Security Scan Report: connectivity-metrics.aiia.dev

Submitted: Jan 5, 2026, 6:48:45 AMCompleted: Jan 5, 2026, 6:50:25 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 connectivity-metrics.aiia.dev and was registered NaN years ago.

Submitted URL: https://connectivity-metrics.aiia.dev

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>6 years)
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Page Title

Web App - Unavailable

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

technology software

(40%)

Domain Information

The domain name 'connectivity-metrics.aiia.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'connectivity-metrics'. The second-level label 'aiia' is 4 characters long split between 4 vowels and 0 consonants. It segments into 3 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://connectivity-metrics.aiia.dev

Page Load Overview

1.35s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
Text Length:142 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software40% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
40%
phishing scam
38%
documentation technical
31%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.50.64.22Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C31FEAA86B71144B602C4686FD326412A18E1439247C9383FDDF36CEFC65A589E37CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:ha6plM+sBAxjxW6yXFHMDgW7ZRs2WRVmqy5PFkGJfnGhFplQtGncgswpmj:bplMDRtXF8Q6T1JuDplvcgw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1817:AAAiAAAAAAAAQAgAAQAIgEEAAACAAAAAACCAAAEAQCAAFEAAABFBAIIACAACEAAAAAAAAgBFgQAAVAAAAEAAAAAAAEIAEACD

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:0078780000000000
Perceptual Hash:c7cf38383033c7c6
Difference Hash:0860600800000000
Wavelet Hash:287878380f0f0f0f
Color Hash:#9d40bf

Scan History

Scan history not available

Unable to load historical scan data