Security Scan Report: de.foursquare.com

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Submitted: Sep 25, 2026, 11:04:54 PMCompleted: Sep 25, 2026, 11:05:53 PMpubliccompleted

This website contacted 15 IPs in 2 countries across 16 domains to perform 118 HTTP transactions. The main domain is de.foursquare.com and was registered 22 years ago.

Submitted URL: https://de.foursquare.com/locations/regal-cinemas/philadelphia

The Cisco Umbrella rank of the primary domain is #28,830 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Foursquare page listing Regal Cinemas locations in Philadelphia. Aged, well-ranked domain; no phishing, malware, credential or payment forms, and no threat-intel hits.

Safety Factors
Established 24-year-old domain with strong Cisco Umbrella ranking
No threat-intelligence matches against the page or loaded resources
No credential, password or payment collection — only a standard location search form
Mentions of 'Regal' are third-party directory references (reviews/tips), not brand impersonation
Cookies/consent and analytics scripts (OneTrust, Google Analytics, Facebook) are standard for legitimate platforms
Domain age information unavailable

Details

Page Title

Regal Cinemas Orte in Philadelphia - Lass dir Öffnungszeiten, Wegbeschreibung, Tipps und Fotos anzeigen.

Scan Type

public

Domain Name Analysis

You're looking at domain 'de.foursquare.com' on the commercial generic top-level domain (.com) with subdomain 'de'. The registrable portion 'foursquare' spans 10 characters split between five vowels and 5 consonants. Breaking it apart gives one word: foursquare. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://de.foursquare.com/locations/regal-cinemas/philadelphia

Page Load Overview

2.71s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,829 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media33% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
7104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
735.186.235.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
799.84.152.117Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
799.84.152.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
799.84.152.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7104.18.87.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
11815--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A931C3BEB05003FD35306C5EAB5BB9DE0D7122AC6560D09F6FC96AD27D9D76380902A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rAOX1/oq4ZHnzxBNPZFHlqXR6moCTnpIqy:nX1/wHoXR6moCNy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91905:0h5AwgZhUQMsIF13iAgTmYIGEAIgALAkASFAChn8FTBBACqWKgFoo4mFFFqiGCjREoBDUUgGWHS9iINMyiYCUEAqzQIRJjAl

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:00dfdfdffffff9f9
Perceptual Hash:ed144b474e5c4e47
Difference Hash:65baba3727232b2b
Wavelet Hash:00c2c383e3d3f9f9
Color Hash:#3e931f

Scan History

Scan history not available

Unable to load historical scan data