Security Scan Report: docs.tic.io

Redirected to: https://docs.tic.io/technology/introduction

Submitted: Nov 25, 2025, 7:28:02 AMCompleted: Nov 25, 2025, 7:30:24 AMpubliccompleted
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Summary

This website contacted 36 IPs in 1 country across 8 domains to perform 157 HTTP transactions. The main domain is docs.tic.io and was registered NaN years ago.

Submitted URL: https://docs.tic.io/

Effective URL: https://docs.tic.io/technology/introductionRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate documentation site with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of login or payment forms
Clean threat intelligence profile
Domain age information unavailable

Details

Page Title

Introduction - TIC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(89%)

Domain Information

The domain name 'docs.tic.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'docs'. Its registrable label 'tic' stretches across 3 characters holding 1 vowel versus 2 consonants. Segmentation suggests 1 word: tic. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://docs.tic.io/

Page Load Overview

1.62s
Total Load Time
157
HTTP Requests
8
Domains
1.9 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
Text Length:2,821 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software89% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
89%
documentation technical
84%
corporate business
64%
government public service
50%
finance banking
41%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10066.33.60.130United States
AS16509AMAZON-02
30151.101.2.208San Francisco, California, United States
AS54113FASTLY
1718.64.16.17United States
718.64.16.159United StatesUnknown
418.64.16.52United States
418.64.16.102United StatesUnknown
43.33.152.127United States
AS16509AMAZON-02
4151.101.130.208San Francisco, California, United States
AS54113FASTLY
43.174.46.92United States
AS16509AMAZON-02
444.207.27.3Ashburn, Virginia, United States
AS14618AMAZON-AES
15736--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19544731FA421EE267CA64F981E367F37C54CCB3BD6A0967CEA4DE92B02C49351B51027

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rYejJ5cR8JYJx84Mns20VtlvU9cdHGbOAOhZrWNJN3Sc0ZyA:rYejJ5cR8JYJx8Hsxtl8ydHzjr8N3V8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:275339:AIGAMO8EtNEBAEYSyQIZAEIwmEZMMCmEomI4CB6SoMrgIRGDGgCgVCSAIMZgElBF0EQFA1kw1QICA0GeCUjhCwCAJJIFEACg

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:ffffffffc7c7c7c7
Perceptual Hash:b0cf3032cfcd32cc
Difference Hash:491a1e641d9d1d1d
Wavelet Hash:ad8f8787c383c383
Color Hash:#7153ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data