Security Scan Report: full.io

Submitted: Feb 13, 2026, 1:59:34 AMCompleted: Feb 13, 2026, 2:01:28 AMpubliccompleted
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Summary

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

Submitted URL: https://full.io

The Cisco Umbrella rank of the primary domain is #491,156 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns; safe to browse.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
No brand impersonation in meta tags or content
No external malicious links
Domain age information unavailable

Details

Page Title

full.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(97%)

Domain Information

The domain 'full.io' uses the British Indian Ocean Territory country-code top-level domain (.io). The registrable portion 'full' spans 4 characters with one vowel and 3 consonants. Splitting it apart reveals one word: full. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://full.io

Page Load Overview

20.98s
Total Load Time
61
HTTP Requests
14
Domains
13.2 MB
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-US
Text Length:3,572 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning97% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
97%
government public service
89%
corporate business
86%
documentation technical
85%
technology software
84%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61192.0.78.224San Francisco, California, United States
AS2635Automattic, Inc
611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz22bMy8Oldw:ThoC9JSqzzbs6o3Sj3gcrsS2eA+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184426:9iBQWSRYiBDiEIZcFQBkBAaIAwlASccKQIrmAEkpgJmBhBBuiqgQVJNuIABFCrAAwDAAEyQybKhDoLaIoRByhHEEuCJAzAiO

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:ffcfc7cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#452dd2

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data