Security Scan Report: oppen.io

Submitted: Mar 17, 2026, 9:37:13 PMCompleted: Mar 17, 2026, 9:39:03 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 1 HTTP transaction. The main domain is oppen.io and was registered NaN years ago.

Submitted URL: https://oppen.io

The Cisco Umbrella rank of the primary domain is #897,450 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Legitimate ERP site; no threats detected.

Safety Factors
Well‑established domain age
Absence of password or payment fields
No Indicators of Compromise
No malicious JavaScript behavior
Standard hosting with no red flags
Domain age information unavailable

Details

Page Title

öppen · CLOUD ERP · CORE POWER

Scan Type

public

Language

🇪🇸

Spanish

(37% confidence)

Category

corporate business

(99%)

Domain Information

Domain 'oppen.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. The registrable portion 'oppen' spans 5 characters split between two vowels and three consonants. It segments into two words: o, ppen. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oppen.io

Page Load Overview

13.04s
Total Load Time
139
HTTP Requests
16
Domains
7.0 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:37%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:37%
Script Type:Latin
HTML Lang Attribute:en
Text Length:18,717 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

corporate business99% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
99%
technology software
86%
documentation technical
63%
healthcare medical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
17142.251.127.102Switzerland
1713.216.94.72Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
17142.250.201.168United States
AS15169Google LLC
17104.17.25.14Unknown
1734.199.7.206Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
17142.251.141.131United States
AS15169Google LLC
17142.251.140.170United States
AS15169Google LLC
1398--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9936F2068F5256300A351C1BA92AF1BBEE0D20BD72B565472FC4FE92FC7EA6CD13558

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qGzXnaptC4Co7YYQwjfmB2J9Dry93iLnWNDcFsR1k874Qygnmt1XXtXSaLCm9y:jKPC4Co7YZwjUkMyamtuaLCSy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93626:NI7EpTBRIA4aCzGBawlgAQAIaZQAhIAODwMwpiUGVKCVWDBHggsQHAFMSYAfZQICtTiNFUpELmAeqQth4kE4NB5ggHCSQCKg

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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