Security Scan Report: op.se

Redirected to: https://www.op.se/

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Submitted: Jan 15, 2026, 7:42:55 AMCompleted: Jan 15, 2026, 7:44:43 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 11 domains to perform 40 HTTP transactions. The main domain is op.se and was registered NaN years ago.

Submitted URL: https://op.se

Effective URL: https://www.op.se/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news site with no apparent security concerns.

Safety Factors
Well‑established domain
No credential or payment collection
No malicious Indicators of Compromise
Secure HTTPS connection
Domain age information unavailable

Details

Page Title

Östersunds-Posten – Nyheter Dygnet Runt

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

news media journalism

(38%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'op.se' is registered with no subdomain. Its registrable label 'op' stretches across 2 characters holding 1 vowel versus one consonant. Splitting it apart reveals one word: op. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://op.se

Page Load Overview

2.11s
Total Load Time
47
HTTP Requests
12
Domains
956 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:16,422 chars
Detector Agreement:60%

Website Classification

Primary Category

news media journalism38% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1234.149.45.230Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
718.66.112.73United States
AS16509AMAZON-02
7142.250.185.98United States
734.149.169.35Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
723.212.211.47Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
7146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
476--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192A408738590663DF37B06CCA57437AE3643A10AFA1648D6B1DC8B8A6BC2DD28D1713D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2Rpnsmr2rp2JiD5PSBv70cazTrYazfXHDOQEHQQu1zDjCtRDpE6b:PzDE4cazfYazfXHxNDjCtRdE6b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:487706:ABn0QlQOzYEsjxZqAqgkgsAgADCEAWGCIUTCcGicgMhhQCAJNnZEtHFYE4QCJlAgKAAGDEAmAKAy4KWoDJqDAMoN1CJAQQUF

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:009d9d9d9d9d9500
Perceptual Hash:9c9b633e3866c338
Difference Hash:4d33323aba2125da
Wavelet Hash:001c9f9f9f9f9700
Color Hash:#782d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data