Security Scan Report: guardan.io

Submitted: Nov 26, 2025, 2:49:49 PMCompleted: Nov 26, 2025, 2:52:41 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is guardan.io and was registered NaN years ago.

Submitted URL: https://guardan.io/

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

Site appears legitimate, currently under construction, with no detected threats.

Safety Factors
No forms or credential collection fields detected
No malicious Indicators of Compromise matches found
Domain age is moderate (263 days) and not newly registered
Page displays only an under‑construction notice
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(66% confidence)

Category

other

(31%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'guardan.io' is registered while skipping any subdomain. Count 7 characters in 'guardan' with three vowels and 4 consonants. It segments into two words: guard, an. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://guardan.io/

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:66%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:66%
Script Type:Latin
Text Length:87 chars
Detector Agreement:100%

Website Classification

Primary Category

other31% confidence
Type: static
Method: ml+structural

All Detected Categories

other
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.21.3.247United States
AS13335CLOUDFLARENET
2172.67.131.96United States
AS13335CLOUDFLARENET
02606:4700:3035::ac43:8360United States
AS13335CLOUDFLARENET
02606:4700:3031::6815:3f7United States
AS13335CLOUDFLARENET
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9B092BAF1702480A9B22A8598AA2E435D3C877870066A091958607D4539B8FF8AF3DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6OogwyLIN1rWAhFPuDcJLIi1M24HKBcz:qzxO96YwFxz15lGHHXz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4fe6bb763b783ab8a844736422750874

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:03ffffffffffffff
Perceptual Hash:ad2d2d2d2d2d2d25
Difference Hash:1600000000000000
Wavelet Hash:00fcf0f0f0f0f0f0
Color Hash:#b36ce0

Other Hashes

Crop Resistant:1600000000000000

Scan History

Scan history not available

Unable to load historical scan data