Security Scan Report: picoxr.com

Redirected to:
https://www.picoxr.com/de
Submitted: Completed: publiccompleted
This website contacted 18 IPs in 4 countries across 12 domains to perform 115 HTTP transactions. The main domain is picoxr.com and was registered 8 years ago.

Submitted URL: https://picoxr.com

Effective URL:
https://www.picoxr.com/de
Redirected

The Cisco Umbrella rank of the primary domain is #258,459 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Official PICO VR site on its own long-established picoxr.com domain. Self-branded, no forms, no threat-intelligence, malware or IDS hits. The single redirect is same-domain (apex to www).

Safety Factors (6)
Established 8-year-old domain (registered 2018)
Self-branding consistent with domain (PICO / picoxr.com)
No forms of any kind, so no credential or payment harvesting surface
No Indicators of Compromise, malware, obfuscated JS, or IDS alerts
Single same-domain redirect (picoxr.com → www.picoxr.com)
Third-party scripts served from 2 top-1M-ranked hosts
Domain age information unavailable

Details

Page Title

PICO Virtual Reality | Offizielle Website - PICO Germany

Scan Type

public

Domain Name Analysis

The domain 'picoxr.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 6 characters in 'picoxr' with 2 vowels and four consonants. Breaking it apart gives three words: pico, x, r. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://picoxr.com

Page Load Overview

1.96s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de-DE
Text Length:2,470 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
68%
corporate business
48%
corporate
35%
documentation technical
33%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1395.101.74.99Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
623.36.162.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6130.44.212.69United States
AS396986Bytedance Inc.
623.32.239.50Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
695.101.74.72Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
671.18.222.1United States
AS396986Bytedance Inc.
623.32.239.26Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6163.181.254.181United States
AS24429Zhejiang Taobao Network Co.,Ltd
623.36.162.209Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
623.53.40.64Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11518--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18ED319B5D63C35BB0A172B986E37AF5DB602B417DD17C893F24EAE6896D7BD40C02084

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+sU+pxs1ze2ebx/c64Jysq7vGEJsfKObWZKWcrB/TuZ5uaN/Mhn3N:+s7r+ewxUFcrpUA9BN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134252:Rg8IJ4xwRyhGFGFECbIIgQASAgCESA3QERYgkwUMhALR2CAkpSIBgNAYSzCkIYCyZGExFMCCEMwKgEQYwYpQnCjCiJNkNKIR

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:ff00001001007f7e
Perceptual Hash:806ac1bbbcc63fc1
Difference Hash:618bea2d35dbe8d6
Wavelet Hash:ff0020141d0b7f7f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data