Security Scan Report: gorollick.com

Redirected to:
https://gorollick.com/r/start
Site favicon
Submitted: Sep 19, 2026, 10:32:57 AMCompleted: Sep 19, 2026, 10:33:56 AMpubliccompleted

This website contacted 75 IPs in 3 countries across 55 domains to perform 194 HTTP transactions. The main domain is gorollick.com and was registered 25 years ago.

Submitted URL: https://gorollick.com

Effective URL:

https://gorollick.com/r/start
Redirected

The Cisco Umbrella rank of the primary domain is #428,756 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate GoRollick vehicle marketplace. 9-year-old domain, self-branded, no credential/payment forms, no IoC, YARA or phishing signals. The 3 IDS alerts are only informational external IP-lookup (ipinfo.io) events, not malicious.

Safety Factors
9-year-old well-established domain with physical address and business entity
Own-brand self-representation consistent with domain name
No credential-harvesting or payment forms present
No malware, IoC, or phishing evidence in content or JavaScript
Domain age information unavailable

Details

Page Title

GoRollick: Real Pricing on Motorcycles, ATVs, UTVs, RVs, Boats & More

Scan Type

public

Domain Name Analysis

The domain 'gorollick.com' uses the commercial generic top-level domain (.com). The core label 'gorollick' covers 9 characters containing three vowels alongside six consonants. Segmentation suggests 2 words: go, rollick. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gorollick.com

Page Load Overview

10.63s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:137,347 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical50% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
50%
government public service
50%
entertainment media
39%
e-commerce shopping
38%
technology software
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4652.159.106.128Azure · CLOUDChicago, Illinois, United States
AS8075Microsoft Corporation
223.101.171.94Azure · CLOUDChicago, Illinois, United States
AS8075Microsoft Corporation
2142.251.13.97Google · CDNUnited States
AS15169Google LLC
2104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
265.9.130.86Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.9.130.96Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19475--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15505F832F940153F9B7B05C4A34A970A72C6A21FF0954850B5DD436C8BE9DB8B52F3AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zufmVRojuzL2Fj3ur7r78vi6c951QBcgrzcjkMJMdhBBiUFZc6evU:HVRojuW48tmgr4j+djyc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:847773:CGQTBuWaIAsIUwQEgFEDCDICCY4gisCo3SJVwWNoGBMAKdRgCKDwJiKiCgpLImIAxkiAIAgTARhIIozIJUEVhKIYAWA3BhA0

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:00001818181dffff
Perceptual Hash:8d4e72b789c1c98d
Difference Hash:6d253333333382c8
Wavelet Hash:17001818183fffff
Color Hash:#d2797e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data