Security Scan Report: amlingestionservice.test.aiia.dev

Submitted: Dec 27, 2025, 6:23:30 AMCompleted: Dec 27, 2025, 6:23:54 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is amlingestionservice.test.aiia.dev and was registered NaN years ago.

Submitted URL: https://amlingestionservice.test.aiia.dev

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment forms
Domain age information unavailable

Details

Page Title

amlingestionservice.test.aiia.dev

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'amlingestionservice.test.aiia.dev' is registered and includes subdomain 'amlingestionservice.test'. The second-level label 'aiia' is 4 characters long split between four vowels and zero consonants. It segments into three words: a, ii, a. Median word length is 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amlingestionservice.test.aiia.dev

Page Load Overview

0.94s
Total Load Time
1
HTTP Requests
1
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:284 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service63% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
63%
technology software
60%
healthcare medical
59%
news media journalism
54%
cryptocurrency blockchain
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
120.105.216.18Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
11--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198048F77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz/2bMy8Old4:+hoC9JSqzzbs6o3Sj3gcrsT2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184747:EBBIpAjCwJsdiFAYhASAxlJRxEQEBccg2aEmAFaAUILAUiDAhgKTdAfNbCsItbAkAIQd0EHoLCAiUAQDhAAmOxCpyCIIAJ1l

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:ffc7c7c3f3ffffff
Perceptual Hash:b1319acccc733333
Difference Hash:00141c1606000000
Wavelet Hash:fcdcc0c0030f0f0f
Color Hash:#bf40a6

Other Hashes

Crop Resistant:00141c1606000000

Scan History

Scan history not available

Unable to load historical scan data