Security Scan Report: api-sia.ut.ac.id

Submitted: Feb 2, 2026, 3:02:23 AMCompleted: Feb 2, 2026, 3:04:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is api-sia.ut.ac.id and was registered NaN years ago.

Submitted URL: https://api-sia.ut.ac.id

The Cisco Umbrella rank of the primary domain is #93,630 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate site with no detected security risks.

Safety Factors
Well‑established domain with long registration history
High Cisco Umbrella ranking indicating reputable site
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Standard error response from API gateway
Domain age information unavailable

Details

Page Title

Kong Error

Scan Type

public

Language

🇺🇸

English

(63% confidence)

Category

cryptocurrency blockchain

(53%)

Domain Information

The domain 'api-sia.ut.ac.id' uses the Indonesian country-code top-level domain (.ac.id); it also runs on subdomain 'api-sia'. Its registrable label 'ut' stretches across 2 characters split between one vowel and 1 consonant. Word splitting yields 1 word: ut. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api-sia.ut.ac.id

Page Load Overview

2.26s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:63%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:63%
Script Type:Latin
Text Length:57 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain53% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
53%
healthcare medical
51%
adult content
49%
technology software
48%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.247.253.223Singapore, Singapore
AS8075Microsoft Corporation
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDC080DAE3F11012997462844DD975941DCFED97279385057581602DCFC9177CD472FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxWYkiWEwoaAEdpsy0rChrKrZKxv8HKqz:hax/ZwHAEdxJQ0vU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:0d332aa56cc06a9e3420c0aa9fa90119

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:3fffffffffffffff
Perceptual Hash:83030303070fffff
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#2d4f86

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data