Security Scan Report: www.feber.se

Redirected to: https://feber.se/

Submitted: Jan 13, 2026, 1:24:13 PMCompleted: Jan 13, 2026, 1:29:25 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 16 domains to perform 50 HTTP transactions. The main domain is feber.se and was registered NaN years ago.

Submitted URL: https://www.feber.se

Effective URL: https://feber.se/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Site mentions major brands but does not belong to them; treat as informational and verify independently.

Risk Factors
Brand impersonation / typosquatting (non‑official domain showing major brand names)
Safety Factors
Domain age > 20 years (well‑established)
No credential or payment forms detected
No malicious Indicators of Compromise matches
No external links or redirects to suspicious sites
Domain age information unavailable

Details

Page Title

Feber

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

technology software

(56%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.feber.se' is registered with subdomain 'www'. Its registrable label 'feber' stretches across 5 characters holding 2 vowels versus three consonants. Word splitting yields two words: feb, er. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.feber.se

Page Load Overview

0.99s
Total Load Time
72
HTTP Requests
17
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:15,307 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
56%
adult content
40%
entertainment media
36%
e-commerce shopping
35%
forum
25%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3246.21.97.151Sweden
AS42708Glesys AB
7216.58.206.86United States
AS15169GOOGLE
5185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
513.33.52.91New York, New York, United States
AS16509AMAZON-02
53.160.150.36United States
AS16509AMAZON-02
5172.217.20.130United States
AS15169GOOGLE
563.182.0.58Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5142.250.184.194United States
AS15169GOOGLE
53.171.214.105United States
AS16509AMAZON-02
5104.20.32.59United States
AS13335CLOUDFLARENET
7214--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12FF46C91FBCCA527815720F96CAA724D623D6033D9C149E5FD95482EDCCC9AC1239BBC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:C9+yEsO7eL58NvSXy8G6RujcHX6MQ47GK4UEp+98fghg/RFltVQS4DWiWUr:C9JEsOOAvSXywRuI36J9pR6gd6WRUr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:737042:IAnCGCVFAiqCqCGmyAqIRjFBaVSIBePmSAAZACAAAdpKAFvAcAHwgcpo0ce0gTMAR8BXpcMBxMIQgjDCCgR8BBFDyBABUAxm

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:001a00003c3c3c3c
Perceptual Hash:823c6dd25b7269c3
Difference Hash:09f4d76969696969
Wavelet Hash:017f393c3c3c3c3c
Color Hash:#bd40bf

Scan History

Scan history not available

Unable to load historical scan data