Security Scan Report: saip.se

Redirected to:
https://seegroup.github.io/projects/saip
Submitted: Sep 25, 2026, 4:50:16 PMCompleted: Sep 25, 2026, 4:51:23 PMpubliccompleted

This website contacted 5 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is seegroup.github.io and was registered 13 years ago.

Submitted URL: https://saip.se

Effective URL:

https://seegroup.github.io/projects/saip
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Legitimate academic research group page (SEE/SAIP, Mid Sweden University) on GitHub Pages via a cross-domain redirect from saip.se. No forms, no impersonation of another entity, and no threat-intelligence or malware signals.

Safety Factors
No credential, login, or payment forms on the page (verified from captured DOM)
No threat-intelligence matches, YARA malware, or IDS alerts
Self-branded academic research content consistent with its own title and meta description
No JavaScript credential exfiltration or cross-origin form submission
Domain age information unavailable

Details

Page Title

SAIP · SEE Research Group

Scan Type

public

Domain Name Analysis

You're looking at domain 'saip.se' on the Swedish country-code top-level domain (.se). Count 4 characters in 'saip' with two vowels and 2 consonants. It segments into three words: s, a, ip. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://saip.se

Page Load Overview

1.39s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,197 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
news media journalism
35%
adult content
33%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2194.68.59.38Västerås, Västmanland County, Sweden
AS206170Yelles AB
2185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
105--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4C1E822D2E0053681A282C325E5BB1F3BBBC647F2166968F5AC80D86FD2D49CD37717

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ThR9OOrijoHcdb43j15qCmE4fLtnRn1ZSt564hjitKs:1RcMHcC1MCmdLthe5N+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5655:VExsIhABCABh0QUAAAAAgMRksCYAwBYQgAkhYAQAhIIBAsGkGRB1YAQoNQIDgSAKBBABEIuRBKiIWEAAgBQkgqApAIAEAACJ

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:9f838183c38f8fff
Perceptual Hash:bf689e9ec01f6860
Difference Hash:3123232b036a6c40
Wavelet Hash:9dbe8181818787bf
Color Hash:#53ac93

Other Hashes

Crop Resistant:3123232b036a6c40

Scan History

Scan history not available

Unable to load historical scan data