Security Scan Report: nasum.se

Redirected to:
https://www.nasum.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 2 countries across 12 domains to perform 136 HTTP transactions. The main domain is nasum.se and was registered 13 years ago.

Submitted URL: https://nasum.se

Effective URL:
https://www.nasum.se/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Established Swedish community site is compromised: analyst-vetted ClickFix Win+X Terminal lure, hunting-rule hit and 20 critical EtherHiding IDS alerts deliver malware via a fake verification overlay. Do not visit.

Risk Factors (5)
ClickFix social-engineering overlay ('Performing security verification' / 'Verification successful. Waiting for www.nasum.se to respond') luring users to run terminal commands
EtherHiding malware exfiltration confirmed by 20 critical IDS alerts
Blockchain RPC connections used as malicious script payload hosting
Primary domain (multi-source corroborated) and its own domain flagged as malware by threat intelligence
Legitimate-looking community site content used as a lure/compromised facade
Domain age information unavailable

Details

Page Title

Näsums Byutveckling

Scan Type

public

Domain Name Analysis

Domain 'nasum.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'nasum' is 5 characters long split between 2 vowels and 3 consonants. Word splitting yields 2 words: nasu, m. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Hem —Platsprojekt —-Blimedlem © Nasumsby Karta (7 ~—- Kontakt Vi vardesatter din integritet Vianvander cookies for att forbatra din webbupplevelse, visa personliga annonser eller innehall och analys...

Page Load Overview

13.01s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:5,535 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1646.30.215.39Copenhagen, Capital Region, Denmark
AS51468One.com A/S
1015.197.198.189Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1035.71.129.99Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
10172.66.146.203Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
103.33.196.84Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
103.33.155.121Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
10104.20.24.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10142.215.53.55Washington, District of Columbia, United States
AS15830Equinix (EMEA) Acquisition Enterprises B.V.
1052.223.48.152Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
10172.66.150.162Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13613--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C754C6227971247E207F72CEE0529B0F9197DB83C7966BFAB1F1406543A9C983D932C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:daYD8OyWSvaQQJTY0tF+RJqg2q1EvkX1sTOAvzSW6c8j:daiOa23j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:298601:TDBoKABABmqC2KIkA2Ihh50ALTgA4EGQACDBwM5rA3QJRhCDFcAFhDCtQGgyIUSmzJE4SAE3JZnggpQQgB1aHLJFSWZQQso3

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:ffffff000028fbd3
Perceptual Hash:ec92ec1304dafb98
Difference Hash:82d020e4ddd93726
Wavelet Hash:ffffff000000d3c2
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data