Security Scan Report: 002friend-dpthkyxawwzv.edgeone.dev

Redirected to:
https://access.line.me/oauth2/v2.1/login?returnUri=%2Foauth2%2Fv2.1%2F...
Site favicon
Submitted: Aug 27, 2026, 10:18:56 PMCompleted: Aug 27, 2026, 10:20:05 PMpubliccompleted

Summary

This website contacted 5 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is access.line.me and was registered 11 years ago.

Submitted URL: https://002friend-dpthkyxawwzv.edgeone.dev/

Effective URL: https://access.line.me/oauth2/v2.1/login?returnUri=%2Foauth2%2Fv2.1%2Fauthorize%2Fconsent%3Fapp_id%3D2010126008-eYhRAQOE%26client_id%3D2010126008%26scope%3Dchat_message.write%2520openid%26state%3DaDGFVkZFL0mk%26response_type%3Dcode%26code_challenge_method%3DS256%26code_challenge%3DCWT8q1aTEfsbmXuSH7YmIm5o_YrdIeg8pGOqyydror8%26liff_sdk_version%3D2.22.3%26type%3DL%26redirect_uri%3Dhttps%253A%252F%252Fssseq.edgeone.dev%252F&loginChannelId=2010126008&loginState=ydzA9pfLoxPX8eumNvlYw9#/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page redirects to LINE's official login and shows no malicious indicators; it is legitimate.

Safety Factors
Official brand domain in final URL
Legitimate OAuth login flow
No malicious code or IDS alerts
Domain age information unavailable

Details

Page Title

แนะนำเพื่อนเข้ากลุ่มฟรี

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

technology software

(51%)

Domain Information

You're looking at domain '002friend-dpthkyxawwzv.edgeone.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain '002friend-dpthkyxawwzv'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. It segments into 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 002friend-dpthkyxawwzv.edgeone.dev

Page Load Overview

0.79s
Total Load Time
6
HTTP Requests
6
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
HTML Lang Attribute:en_US
Text Length:522 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
51%
social media network
40%
corporate business
31%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.246.29Singapore
13.174.46.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.174.46.68Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1104.119.185.219Chicago, Illinois, United States
AS16625Akamai Technologies, Inc.
12.19.126.217Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
65--

Page Statistics

6
Requests
4
Unique Domains
43.2 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191E06A6354C1C40CA150C3592C90F0444D4E9C687F23D4D05DC053CC4DC479E44D7C9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqSYUwfAbpljt1CapAAbIDN3U88FxQcbJAEdAqvj+60/UXzsVI:h+51A7RU88FT+4AqL+60cXzsVI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:16869e9c05d4f678c75630b14d69b952

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:ffe7e7e7e7e7ff7c
Perceptual Hash:f323cc8d7099d88d
Difference Hash:0008080c0c080080
Wavelet Hash:fec2c2c2c2c2e67c
Color Hash:#c52dd2

Other Hashes

Crop Resistant:0008080c0c080080

Scan History

Scan history not available

Unable to load historical scan data