ScanMalware.com

Security Scan Report: github.se

Redirected to:
https://www.github.se/
Site favicon
Submitted: Sep 26, 2026, 4:00:17 AMCompleted: Sep 26, 2026, 4:01:17 AMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5b1673a6-a0ee-4e37-a895-20604bd683a8Domain and IP registration (RDAP)/api/v1/rdap/5b1673a6-a0ee-4e37-a895-20604bd683a8Certificate Transparency/api/v1/ct/github.seHow often this domain was scanned/api/v1/domain/stats/github.seScan history for this domain/api/v1/domain/history/github.se?limit=15

This website contacted 17 IPs in 1 country across 13 domains to perform 92 HTTP transactions. The main domain is github.se and was registered 23 years ago.

Submitted URL: https://github.se

Effective URL:

https://www.github.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Established Swedish blog about GitHub and programming; no credential/payment forms, no threat-intel hits. Domain uses the GitHub name unofficially, but content is informational, not phishing.

Risk Factors (2)
Domain name uses the 'github' brand without official affiliation, and domain is unranked in Cisco Umbrella.
5 eval() calls in JavaScript (dynamic code execution), though likely from third-party ad/analytics scripts.
Safety Factors (4)
Domain age over 2 years and well-established.
Self-branding matches the domain (Github.se), not impersonating a different entity's official site.
No credential or payment form; only a standard contact form.
No threat-intelligence, YARA, network IDS, or credential-exfiltration indicators.
Domain age information unavailable

Details

Page Title

Github.se

Scan Type

public

Domain Name Analysis

The domain name 'github.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'github' spans 6 characters with 2 vowels and four consonants. Segmentation suggests three words: g, it, hub. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://github.se

Page Load Overview

6.06s
Total Load Time
932 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:8,384 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
73%
social media network
66%
adult content
64%
healthcare medical
57%
documentation technical
49%

Detected Features

Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.251.14.121Google · CDNUnited States
AS15169Google LLC
5216.239.34.21Google · CDNUnited States
AS15169Google LLC
5142.251.20.138Google · CDNUnited States
AS15169Google LLC
5142.250.154.94Google · CDNUnited States
AS15169Google LLC
5142.251.127.157Google · CDNUnited States
AS15169Google LLC
5142.251.20.94Google · CDNUnited States
AS15169Google LLC
5192.178.183.132Google · CDNUnited States
AS15169Google LLC
5192.178.183.191Google · CDNUnited States
AS15169Google LLC
5142.251.20.157Google · CDNUnited States
AS15169Google LLC
5142.251.127.132Google · CDNUnited States
AS15169Google LLC
9217--

Detected Technologies4

MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Google Analytics
55%
Google AdSense
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2E32AB35511292E93734CC9B1D1FB8A7A158013C68244CFF9FAB26C93D6DE3662A31D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XKqqN/kWW+PbITkx8HeLZDUieC+HK6dGApb:6pt6+kTtO2imfdGApb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151791:AEiArzAA1DSpBAVzGgIQ4AgFUIpnQA1AAXEAqRagwhDQkbYADA0AcEBZWCgGUkyJcAbVJkKR0UCQAFtlAah5E4kKh7gUsOBB

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:f7ffffffffefcf00
Perceptual Hash:f1c608f14ef946b1
Difference Hash:242424300c1c1e71
Wavelet Hash:c0f6e6fec2cec200
Color Hash:#7a2dd2

Other Hashes

Crop Resistant:242424300c1c1e71,0c70626060626004

Scan History

Scan history not available

Unable to load historical scan data