffwxelubkj-5q3ss03ghz'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. It segments into two 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://damp-white-ffwxelubkj-5q3ss03ghz.edgeone.app/

Page Load Overview

0.40s
Total Load Time
2
HTTP Requests
1
Domains
48 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:1,570 chars
Detector Agreement:33%

Website Classification

Primary Category

documentation technical51% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
51%
technology software
45%

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

T144D3A6E59BEE122E102391D5CFE7558532B8612B5A06DD387D4C0AE04F4FF35CBA3A98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LdDWloPvRPBvGLmDEOiz2X7vF0RDoDO61373ts:EloPvRNGLRRHEL3ts

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134147:AMQMLgwIIAAIFAJEQoi2pGCzIEFlicgEAlcigKXxAgA8EUSROACEIYC0wOMlHJOhVJcUABUk9AKImUwMAKCAJAkQiAQQZUnB

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:ffff0000000000ff
Perceptual Hash:d9c8c9c9c949c95d
Difference Hash:2294000052000200
Wavelet Hash:ffff00fc000003ff
Color Hash:#211f93

Other Hashes

Crop Resistant:2294000052000200

Scan History

Scan history not available

Unable to load historical scan data