ScanMalware.com

Security Scan Report: gasip.se

Redirected to:
https://www.gasip.se/
Submitted: Sep 30, 2026, 8:10:12 PMCompleted: Sep 30, 2026, 8:11:18 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3a60c055-683c-4990-82f8-891108044fecDomain and IP registration (RDAP)/api/v1/rdap/3a60c055-683c-4990-82f8-891108044fecCertificate Transparency/api/v1/ct/gasip.seHow often this domain was scanned/api/v1/domain/stats/gasip.seScan history for this domain/api/v1/domain/history/gasip.se?limit=15

This website contacted 39 IPs in 4 countries across 25 domains to perform 331 HTTP transactions. The main domain is gasip.se and was registered 18 years ago.

Submitted URL: https://gasip.se

Effective URL:

https://www.gasip.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate 16-year-old Swedish gas products webshop with self-branding and no phishing, malware, or credential-harvesting indicators.

Safety Factors (5)
Established domain age of 6095 days
Self-branding matches the domain, not brand impersonation
No password, payment, or credential-harvesting fields
No Indicators of Compromise or malicious JavaScript detected
Uses normal third-party services like Shopify and Google Analytics
Domain age information unavailable

Details

Page Title

Gasolkopplingar på nätet – Gasip

Scan Type

public

Domain Name Analysis

The domain name 'gasip.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Count 5 characters in 'gasip' holding two vowels versus three consonants. Word splitting yields two words: gas, ip. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gasip.se

Page Load Overview

7.89s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:13,260 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping59% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
59%
documentation technical
45%
government public service
34%
corporate business
30%
adult content
26%

Detected Features

Search
Articles
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2723.227.38.74Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
823.227.38.65Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
823.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
823.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
8142.251.14.97Google · CDNUnited States
AS15169Google LLC
8104.21.53.150Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8172.67.214.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
834.160.147.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8142.250.154.156Google · CDNUnited States
AS15169Google LLC
8142.251.152.119Google · CDNUnited States
AS15169Google LLC
33139--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181D4F681E4F4BCB1042743FAD1A86B267BD9B243E7A10CA0B69C5B6C1F85FE56D2740D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:92zHnJrcjkuQA/N2hZ7dMEYNvzxjIhM1o5uqPPeBryrhr+rqirNrsd7rfrzr/rni:9oG1Sn0rWdFc5H2ix8XhDvXI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:619437:IBqSoBgJFQUkA0U6TFATCIGmRGBophBCQOilATKQA8TvGCKYCQSCBUGIRBtIDSpBIAUDGCRcgAE5JACxEA4CAQbDZCqALgAC

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

Unable to load historical scan data