Security Scan Report: footfallcam.com

Redirected to: https://www.footfallcam.com/

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Submitted: Dec 28, 2025, 6:34:43 PMCompleted: Dec 28, 2025, 6:35:29 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 18 domains to perform 208 HTTP transactions. The main domain is footfallcam.com and was registered NaN years ago.

Submitted URL: https://footfallcam.com

Effective URL: https://www.footfallcam.com/Redirected

The Cisco Umbrella rank of the primary domain is #363,924 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Likely phishing site using major brand logos on a low‑rank domain.

Risk Factors
Brand impersonation/typosquatting: major brand logos shown on unrelated low‑ranking domain
Low Cisco Umbrella ranking for a site displaying well‑known brand names
Domain age information unavailable

Details

Page Title

People Counting System | People Counter | FootfallCam

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(63%)

Domain Information

Domain 'footfallcam.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 11 characters in 'footfallcam' with 4 vowels and seven consonants. It segments into two words: footfall, cam. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://footfallcam.com

Page Load Overview

10.17s
Total Load Time
208
HTTP Requests
0
Domains
N/A
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
Text Length:13,198 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping63% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
63%
technology software
35%
government public service
34%
corporate business
30%
education learning
28%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
180104.26.2.21UnknownUnknown
7142.251.141.100United States
AS15169GOOGLE
3142.250.186.142UnknownUnknown
3142.250.185.98UnknownUnknown
3157.240.0.6Germany
AS32934FACEBOOK
3216.58.206.40UnknownUnknown
2216.58.206.46UnknownUnknown
2142.251.140.174UnknownUnknown
1104.16.80.73United States
AS13335CLOUDFLARENET
1142.250.185.226UnknownUnknown
013--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B94613074F0443F71BB82D5BB74BA06AFA1A507CA4A4805B2AD17D85FE3D52A92339D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:B6tLX611sbNEwg4+uU+rRcvXUT9wWWXkW8ZJNQv7Ux5MriBU4+WGa5GAxUAu1Tb:B6tLX611sbNEwg4+uU+rRcvXUT9wWWXD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:408758:SjTBLYEYQZCmYEYhhgMS1FjFAQAYAkkjMgC1NmokYMAwqABYhYVNIQhhiYmqoGzASSEGMEBCNARIktcCIAIARYKEQg4tBKK4

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:00060e0e00ffffff
Perceptual Hash:9111eae8688dcfec
Difference Hash:8a9c1c988c058565
Wavelet Hash:00060e0e00ffffff
Color Hash:#c5a787

Scan History

Scan history not available

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