Security Scan Report: eatarbys.me

Redirected to:
https://www.arbys.com/account/?%24web_only=true&_branch_match_id=16451...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 46 IPs in 2 countries across 33 domains to perform 183 HTTP transactions. The main domain is eatarbys.me and was registered 2 years 2 months ago.

Submitted URL: https://eatarbys.me/VwVoAZyzVRg

Effective URL:
https://www.arbys.com/account/?%24web_only=true&_branch_match_id=16451...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

SMS rewards link that loops through Voxie/Branch marketing redirects and lands on the official arbys.com account page; no forms, no threat-intel hits, no impersonation. Legitimate.

Safety Factors (5)
Final URL is the official arbys.com domain (brand's own account page, self-branding)
No credential or payment form present in the captured DOM
No Indicators of Compromise, hunting rule, kit-roster or IDS detections
Cross-domain redirects are attributable to SMS marketing and mobile deep-link services, a normal pattern for brand promotional links
Standard marketing/analytics third-party scripts, all ranked in the top 1M
Domain age information unavailable

Details

Page Title

Arby's

Scan Type

public

Domain Name Analysis

Within the Montenegrin country-code top-level domain (.me), 'eatarbys.me' is registered and has no subdomain. The registrable portion 'eatarbys' spans 8 characters with 3 vowels and 5 consonants. Segmentation suggests 3 words: eat, arby, s. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eatarbys.me/VwVoAZyzVRg

Page Load Overview

5.65s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:348 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
92%
technology software
71%
finance banking
41%
e-commerce shopping
35%
adult content
33%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48104.18.43.71Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
365.9.130.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
354.192.35.31Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.64.144.185Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
335.81.31.24Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
323.20.221.116Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
18346--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A74D7FCBCA05536F53B946B73AAA619F26880078F0CED5471CE305C8FD8BE5456239A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ooB10LLVFIMQ7HUk4/ByqMwS5CiCtrY7JPPXkMIRz91CUIZG8X6HL0vx/AJA4fzT:Tr4/BeC3YmMv6HYlcA4Rx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:345553:UCEXywgnALAIYRURIgEAZYDiQAgMAnkcBCYhLkAbCDiQpfQACEhhKrdlaIigzABSa4DKjAAQAbFCLBIQbmBAOcIPakFRAEom

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:00181818ffffffff
Perceptual Hash:9b5d64e531194ce6
Difference Hash:126969714d0c4c0c
Wavelet Hash:00000018e7ffffff
Color Hash:#79b3d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data