ScanMalware.com

Security Scan Report: www.restaurantbusinessonline.com

Submitted: Oct 1, 2025, 10:25:32 PMCompleted: Oct 1, 2025, 10:27:14 PMpubliccompleted
Loading additional data...

Summary

This website contacted 197 IPs in 4 countries across 42 domains to perform 233 HTTP transactions. The main domain is restaurantbusinessonline.com and was registered NaN years ago.

Submitted URL: https://www.restaurantbusinessonline.com/technology/doordash-wants-help-restaurants-get-butts-seats-lot-more

The Cisco Umbrella rank of the primary domain is #443,600 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate industry news article with minimal risk.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No login or payment forms present
Content aligns with reputable industry publication
Domain age information unavailable

Details

Page Title

DoorDash wants to help restaurants get butts in seats, and a lot more

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(50%)

Screenshot

Security scan screenshot of https://www.restaurantbusinessonline.com/technology/doordash-wants-help-restaurants-get-butts-seats-lot-more

Page Load Overview

35.14s
Total Load Time
233
HTTP Requests
42
Domains
12.3 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
Text Length:29,598 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping50% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
50%
news/blog
50%
documentation technical
48%
social media network
43%
technology software
37%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3713.226.244.62United States
AS16509AMAZON-02
152.49.29.232Dublin, Leinster, Ireland
AS16509AMAZON-02
1104.16.117.43United States
AS13335CLOUDFLARENET
118.66.147.53United States
AS16509AMAZON-02
1100.26.117.11Ashburn, Virginia, United States
AS14618AMAZON-AES
152.89.229.9Boardman, Oregon, United States
AS16509AMAZON-02
13.174.46.51United States
AS16509AMAZON-02
152.26.209.198Boardman, Oregon, United States
AS16509AMAZON-02
199.86.4.50United States
AS16509AMAZON-02
13.5.133.55Columbus, Ohio, United States
AS16509AMAZON-02
233197--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE44F933959D2437075319CD78FABBCCE18A412BD68389A5BAECC36A57D0CB4A47274C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+8+HpWyFMwL9mGGWeuwG5FIxhjV7VIHn87FxX7InfKkl517+tOxX7InfKkS5xZEv:+9MwkO8rIWFNtOr13wtn9eCHN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:263849:gSkrAVRWApALwZByARBF/DBBJGIVCKBBKhSFCEocEJDAaJAIwEQHvAgYRggBqBhQVBCC8EwCjYJ5QguojAcFFYIBdAI4qPBj

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:2ccfef9f9f87c3f9
Perceptual Hash:bf06431a4f431b4f
Difference Hash:693e1f6f331f1b33
Wavelet Hash:008387bf9f87cbc1
Color Hash:#ac9053

Other Hashes

Crop Resistant:693e1f6f331f1b33,c369616969696969,1b38306179179efc,0c2e0e169494946c

Scan History

Scan history not available

Unable to load historical scan data