Security Scan Report: licom.se

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 41 HTTP transactions. The main domain is licom.se.

Submitted URL: https://licom.se

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no malicious indicators.

Safety Factors (4)
Self-branding aligns with domain
Absence of forms and credential collection
No malicious IoC or malware detections
No external redirects or suspicious scripts
Domain age information unavailable

Details

Page Title

Licom — Apps that teach, software that is awesome

Scan Type

public

Domain Name Analysis

The domain 'licom.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The registrable portion 'licom' spans 5 characters split between 2 vowels and three consonants. Breaking it apart gives 2 words: li, com. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

EARNING, PRODUCTS & STUDIO LIC-00 - PUBLIC PORTAL 2026 18 SWEDEN HÖ: LIOS ALways ow HI, I AM LIOS. I HELP RUN THINGS AROUND HERE — PRICES, TIMELINES AND WHAT IS ACTUALLY POSSIBLE. ASK ME ANYTHING....

Page Load Overview

7.41s
Total Load Time
643 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,085 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning45% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
45%
corporate business
35%
technology software
32%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21172.67.194.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20104.21.41.221Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
412--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110A31BED9B3985B9D6C503C97DF40A8525EEC4DF3D20C9A4C7AE9B509CA3DF8902884D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:E69NSVfpO+ISVXTfziJv/a0i/f42GHxvTDwx4rO5V5Wf2aNMlaZs4UuiKi:R9NSVfpO+ISVXTfziJv/a0i/f42GHxvY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104148:AKADAOVZEoow5YABMpcGmCcSzVcwBieAiiBvuAIAExhISjBGKBFsQMEKLZgkDLAEFBRAJIjQTARABwCJNyRYYIIQQ0AGjyIL

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:ff818181818181ff
Perceptual Hash:bf23d08bd48c9173
Difference Hash:2b0b33332b33332f
Wavelet Hash:ff838381818983ff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data