Security Scan Report: uir.ac.id

Submitted: Nov 12, 2025, 11:42:44 PMCompleted: Nov 12, 2025, 11:43:50 PMpubliccompleted
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Summary

This website contacted 10 IPs in 0 countries across 2 domains to perform 14 HTTP transactions. The main domain is uir.ac.id and was registered NaN years ago.

Submitted URL: https://uir.ac.id/uir-dan-polsek-bukit-raya-teken-perpanjangan-pks-dengan-polsek-bukit-raya/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age (over 16 years)
No malicious Indicators of Compromise
No suspicious forms or content
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

The domain 'uir.ac.id' uses the Indonesian country-code top-level domain (.ac.id) and has no subdomain. The second-level label 'uir' is 3 characters long split between 2 vowels and one consonant. Segmentation suggests two words: u, ir. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uir.ac.id/uir-dan-polsek-bukit-raya-teken-perpanjangan-pks-dengan-polsek-bukit-raya/

Page Load Overview

16.87s
Total Load Time
14
HTTP Requests
2
Domains
6 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-US
Text Length:321 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.18.95.41UnknownUnknown
1104.26.11.4UnknownUnknown
1104.26.10.4UnknownUnknown
1104.18.94.41UnknownUnknown
1172.67.72.100UnknownUnknown
12606:4700:20::681a:b04UnknownUnknown
12606:4700:20::681a:a04UnknownUnknown
12606:4700::6812:5e29UnknownUnknown
12606:4700::6812:5f29UnknownUnknown
12606:4700:20::ac43:4864UnknownUnknown
1410--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196824B379506102F71674FE76169F6544121E288E702E3ABF0B39E48DBC9E5F17A23AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Va+ie9yIPl2boVmJkEqxnBrJILvP2Ni44M8CHoelyyTvXf:U+iecq4brJkxeQidMRHoel9v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18425:OCpQEDAExiJFihAfAQFJCk1GySYIBFoW1xShAlS2geJoYigPEUooNiGEoY44IYhLBgCeIIAx4HBUoCBqCAxMCpBEOmICExGa

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:dfc7c7c3ffffffe7
Perceptual Hash:b03882cfc7cdc3c3
Difference Hash:301c14160000000c
Wavelet Hash:3c000c00fcfcfcc0
Color Hash:#ac8153

Other Hashes

Crop Resistant:301c14160000000c

Scan History

Scan history not available

Unable to load historical scan data