ScanMalware.com

Security Scan Report: docs.tic.io

Redirected to:
https://docs.tic.io/technology/introduction
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/84fc56a9-d9fc-4c10-bf7a-88cd33fb20dbDomain and IP registration (RDAP)/api/v1/rdap/84fc56a9-d9fc-4c10-bf7a-88cd33fb20dbHow often this domain was scanned/api/v1/domain/stats/docs.tic.ioScan history for this domain/api/v1/domain/history/docs.tic.io?limit=15
This website contacted 36 IPs in 1 country across 8 domains to perform 157 HTTP transactions. The main domain is tic.io and was registered 11 years ago.

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

Effective URL:
https://docs.tic.io/technology/introduction
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate documentation site with no security concerns.

Safety Factors (3)
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

Domain Name Analysis

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

eo { Q Search... Chik Support Dashboard) Med Documentation Core API Reference Industry API Reference IDPAPIReference Statistics Reseller Free (@) Homepage Technology Graph Intelligence Solutions...

Page Load Overview

1.62s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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
AS54113FASTLY
718.64.16.159United StatesUnknown
418.64.16.52United States
AS16509AMAZON-02
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:N/A

Other Hashes

Crop Resistant:491a1e641d9d1d1d,3f3f6a6af4e2e6fb

Scan History

Scan history not available

Unable to load historical scan data