Security Scan Report: businessday.ng

Site favicon
Submitted: Oct 1, 2025, 11:45:50 PMCompleted: Oct 1, 2025, 11:48:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 130 IPs in 4 countries across 53 domains to perform 462 HTTP transactions. The main domain is businessday.ng.

Submitted URL: https://businessday.ng/live_match/bayer-leverkusen-vs-psv/

The Cisco Umbrella rank of the primary domain is #454,782 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The page appears to be a legitimate news article with no malicious activity, though the domain lacks ranking data.

Risk Factors
Domain is UNRANKED in Cisco Umbrella (low reputation signal)
Domain age information is missing/unknown
Safety Factors
Absence of login or payment forms
No malicious Indicators of Compromise detected
Content aligns with expected news article
Domain age information unavailable

Details

Page Title

Bayer Leverkusen vs PSV - Businessday NG

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(71%)

Screenshot

Security scan screenshot of https://businessday.ng/live_match/bayer-leverkusen-vs-psv/

Page Load Overview

97.90s
Total Load Time
462
HTTP Requests
53
Domains
8.8 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:9,460 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network71% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
71%
news media journalism
70%
government public service
25%
news/blog
20%
forum
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
75143.244.56.49Paris, Île-de-France, France
AS60068Datacamp Limited
334.111.60.239Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3172.67.74.162United States
AS13335CLOUDFLARENET
318.245.64.167United States
AS16509AMAZON-02
323.50.131.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
335.208.249.213Council Bluffs, Iowa, United States
AS15169GOOGLE
3172.217.18.8United States
AS15169GOOGLE
3104.17.25.14United States
AS13335CLOUDFLARENET
3146.75.121.44Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3104.26.9.49United States
AS13335CLOUDFLARENET
462130--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9B44B7260B160B7006FBEC4667E77CAB223870EF945CAE4B2AD8BA457D5E43441727C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:RwGkHsJTW3CtZGkJeK4eRuBmsIWJP6LYSKY0+G+/IJkNrKP2T/SKY0+GOx7Jkg:okdeK4eRuJIuY0+G+sMrKPUxY0+GOf9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500237:QQBAEQSIEkpOdkWERBKCAYsGlLjXBGUBRIAswnGAQQCIDSGQAAKlBhiqRYmpDjIkgotAgGJAPYMAsCIIsCE0HN7CCg0MoAMW

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data