ScanMalware.com

Security Scan Report: fcbinside.com

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Submitted: Dec 14, 2025, 4:22:44 PMCompleted: Dec 14, 2025, 4:23:22 PMpubliccompleted
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Summary

This website contacted 124 IPs in 6 countries across 30 domains to perform 172 HTTP transactions. The main domain is fcbinside.com and was registered NaN years ago.

Submitted URL: https://fcbinside.com/2025/12/14/bundesliga-liveticker-bayern-host-mainz-05/

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Site contains a password field without username, indicating possible credential harvesting; proceed cautiously.

Risk Factors
Credential harvesting pattern: password field without username
Multiple redirects may be used to obscure true destination
Safety Factors
Domain age of 1847 days (well‑established)
No malicious Indicators of Compromise matches found
No payment or credit‑card fields present
Site is not hosted on IPFS or cloud storage
Domain age information unavailable

Details

Page Title

Bundesliga LIVETICKER: Bayern host Mainz 05 - FCBinside - Latest Bayern Munich news

Scan Type

public

Language

🇺🇸

English

(45% confidence)

Category

news/blog

(100%)

Domain Information

The domain name 'fcbinside.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'fcbinside' spans 9 characters containing three vowels alongside 6 consonants. Splitting it apart reveals 2 words: fcb, inside. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fcbinside.com/2025/12/14/bundesliga-liveticker-bayern-host-mainz-05/

Page Load Overview

6.06s
Total Load Time
172
HTTP Requests
30
Domains
9.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:45%
Script Type:Latin
HTML Lang Attribute:de
Text Length:4,665 chars
Detector Agreement:80%
Language mismatch: Declared as de but detected as en

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
forum
70%
corporate
70%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49142.251.38.67United States
AS15169GOOGLE
118.165.140.23United States
AS16509AMAZON-02
154.74.66.123Dublin, Leinster, Ireland
AS16509AMAZON-02
118.165.140.88United States
AS16509AMAZON-02
1151.101.128.134San Francisco, California, United States
AS54113FASTLY
118.165.122.65United States
AS16509AMAZON-02
1142.251.38.70United States
AS15169GOOGLE
13.174.113.36United States
AS16509AMAZON-02
1142.251.38.78United States
AS15169GOOGLE
13.174.113.89United States
AS16509AMAZON-02
172124--

Detected Technologies8

X-UA-Compatible
100%
WordPressv6.8.3
100%
PasswordField
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E944FA33944508394FA781D5A154770C72BBC482FA638EF9FBBAF21CD6C9D8970EA194

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:44wCp1qIFAj5S6WVfH2uztzzkBvskJ1DXanq3BQZozr0P:rxAj5S6W5H2uztzzkBvskE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:262077:CoIWgpGg4IZ8IZEAKCtoOAkAhERj4IYkNALkQMhgu6ZkQEKxCiwYbvRKQCJQJiEWBCQoiCNFExQEOSQiAcELcEYigVh2sOQA

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:ffffcf87878787ff
Perceptual Hash:bec5c136323a3ac9
Difference Hash:3e623b0f2f0f2f03
Wavelet Hash:ff838383818183ff
Color Hash:#53ac72

Other Hashes

Crop Resistant:3e623b0f2f0f2f03,0000001010000000

Scan History

Scan history not available

Unable to load historical scan data