Security Scan Report: uns.id

Submitted: Jan 22, 2026, 10:06:12 AMCompleted: Jan 22, 2026, 10:07:44 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is uns.id and was registered NaN years ago.

Submitted URL: https://uns.id/4v0v

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a harmless disabled‑link notice with no malicious indicators.

Safety Factors
Well‑established domain (over 3 years old)
Page displays a standard link‑disabled notice
No credential or payment collection fields
No external links or redirects
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

Within the Indonesian country-code top-level domain (.id), 'uns.id' is registered and has no subdomain. The registrable portion 'uns' spans 3 characters holding one vowel versus two consonants. It segments into 1 word: uns. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uns.id/4v0v

Page Load Overview

11.82s
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
4142.250.184.202United 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

T10DC2E9A8B0D2E86103571255546B090BB17DA93B704ED8E0FB98E8F56FB768E4027F3D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ztylj+tguI5gwtIPECwHWXW9dT5LuIoUhzJOQemC1caF:G1kLsdRxNte

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26141:4gGAAWIRtgOBAxMLCTMf0MBJESRMBCfIIrYkAqxLQxgIsrERABZQAgBhcSmElQcJmQKmgG8URoQTIADGIEwHIkciJlJPMKCA

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:0f0f070723233f3f
Color Hash:#5740bf

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data