Security Scan Report: plugwork.io

Redirected to: https://plugwork.io/

Submitted: Feb 27, 2026, 6:56:00 AMCompleted: Feb 27, 2026, 6:57:11 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 9 HTTP transactions. The main domain is plugwork.io and was registered NaN years ago.

Submitted URL: http://plugwork.io/

Effective URL: https://plugwork.io/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

New site with no obvious threats; low risk but monitor due to recent registration.

Safety Factors
HTTPS connection (final URL uses https)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns
No suspicious redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Plugwork – AI Automation & Workflow Systems

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(33%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'plugwork.io' is registered and has no subdomain. Count 8 characters in 'plugwork' split between 2 vowels and six consonants. Tokenizing the label suggests 2 words: plug, work. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://plugwork.io/

Page Load Overview

0.93s
Total Load Time
10
HTTP Requests
3
Domains
279 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
Text Length:1,894 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical33% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
492.113.16.29Germany
3216.58.206.42Germany
3142.251.143.99GermanyUnknown
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A782B63A32B06025480385917EE7675E6778E207D906847C76ED0A80CFDEEFC86E7B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:AOBIGRLy5BTAoowMML3daOKmctUoB7Znblr33rXs3lV6XlWezsrHIw3B9NNKpI8C:7It0PrYlJojmM5gG6DH1oPOKTZm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17826:IgmJCMwAAIAhULDggYQQAueFMAR6JkigNg6CABgJCiICAJDUKYASdtBVToQARkaIAwoBoqxga0QIAkGJgQgIAaDgQaMJASRI

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:0100053d3d212101
Perceptual Hash:8aba306f8bcf2638
Difference Hash:03896d69714d4911
Wavelet Hash:ff0d2f3f3d310101
Color Hash:#40bf84

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data