Security Scan Report: yangguang.my.id

Redirected to:
https://yangguang.my.id/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 3 countries across 4 domains to perform 26 HTTP transactions. The main domain is yangguang.my.id and was registered 10 months ago.

Submitted URL: http://yangguang.my.id/

Effective URL:
https://yangguang.my.id/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating Telegram on a brand‑new, unranked domain.

Risk Factors (4)
Brand impersonation of Telegram on unrelated domain
Domain age only 2 days (critical risk)
Unranked, low‑reputation domain
Page displays Telegram login instructions without legitimate Telegram URL
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Domain Name Analysis

The domain 'yangguang.my.id' uses the Indonesian country-code top-level domain (.my.id) without a subdomain. The registrable portion 'yangguang' spans 9 characters containing 3 vowels alongside six consonants. It segments into 2 words: yang, guang. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://yangguang.my.id/

Page Load Overview

2.96s
Total Load Time
564 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:218 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network53% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
53%
technology software
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.67.74.152United States
AS13335CLOUDFLARENET
8149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
847.79.252.168Singapore
AS45102Alibaba US Technology Co., Ltd.
263--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118F16052E724E83A2353067D34E1F10E46E2E447E7C1AA10B9A972E20F8FDF680E7255

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ujtVoUZZUG7Lt103pYSMCcGyqW75QhE58h:KtVGs303pcCcGyHmd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7984:MACqARAMxIMgCAjwGm3DjIIQy6UwpSgUCBEwiEQwLCgBqiEHHgGwBYCBQWQnkJ4HCC5oG8pFOGAEVAEwGAgGQRAQSD2KBjkH

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:ffffffefffe3c3c7
Perceptual Hash:b0cf30cc9b669b8c
Difference Hash:0000080800060e1c
Wavelet Hash:fcfce4e4fcc0c0c0
Color Hash:#931f2d

Other Hashes

Crop Resistant:0000080800060e1c

Scan History

Scan history not available

Unable to load historical scan data