Security Scan Report: tiktok-indonesia.netlify.app

Redirected to:
https://tiktok-indonesia.netlify.app/
Submitted: Jul 27, 2026, 1:45:03 PMCompleted: Jul 27, 2026, 1:46:11 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is tiktok-indonesia.netlify.app and was registered NaN years ago.

Submitted URL: http://tiktok-indonesia.netlify.app/

Effective URL: https://tiktok-indonesia.netlify.app/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site impersonates TikTok on an unranked Netlify subdomain without collecting credentials; treat as moderate risk.

Risk Factors
Brand impersonation on a hosting‑platform subdomain
Unranked / low‑reputation domain
Unknown subdomain creation date
Safety Factors
No forms collecting credentials or payments
No JavaScript malware matches
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Pencairan Limit

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(53%)

Domain Information

The domain name 'tiktok-indonesia.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'tiktok-indonesia'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. Segmentation suggests three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://tiktok-indonesia.netlify.app/

Page Load Overview

0.90s
Total Load Time
4
HTTP Requests
2
Domains
12 KB
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:1,604 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking53% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
53%
healthcare medical
29%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
245.43.142.8United Kingdom
AS16276OVH SAS
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111D2631536F288B195E744D917BA092958B84303A401DA98BF4CEBF34FB2D5CC777798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:kkzBlRk8cswyAgjnYYSGKYZ5Gcswy1grUa++EmD/jB+k:kkzBlSs5i+Ua++EmDp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28328:CCgiD+aYmuAIkzAIKQECzIBElwIv0yIMcUoAC2CDACiAprbGgBmlgE5BC0CglGiXKMAQiycyDABAzBvIATeBAaZhFkICgIAR

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:ff0000ffffffffff
Perceptual Hash:a6228999d4f67659
Difference Hash:00d10d0c00000000
Wavelet Hash:4e0000c30f0f0f0f
Color Hash:#87b7c5

Other Hashes

Crop Resistant:00d10d0c00000000

Scan History

Scan history not available

Unable to load historical scan data