Security Scan Report: steep-blush-o2exfowcdc-zofvejw77i.edgeone.app

Submitted: Mar 20, 2026, 7:36:48 AMCompleted: Mar 20, 2026, 7:38:07 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 steep-blush-o2exfowcdc-zofvejw77i.edgeone.app and was registered NaN years ago.

Submitted URL: https://steep-blush-o2exfowcdc-zofvejw77i.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
Hosted on a known platform (edgeone.app)
No credential or payment collection fields
No suspicious JavaScript behavior
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

FORGE PWA v5006.1

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(55%)

Domain Information

Within the application-focused generic top-level domain (.app), 'steep-blush-o2exfowcdc-zofvejw77i.edgeone.app' is registered; it also runs on subdomain 'steep-blush-o2exfowcdc-zofvejw77i'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Segmentation suggests two 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://steep-blush-o2exfowcdc-zofvejw77i.edgeone.app/

Page Load Overview

0.85s
Total Load Time
2
HTTP Requests
1
Domains
6 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:137 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software55% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
55%
government public service
55%
documentation technical
51%
cryptocurrency blockchain
46%
news media journalism
30%

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

T134E1B70370B22190D2E791AA3AD7DB4E3931D50BE604CB64B95CECD08FDAD6488FB64D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TCumpTVeJfG9lMZc1A/J9JsxsjHPBJSxbPKfdCX/fCRBqg/ViPRTP22CvBG:4pTVelG9lMZ2A/XJsx2VC0R/c5TPBgBG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7128:ANEJChIkEiUNCEAEKSjDQCJAKCqEqs+QQAQYIALXBEAiyACAgchJUJEBYAiidUAhgUkBIoiiogimMxQkCAxDIpCBAxJUZoFB

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:00000006ffff0000
Perceptual Hash:c46e6e91b13b91cc
Difference Hash:19a4a48aa0a20180
Wavelet Hash:81f000ffffff8200
Color Hash:#e0bf6c

Scan History

Scan history not available

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