Security Scan Report: uns.id

Submitted: Jan 23, 2026, 5:49:38 PMCompleted: Jan 23, 2026, 5:51:05 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 7 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: 96%

0
Risk Score

No security concerns detected; the page appears safe.

Safety Factors
Well‑established domain (>3 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Page content is a standard disabled‑link message
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

The domain name 'uns.id' uses the Indonesian country-code top-level domain (.id) and has no subdomain. The registrable portion 'uns' spans 3 characters holding one vowel versus 2 consonants. Breaking it apart gives one word: uns. 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

9.43s
Total Load Time
7
HTTP Requests
2
Domains
N/A
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
474.125.29.95United States
AS15169GOOGLE
3103.23.225.70Indonesia
AS55684Universitas Sebelas Maret
72--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5C2E8A8B0D3E8A143571255545B090BB17CA93B704ED8E0FB98E8F56FB669E4023F3D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ftylp+tguI5gwtIPECwHWXW9dT5LuIoUhzJOQemC1ca7:e1kLsdRxNt6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26444:FMkYE2BBFAAQzAAAJCKDUgIKBcIgsCVxKAQVCIOIU1I1oggGBCgmcSIUNgIpMNYEwDhJsQIHQCiaMSSAgggAABgFEEhgJqQE

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:#d28579

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data