Security Scan Report: renuvia.se

Submitted: Sep 25, 2026, 4:30:22 PMCompleted: Sep 25, 2026, 4:31:09 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Very new, unranked Shopify store with its own brand (Renuvia) and no credential/payment forms, no IoC, YARA or IDS hits. Only weak signals (age, DevTools blocking, urgency timer) — moderate risk, not phishing.

Risk Factors (4)
Domain registered ≤1 day ago (CRITICAL age category, 3x multiplier)
Domain unranked / no established reputation
JavaScript anti-analysis: DevTools and right-click/context-menu blocking (2 techniques)
Artificial urgency/scarcity countdown ('Högt tryck i lagret - Reserverad i 05:00 minuter')
Safety Factors (5)
Self-branding detected — title/meta match the domain, no brand impersonation
No credential or payment fields in any captured form (0 password, 0 disguised-password, 0 payment fields)
No cross-origin credential forms and no credential exfiltration detected
No Indicators of Compromise, no JavaScript YARA malware, no known-kit match, no network IDS alerts
Runs on legitimate Shopify e-commerce infrastructure
Domain age information unavailable

Details

Page Title

Renuvia

Scan Type

public

Domain Name Analysis

Domain 'renuvia.se' uses the Swedish country-code top-level domain (.se). The registrable portion 'renuvia' spans 7 characters containing four vowels alongside 3 consonants. Segmentation suggests 3 words: ren, u, via. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://renuvia.se

Page Load Overview

9.74s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv
Text Length:1,063 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business70% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
70%
e-commerce shopping
51%
technology software
47%
finance banking
41%
corporate
35%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1318.168.192.158Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
1323.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1323.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
1318.66.102.51Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1334.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1334.149.34.106Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1365.9.130.127Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1346.137.15.86Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
1323.227.38.74Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
22617--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FAF37DD192B15039484742ADFBAFB245766DD04BE689C8807BDD8B1C7F82EC6D887E4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:B5bdaJrcjkuQA2s2hZ8pMlF0vlihMybQM1g1o1lUlKK9QmM09QyxM:EDMybd1C9xM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167461:TYoCUxwiCjBgAgsUQbkhxBEAARMYEQ6UeGgAAIkGxIhaAFCCQBZaQiSAABPQAAAMAwALBw12EN1QBCKwRBQg4AACCCJwwAgC

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:ff171f1f17003c3c
Perceptual Hash:8eacc372d2597916
Difference Hash:33e7f6faeced7868
Wavelet Hash:ff031f1f17003c3c
Color Hash:#53ac93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data