Security Scan Report: uns.id

Submitted: Jan 24, 2026, 9:20:12 AMCompleted: Jan 24, 2026, 9:21:39 AMpubliccompleted
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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: 95%

0
Risk Score

Legitimate disabled‑link page with no security threats.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment forms
No malware detected
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). Its registrable label 'uns' stretches across 3 characters holding one vowel versus 2 consonants. Tokenizing the label suggests 1 word: uns. Median word length is 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

10.96s
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
3103.23.225.70Indonesia
AS55684Universitas Sebelas Maret
3142.251.141.74United States
AS15169GOOGLE
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:#c5c187

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data