Security Scan Report: traditional-violet-gzelm9rw.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 6 domains to perform 10 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://traditional-violet-gzelm9rw.edgeone.dev/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake NAVER login on a free edgeone.dev subdomain that collects email/password and ships them via an embedded Telegram bot token. Classic credential phishing — do not enter credentials.

Risk Factors (5)
Brand impersonation of NAVER on a domain that does not belong to NAVER
Email + password login form harvesting credentials for a third-party brand
Telegram bot token embedded in page script — ready-made credential exfiltration channel
Single-source phishing threat-intel match on the primary domain
Free instant-subdomain hosting platform with unknown, potentially minutes-old page age
Domain age information unavailable

Details

Page Title

네이버 로그인

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'traditional-violet-gzelm9rw.edgeone.dev' is registered with subdomain 'traditional-violet-gzelm9rw'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://traditional-violet-gzelm9rw.edgeone.dev/

Page Load Overview

1.58s
Total Load Time
86 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Text Length:42 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1199.232.196.193Fastly · CDNUnited States
AS54113Fastly, Inc.
1146.75.120.193Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1199.232.192.193Fastly · CDNUnited States
AS54113Fastly, Inc.
109--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CA2982A4CE208802203757833EB2643A7768957150BEC467A5D37BDEFC6D648F32B9D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:HRcTD21YSdDAI/tqFR5E7hJ5F7OmebS6wam+Ja:xDVDH/tqFghlOm8waNg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22959:EIAAHIDKZlDEWxoyDiDkK3hpggbpEJhABU4AIABDgoQqEYIE4wKeIEYAQRYOyEHaABR5mwACAmEAAygAAG0AkLc2phxQQEb4

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:ffe7e7e7ffffffff
Perceptual Hash:b333cccc66239999
Difference Hash:000c0c4d0c000000
Wavelet Hash:2f272727041c0c0c
Color Hash:#40acbf

Other Hashes

Crop Resistant:000c0c4d0c000000

Scan History

Scan history not available

Unable to load historical scan data