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Security Scan Report: ecom.roller.app

Redirected to:
https://ecom.roller.app/404
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Submitted: Jun 12, 2026, 11:59:44 PMCompleted: Jun 13, 2026, 12:01:07 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is ecom.roller.app and was registered NaN years ago.

Submitted URL: https://ecom.roller.app

Effective URL: https://ecom.roller.app/404Redirected

The Cisco Umbrella rank of the primary domain is #124,365 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site appears legitimate with low risk; no phishing or malware detected, but high JS obfuscation suggests caution.

Risk Factors
Low domain ranking (outside top 100k)
High JavaScript obfuscation score
Safety Factors
Old, well‑established domain
No login, payment, or credential‑harvesting forms
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Checkout

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(50%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ecom.roller.app' is registered with subdomain 'ecom'. The registrable portion 'roller' spans 6 characters containing two vowels alongside four consonants. Splitting it apart reveals one word: roller. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecom.roller.app

Page Load Overview

1.72s
Total Load Time
83
HTTP Requests
3
Domains
199 KB
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:184 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

e-commerce shopping
50%
adult content
43%
documentation technical
38%
technology software
38%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29142.251.20.94United States
AS15169Google LLC
27146.75.123.52Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2713.226.244.20United States
AS16509Amazon.com, Inc.
833--

Detected Technologies3

Amazon Web Services
40%
Amazon S3
40%
Amazon CloudFront
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184935601E100051BF6938AFE50C8ED62EF55CCD19911636BF2F49B4FAA8D8B6F24D627

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qoskvVwWgjDs/V+m0kn1KqsOVv3hX06FlsZVcEWtiMvPszVKyIADx2WsSVbTlLW2:qKIftcv65M2NnSivSnba9SS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90687:AaaAQICm+AQE+BBoLYBkgiIAoAACAgIGWisFIBDwmlkAgKclgMSbpCABgrGhBpZAIClMdHJEBAIIiIHQbfFICnAgwEoA5QFE

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:ffc3c3ffffffffff
Perceptual Hash:b33398ccccccc633
Difference Hash:000c0c0000000000
Wavelet Hash:3f03033f0f0f0f0f
Color Hash:#d2799a

Other Hashes

Crop Resistant:000c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data