Security Scan Report: apse.se

Redirected to:
https://www.skogforsk.se/apse/
Site favicon
Submitted: Sep 28, 2026, 2:30:12 AMCompleted: Sep 28, 2026, 2:30:45 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate Swedish forestry contract-package page served from skogforsk.se; self-branded APSE content, no forms, no impersonation, no malware or threat-intel hits.

Safety Factors (5)
Final URL resides on skogforsk.se, a well-known Swedish forestry research institute
Self-branded page (APSE matches its own domain) — not impersonation
No forms, no login, no payment collection, no malware or obfuscated JavaScript
No threat-intelligence, YARA or network IDS hits against the page or its resources
All JavaScript served from the site's own domain; no third-party script hosts
Domain age information unavailable

Details

Page Title

APSE

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'apse.se' is registered. The second-level label 'apse' is 4 characters long with 2 vowels and 2 consonants. Word splitting yields one word: apse. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apse.se

Page Load Overview

1.21s
Total Load Time
386 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:688 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
104.165.87.80Azure · CLOUDSweden
AS8075Microsoft Corporation
1051.12.31.2Azure · CLOUDSweden
AS8075Microsoft Corporation
202--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E02BF4108F614271367A2C62DF16E296EC3F54BC20B2E0571BC1AADEFCBE029C4716D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:xCXEJtrSM4YZEywrCaM5uzxAjBzB2gxDlEgs+0PxUsRzwb:xUqWM4lSdB7Dlns8k8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8949:CBihWJJwohABFCBSoRIVEmEdaEgJih7UUVYwBkkEEdARgDCAgCEECQBKRtQkIp0nW+AEaCFkCDkoQjE1QkAEAigBJGJVKqjC

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:00ffcfffffffff00
Perceptual Hash:b138474f4f8c63b2
Difference Hash:41989cb29ad23ac9
Wavelet Hash:00c6c6decfefce00
Color Hash:#86492d

Scan History

Scan history not available

Unable to load historical scan data