Security Scan Report: selfdigital-f29xz0qbcm.edgeone.dev

Submitted: Apr 14, 2026, 8:44:57 PMCompleted: Apr 14, 2026, 8:46:08 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates Google/GitHub on a newly created, unranked subdomain with heavily obfuscated JavaScript, indicating high‑risk brand phishing.

Risk Factors (3)
Unranked domain impersonating major brands (typosquatting)
Unknown subdomain age on a hosting platform
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

My Google AI Studio App

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'selfdigital-f29xz0qbcm.edgeone.dev' is registered with subdomain 'selfdigital-f29xz0qbcm'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. It segments into 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://selfdigital-f29xz0qbcm.edgeone.dev/

Page Load Overview

1.70s
Total Load Time
170 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:576 chars
Detector Agreement:67%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
adult content
50%
phishing scam
45%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
AS54113Fastly, Inc.
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.26.5.30Germany
AS13335Cloudflare, Inc.
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13672C6712259193E57038BECE7E0B736516E43D9D90F841CF27D02A1A787DA4EC6B2A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:U/lya7DIRyGEGQ9kypawIR8IcPPIa3lBJwEf/Ec/EX/EeNvpGOIRy+Ra2bEPwRap:Ux9kyp7Pd3wAFuPxpEgz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17429:UraQkIxJRgAINWZKAoCAFYoOxJaEIQVFKThIgSSG2QDA4CCLEBOhsxwBQGABjgQEXBANvACA0bRtOWEVkw4AFEsItEQAEAuA

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:00e1e3ff9f9fffff
Perceptual Hash:bc63431c1c433e3f
Difference Hash:b44b4b303433c024
Wavelet Hash:00e0e0fe8e80ffb7
Color Hash:#e06cc3

Other Hashes

Crop Resistant:b44b4b303433c024

Scan History

Scan history not available

Unable to load historical scan data