Security Scan Report: apkmontoksuster123.com

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Submitted: Oct 29, 2025, 10:35:37 AMCompleted: Oct 29, 2025, 10:38:39 AMpubliccompleted
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Summary

This website contacted 38 IPs in 2 countries across 9 domains to perform 517 HTTP transactions. The main domain is apkmontoksuster123.com and was registered NaN years ago.

Submitted URL: https://apkmontoksuster123.com/desktop/game/fishing/fastspin

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

New, unranked site harvesting credentials and impersonating Telegram – confirmed phishing scam.

Risk Factors
Newly registered domain (<7 days) with credential‑harvesting forms
Disguised password fields (type='text' with password placeholder)
Hidden password fields in HTML
Unicode characters used to obfuscate form fields
Brand impersonation/typosquatting of a well‑known service (Telegram) on an unranked domain
Domain age information unavailable

Details

Page Title

SUSTER123 - Link Alternatif Suster 123 Anti Lag Gampang Menang

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

corporate

(50%)

Domain Information

Within the commercial generic top-level domain (.com), 'apkmontoksuster123.com' is registered and has no subdomain. The registrable portion 'apkmontoksuster123' spans 18 characters holding five vowels versus 10 consonants, along with three digits. Tokenizing the label suggests seven words: ap, km, on, to, ks, uster, 123. The median word length lands at 2 characters. 'ap' most often appears in Estonian. It also appears in Slovak and Czech contexts. Taken together, it feels Estonian with character flair.

Screenshot

Security scan screenshot of https://apkmontoksuster123.com/desktop/game/fishing/fastspin

Page Load Overview

3.33s
Total Load Time
517
HTTP Requests
9
Domains
6.3 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:6,771 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate50% confidence
Type: webapp
Method: structural

All Detected Categories

corporate
50%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
485172.67.175.134United States
AS13335CLOUDFLARENET
172.16.1.185Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.17.100.232Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.17.100.179Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.16.1.171Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.17.100.249Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.16.1.243Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.17.100.177Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
132.16.1.235Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13143.204.102.94United States
AS16509AMAZON-02
51738--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T119342B125446343B3537B198BCF57B4495F10287C2278F08B2FC46A6AFE6E686913EDE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CCjI1NKKVJYay2lwCo5DHJmlBvGlWyZcKSQ45T89/Rr9/RGv8wYG:CCjI1NKKVJYaymzCp45Y9/Rr9/RvbG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:246442:CphSgoUDGgVCMSEADERUZAhRIABaIqL+EGBCJpKI+6iKJAdYhjgYQgKisgCOEYrCBAWLgL0TgAQwJQQLBSRKlEBCAZipuJgg

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:2c10183d3d190101
Perceptual Hash:8ad574aad39b98a8
Difference Hash:49f1f1f969737369
Wavelet Hash:2d387d7f3d191901
Color Hash:#40bfae

Scan History

Scan history not available

Unable to load historical scan data