ScanMalware.com

Security Scan Report: www.mcalistersdeli.com

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3d5d2331-e8f2-499d-9de3-95eae51e3eb4Domain and IP registration (RDAP)/api/v1/rdap/3d5d2331-e8f2-499d-9de3-95eae51e3eb4How often this domain was scanned/api/v1/domain/stats/mcalistersdeli.comScan history for this domain/api/v1/domain/history/mcalistersdeli.com?limit=15
This website contacted 251 IPs in 9 countries across 112 domains to perform 367 HTTP transactions. The main domain is mcalistersdeli.com and was registered 29 years ago.

Submitted URL: https://www.mcalistersdeli.com/rewards

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate rewards page with no security concerns

Safety Factors (3)
Official brand content for McAlister's Deli
Well-established domain with long registration history
Page contains only informational content and reward details
Domain age information unavailable

Details

Page Title

McAlister's Rewards | Earn Points & Get Free Food | McAlister's Deliother network

Scan Type

public

Domain Name Analysis

Domain 'www.mcalistersdeli.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'mcalistersdeli' stretches across 14 characters with 5 vowels and 9 consonants. It segments into 4 words: mca, lister, s, deli. Expect 3.5 characters per word on average. 'maca' is most common in Czech usage. You may catch it in Slovak and Croatian as well.

Screenshot

Security scan screenshot of https://www.mcalistersdeli.com/rewards

Page Load Overview

1.43s
Total Load Time
9.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,143 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing59% confidence
Type: spa
Method: ml+structural

All Detected Categories

download file sharing
59%
technology software
56%
government public service
48%
e-commerce shopping
45%
news media journalism
44%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
92172.64.149.5United States
AS13335CLOUDFLARENET
1834.8.9.231Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1598.82.156.107Ashburn, Virginia, United States
AS14618AMAZON-AES
14150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1113.33.187.2New York, New York, United States
AS16509AMAZON-02
11142.250.181.232United States
AS15169GOOGLE
1123.36.162.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1013.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
623.206.208.183Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
367251--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128F31B6FED00E506C9866E8B707E6E76A047C13B4566D89CD4FCCD2A12C28BB4BF3594

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SEXPFFT7KsLb+2wmkCV8Wuvjq5MGdUW1qUW1FUW1LUW1WUW1PUW1/UW1fGTuNa44:DPFlE2zRBaAzh2ZP/nBqK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171881:AAQG4JCMDQKZYCsAhYpyAAJ0kh5OOpDAUkirwlAgsI0oUUikZYEQIUxokAJIgFEggpQgQABAAQAADsYgGRIFY9NWAAkMtQAE

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:fdf191e1f1ffffff
Perceptual Hash:ee6a9191d31a9b1c
Difference Hash:592327252710094d
Wavelet Hash:81e08081e1ffe7e7
Color Hash:#1f937c

Other Hashes

Crop Resistant:592327252710094d,4ce06179f08eea8a,4961333369e8e892

Scan History

Scan history not available

Unable to load historical scan data