Security Scan Report: ikhlas-suster123.vip

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Submitted: Dec 6, 2025, 12:25:28 AMCompleted: Dec 6, 2025, 12:27:31 AMpubliccompleted
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Summary

This website contacted 36 IPs in 3 countries across 10 domains to perform 626 HTTP transactions. The main domain is ikhlas-suster123.vip and was registered NaN years ago.

Submitted URL: https://ikhlas-suster123.vip/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

New, unranked site collecting credentials – confirmed phishing scam.

Risk Factors
Critical‑age domain (<7 days) hosting credential‑harvesting forms
Presence of hidden and disguised password fields
Unicode character mixing to evade detection
Unranked/low‑reputation domain
Brand impersonation without legitimate ownership
Domain age information unavailable

Details

Page Title

SUSTER123 - Link Alternatif Suster 123 Anti Lag Gampang Menang

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social_media

(50%)

Domain Information

You're looking at domain 'ikhlas-suster123.vip' on the .vip top-level domain while skipping any subdomain. The registrable portion 'ikhlas-suster123' spans 16 characters split between 4 vowels and eight consonants; bonus characters include three digits and 1 hyphen. Breaking it apart gives 6 words: i, khl, as, s, uster, 123. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ikhlas-suster123.vip/

Page Load Overview

2.46s
Total Load Time
626
HTTP Requests
10
Domains
12.4 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:7,535 chars
Detector Agreement:80%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%
corporate
50%
forum
40%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
53045.192.223.63Mauritius
AS13335CLOUDFLARENET
3965.8.102.72United States
AS16509AMAZON-02
3123.50.131.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2852.222.232.141United States
AS16509AMAZON-02
1765.8.102.94United States
AS16509AMAZON-02
172.17.100.219Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1752.222.232.184United States
AS16509AMAZON-02
1752.222.232.47United States
AS16509AMAZON-02
1765.8.102.99United States
AS16509AMAZON-02
172.17.100.185Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
62636--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE6429225892343B2137B1D87CB56B45A6F14247C1278F08B2FC47966FE6E64AD03F9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:CCh2I1NKKKJYmlUlhK3R8J2+g1eT7G/9oge9ogPHEMz44:CpJYmlUlUBN+IGq4144

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:316177:EICkBShzdwGCClD2CBC0AMQ5pBYoqRhg7EFEAghhFRDEARRNgAqlKIMDARaEwAAIYwpLjZDTESgAiQNSxq4CAhKhrBcB+IAA

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:0c0020fbff390129
Perceptual Hash:8b5536aad98da293
Difference Hash:5844c9b2bbb34b69
Wavelet Hash:2c0034fbff7d012d
Color Hash:#40bf75

Other Hashes

Crop Resistant:5844c9b2bbb34b69

Scan History

Scan history not available

Unable to load historical scan data