Security Scan Report: uns.id

Submitted: Jan 21, 2026, 5:11:58 AMCompleted: Jan 21, 2026, 5:13:25 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 8 HTTP transactions. The main domain is uns.id and was registered NaN years ago.

Submitted URL: https://uns.id/4v0v?ref_=pe_147TIeyvpfrHKjKFugik951020_11918OOMV0SaDHnKBqXZik56020

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age > 1 year (well established)
No forms or input fields present
Page displays a standard link disabled message
No external redirects or suspicious content
Domain age information unavailable

Details

Page Title

Link Disabled - UNS.id - UNS.id

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

You're looking at domain 'uns.id' on the Indonesian country-code top-level domain (.id) with no subdomain. Its registrable label 'uns' stretches across 3 characters containing 1 vowel alongside two consonants. Breaking it apart gives 1 word: uns. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uns.id/4v0v?ref_=pe_147TIeyvpfrHKjKFugik951020_11918OOMV0SaDHnKBqXZik56020

Page Load Overview

10.36s
Total Load Time
8
HTTP Requests
2
Domains
0 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:236 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service59% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
59%
adult content
28%
documentation technical
27%
social media network
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.140.170United States
AS15169GOOGLE
4103.23.225.70Indonesia
AS55684Universitas Sebelas Maret
82--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E7B2E9A8B0D2E86103571265546B480BB27DA53B704ED8E0F798E8F56FB668E4063F3D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ftylX+tguI5gwtIPECwHWXW9dT5LuIoUhzJOQemC1caW:i1kLsdRxNtj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25353:AxCGCQCQGEQAZSEQRGQAooBsBjFAkFeEZkCBYBEKwMg6EAFCOWo0skTAAIJEjkBAG1lEsYilbw0gDAMxIiAqUNKAaAHIAEQJ

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:ffffe7e7e7e7ffff
Perceptual Hash:e626999966669999
Difference Hash:0000080c0c080000
Wavelet Hash:3f3f272724243c3c
Color Hash:#d22d61

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data