Security Scan Report: siakad.tech

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Submitted: Completed: publiccompleted
This website contacted 25 IPs in 2 countries across 15 domains to perform 102 HTTP transactions. The main domain is siakad.tech and was registered 5 years ago.

Submitted URL: https://siakad.tech

The Cisco Umbrella rank of the primary domain is #903,870 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 76%

2
Risk Score

Established Indonesian campus-software vendor marketing its own SIAKAD 4.0 product; no credential/payment forms, no impersonation, no threat-intel, YARA or IDS hits. Only mild concern is a chain of redirects.

Risk Factors (2)
Eight chained cross-domain redirects before reaching the final page, which is a weak/ambiguous infrastructure signal
Low third-party legitimacy score (38/100) and a niche Umbrella ranking (not used as evidence of wrongdoing)
Safety Factors (4)
Established domain registered 2021 with no reputation or malware history in any feed
Page collects only business lead data (name, institution, role, phone, demo scheduling), not credentials or payment details
Content is coherent Indonesian-language SaaS marketing for an academic management system, with named partner campuses
Cross-origin submission goes to the vendor's own registered domain (suteki.co.id), not a third party
Domain age information unavailable

Details

Page Title

SIAKAD 4.0 - Transformasi Digital Perguruan Tinggi

Scan Type

public

Domain Name Analysis

The domain 'siakad.tech' uses the .tech top-level domain without a subdomain. The second-level label 'siakad' is 6 characters long holding three vowels versus 3 consonants. Splitting it apart reveals 2 words: sia, kad. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://siakad.tech

Page Load Overview

13.19s
Total Load Time
4.6 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:id
Text Length:18,336 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6157.245.50.187Singapore, Singapore
AS14061DigitalOcean, LLC
4172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
4104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.94Google · CDNUnited States
AS15169Google LLC
4142.251.13.113Google · CDNUnited States
AS15169Google LLC
4142.251.20.132Google · CDNUnited States
AS15169Google LLC
4104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.13.102Google · CDNUnited States
AS15169Google LLC
4142.251.13.100Google · CDNUnited States
AS15169Google LLC
10225--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD64E82113F6047E245387E4F7A1BB2EA529D2C7DE1B816CB6AC01B16FC3DA5CD9B250

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GkfhEVPjxeyh//yzBd17eACIaK+0ypvAecCYXof3lAQ:GkfhEVPjgyh//G1jaK+0ypj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:324522:IIwCyGBFIgVSGEkgPYsYFoYAAsVICQgwSIiAAiYgAmiiRIAaZgSCPRNIWQ1hAISjwANVEBQMkAEIB5DDiEIKvRCQQFoWUAwO

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:f9d18f8b9f99fbe7
Perceptual Hash:bc68c3ce83913a9e
Difference Hash:633336332823d3cc
Wavelet Hash:b99183819791f1e7
Color Hash:#79d2a9

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data