Security Scan Report: register.apl-id.com

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 2 domains to perform 13 HTTP transactions. The main domain is apl-id.com and was registered 1 year 9 months ago.

Submitted URL: http://register.apl-id.com/app1/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake 'status check' funnel on a non-Telegram domain that walks victims through entering their phone number, Telegram one-time code and Two-Step Verification password — a textbook Telegram account-takeover phishing page.

Risk Factors (6)
Brand impersonation: presents itself as a Telegram verification step on a non-Telegram domain
Collects one-time codes and a Two-Step Verification password — direct account-takeover material
Multi-step funnel (name/phone → OTP → 2FA password) typical of phishing kits
Fabricated live registration feed used as social proof
Concealed form handling via javascript:void(0) instead of a declared endpoint
Unranked domain with no legitimate organisational legitimacy signals (score 15/100)
Domain age information unavailable

Details

Page Title

Register

Scan Type

public

Domain Name Analysis

Domain 'register.apl-id.com' uses the commercial generic top-level domain (.com) with subdomain 'register'. The core label 'apl-id' covers 6 characters split between two vowels and 3 consonants, plus one hyphen. It segments into two words: apl, id. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

LENGKAPI DATA Pastikan maklumat anda lengkap, tepat dan terkini @ PERCUMA Semakan Status Isi borang di bawah dengan betul untuk mendapatkan maklumat lanjut mengenai permohonan anda. Maklumat pemo...

Page Load Overview

1.43s
Total Load Time
269 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:12,007 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

adult content40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
40%
healthcare medical
37%
social media network
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
133--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141E3A56940F2947B8097A1D1BAA14B376FE0EA17C95B5A8133BC1BD80FB7D85ED1720C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:0j2AC0wQzkCVIIIIndHkRC8bESuxek1+H:M2AC09kIIIIIcbEEe4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148767:ah/gYQ0ihAhWAICQAQUhAQi1gtIChRAYLAAcFNoCXoSGIe4OSzyIOLBYjKghQkIAYQIuRgAGVtB0wMFKBAExpIABIQNLcCIA

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:c6c2c7efffe7e7ff
Perceptual Hash:f3642632999b3399
Difference Hash:8c445cda124c4c5a
Wavelet Hash:000000eeeee7efef
Color Hash:N/A

Other Hashes

Crop Resistant:8c445cda124c4c5a

Scan History

Scan history not available

Unable to load historical scan data