ScanMalware.com

Security Scan Report: analyai.io

Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/1c68b3f7-de4a-4707-b860-6f0544d93e1cDomain and IP registration (RDAP)/api/v1/rdap/1c68b3f7-de4a-4707-b860-6f0544d93e1cCertificate Transparency/api/v1/ct/analyai.ioHow often this domain was scanned/api/v1/domain/stats/analyai.ioScan history for this domain/api/v1/domain/history/analyai.io?limit=15
This website contacted 6 IPs in 2 countries across 5 domains to perform 35 HTTP transactions. The main domain is analyai.io and was registered 4 months ago.

Submitted URL: https://analyai.io/match/south-africa-vs-guinea-26-09-2026

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Self-branded football analysis site (AnalyAI) on a 124-day-old domain. No forms, no credentials, no Indicators of Compromise, no malware. Content is informational prediction/statistics only.

Safety Factors (4)
Site displays its own brand (AnalyAI) consistent with its domain
Zero forms, so no credential or payment harvesting surface
No threat-intel, YARA, Safe Browsing or network IDS hits
Content is informational football prediction/statistics with a responsible-gambling disclaimer
Domain age information unavailable

Details

Page Title

South Africa vs Guinea : Analyse & Pronostic IA

Scan Type

public

Domain Name Analysis

Domain 'analyai.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. The second-level label 'analyai' is 7 characters long split between four vowels and 3 consonants. Word splitting yields two words: anal, yai. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://analyai.io/match/south-africa-vs-guinea-26-09-2026

Page Load Overview

3.30s
Total Load Time
4.6 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:1,977 chars
Detector Agreement:80%

Website Classification

Primary Category

healthcare medical97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
97%
adult content
94%
blog personal website
90%
government public service
77%
documentation technical
56%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10185.158.133.1Cloudflare · CDNFrankfurt am Main, Hesse, Germany
AS13335Cloudflare, Inc.
5157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
53.13.172.53Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
5157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5104.20.39.36Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.66.164.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
356--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17EF2EB50B148123D2A3B9B90FAC5773C8134F242EF634D69F05D04A7E9C6FE964B3A99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:SXkWKGni4Uobx0rGV4xksc64Jysq7vJfSXn/doY4s2N:SXkWKGn1ebx/c64Jysq7vJfSXn/Ysq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34726:QjJJxEUAAxQREAew3MSA8QCBASQhIhg5xQisgSATWALAKE0wRZIIBAiSgkQ8nsKqggIknFIQN4Y2kfiKhIbMMiUMcLuIBOIB

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:0119191919191901
Perceptual Hash:88dd33266771cccc
Difference Hash:0931333131313131
Wavelet Hash:39393d3d391d1919
Color Hash:#86762d

Other Hashes

Crop Resistant:0931333131313131

Scan History

Scan history not available

Unable to load historical scan data