Security Scan Report: op.se

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

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Submitted: Jan 15, 2026, 7:43:22 AMCompleted: Jan 15, 2026, 7:45:25 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 11 domains to perform 1 HTTP transaction. 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 security concerns.

Safety Factors
Well‑established domain (>30 years)
Standard news website content
No credential or payment collection forms
No malicious Indicators of Compromise
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

Domain 'op.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The core label 'op' covers 2 characters with one vowel and 1 consonant. Segmentation suggests one word: op. Expect two 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
45
HTTP Requests
12
Domains
966 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:16,370 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
10142.250.185.98Germany
7146.75.121.91Sweden
734.149.169.35Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
718.66.112.36Unknown
723.67.132.201Unknown
734.149.45.230Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
456--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148A408738550663DF37B06CCA5B437AE3643A10AFA5648D6B1DC8B8A6BC2DC28D1713D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2Rpnsmr2rp2JiD5PSBv70cazTrYazfXHpfQWHQQ/3xDjCtRJpE6b:PzDE4cazfYazfXHtBDjCtRLE6b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:489985:EoMIJAgkoS0JDBgSomgKGE4akBlAAEAQAYHwCdINCqCQBUZTAeBQEAhEFCg8O1xoAWkYG7MEjwQGEAJQSUZYUhA4DETjFCAc

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:#c0c587

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data