Security Scan Report: shopde.oliviarodrigo.com

Site favicon
Submitted: May 3, 2026, 4:02:17 AMCompleted: May 3, 2026, 4:04:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 11 IPs in 4 countries across 12 domains to perform 116 HTTP transactions. The main domain is shopde.oliviarodrigo.com and was registered NaN years ago.

Submitted URL: https://shopde.oliviarodrigo.com/en

The Cisco Umbrella rank of the primary domain is #945,008 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate with low risk; no phishing, malware, or credential collection observed.

Risk Factors
Low Cisco Umbrella ranking (945,008) for a claimed well‑known brand
Critical JavaScript obfuscation score (high entropy, base64, charcode manipulation)
Safety Factors
Well‑established domain age (>10 years)
No credential or payment collection forms
No malicious Indicators of Compromise detected
No network IDS alerts
Brand name matches the domain sub‑domain
Domain age information unavailable

Details

Page Title

Olivia Rodrigo - Official Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(84%)

Domain Information

You're looking at domain 'shopde.oliviarodrigo.com' on the commercial generic top-level domain (.com), featuring subdomain 'shopde'. The core label 'oliviarodrigo' covers 13 characters split between seven vowels and 6 consonants. Splitting it apart reveals 2 words: olivia, rodrigo. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shopde.oliviarodrigo.com/en

Page Load Overview

9.46s
Total Load Time
229
HTTP Requests
14
Domains
9.3 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:2,579 chars
Detector Agreement:75%

Website Classification

Primary Category

entertainment media84% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
84%
government public service
44%
news media journalism
43%
adult content
39%
education learning
34%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2987.230.98.78Germany
AS61157PlusServer GmbH
2099.84.152.82United States
AS16509Amazon.com, Inc.
20195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2023.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
2023.227.38.74Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
2034.149.34.106Kansas City, Missouri, United States
AS396982Google LLC
2034.160.147.240Kansas City, Missouri, United States
AS396982Google LLC
2045.60.33.79United States
AS19551Incapsula Inc
20104.20.35.80United States
AS13335Cloudflare, Inc.
20185.146.173.20Sweden
AS13335Cloudflare, Inc.
22911--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E542B40D02470BA496382BBB1A5BB99B5B5E247E613EDC8B3FD43101FC1F924C6B65A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6K1w3gLirO54Jkn3A+AVf4rAS/ROaF0rwqr/2lome2uc1KPUv2us1KHsmxO5o/:62w3gLirO54JknPY2Xwcbps3Xg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:303070:ACIIIgFouA5WKchhgyIKEQgCAAKgATFKgBoQSCABgNsMwDsEKgWcQHKUyIBaqHwXGgwURCiVCBJEMJUQ0yIdrFg4CwpFBCgD

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:9f9cbd3b3f190706
Perceptual Hash:9cdc768ca1a1c1bb
Difference Hash:262171f2f3e3bc4c
Wavelet Hash:9f1c3d3b1f190e06
Color Hash:#6ce08d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data