ScanMalware.com

Security Scan Report: cap-count.com

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Submitted: Sep 24, 2026, 9:41:52 PMCompleted: Sep 24, 2026, 9:42:26 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/939675bf-0e0f-4491-8633-37d8bf340d3eDomain and IP registration (RDAP)/api/v1/rdap/939675bf-0e0f-4491-8633-37d8bf340d3eCertificate Transparency/api/v1/ct/cap-count.comHow often this domain was scanned/api/v1/domain/stats/cap-count.comScan history for this domain/api/v1/domain/history/cap-count.com?limit=15

This website contacted 11 IPs in 2 countries across 6 domains to perform 39 HTTP transactions. The main domain is cap-count.com and was registered 6 years ago.

Submitted URL: https://cap-count.com/matches/8580716-tunisia-vs-uganda

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Niche rugby tracker with own-brand CapCount, no forms, no IoC, no malware. Only risk is a young, unranked domain — no concrete malicious signal.

Risk Factors
Newly registered domain (52 days old)
Domain not present in Cisco Umbrella top 1M (unranked)
Safety Factors
Self-branding: page title/meta match its own domain, no third-party brand impersonation
No credential, login, or payment forms in the captured DOM
No Indicators of Compromise or threat-intel matches
No JavaScript malware patterns or suspicious behavioral signals
No cross-origin credential exfiltration
Domain age information unavailable

Details

Page Title

Tunisia vs Uganda, 27 Nov 2023 | CapCount

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'cap-count.com' is registered while skipping any subdomain. The core label 'cap-count' covers 9 characters containing 3 vowels alongside 5 consonants; it also includes one hyphen. Word splitting yields two words: cap, count. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cap-count.com/matches/8580716-tunisia-vs-uganda

Page Load Overview

1.44s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:755 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
60%
adult content
58%
news media journalism
56%
entertainment media
30%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.29.17.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3104.20.17.167Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.166.164Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
33.40.5.191Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
33.40.5.187Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3911--

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A571B7679FA045160B11926278EFF405CE42A107E704BDE0F8DE025D2FD9EE98AFB394

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T2bogEYuMaNsFNbGqFPb6XMBFRcqvxFrKJs/Z7c1:T24YuLNy9hX/JFWJs/1S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3652:IAAVAOAASAAAAAARgAgBBEAABCAwxkAQQBQBaAAAJJAAAAAAIAgAgMAAAIIIAMAE4QAA4AACgEAALIgAQZAAAAAAIgARBgCA

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:007e3c3c3c3c3c00
Perceptual Hash:c3c530326cce69db
Difference Hash:d4d4d0c0d0d8c8e0
Wavelet Hash:207e7c7c7e3e3c00
Color Hash:#784f3a

Other Hashes

Crop Resistant:d4d4d0c0d0d8c8e0

Scan History

Scan history not available

Unable to load historical scan data