ScanMalware.com

Security Scan Report: uc.se

Redirected to:
https://www.uc.se/
Site favicon
Submitted: Sep 24, 2026, 4:00:35 AMCompleted: Sep 24, 2026, 4:01:48 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/02fddcac-525c-4c02-a147-c3b6c216735eDomain and IP registration (RDAP)/api/v1/rdap/02fddcac-525c-4c02-a147-c3b6c216735eCertificate Transparency/api/v1/ct/uc.seHow often this domain was scanned/api/v1/domain/stats/uc.seScan history for this domain/api/v1/domain/history/uc.se?limit=15

This website contacted 47 IPs in 6 countries across 30 domains to perform 154 HTTP transactions. The main domain is uc.se and was registered 29 years ago.

Submitted URL: https://uc.se

Effective URL:

https://www.uc.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

UC.se is the long-established official site for Swedish credit information company UC, with no credential/payment harvesting, impersonation, IoC, or malware evidence.

Safety Factors (5)
Established domain age of 30 years
Official domain matches self-branded content
No credential or payment forms
No Indicators of Compromise or JavaScript malware detected
No cross-origin credential exfiltration
Domain age information unavailable

Details

Page Title

UC - Ledande på affärs- och kreditinformation - UC

Scan Type

public

Domain Name Analysis

The domain 'uc.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The core label 'uc' covers 2 characters with one vowel and 1 consonant. Splitting it apart reveals 1 word: uc. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uc.se

Page Load Overview

6.09s
Total Load Time
7.5 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:24,958 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
63%
documentation technical
56%
corporate business
28%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16193.15.56.132Sweden
AS1257Tele2 SWIPnet
3150.171.110.56Azure · CLOUDUnited States
AS8075Microsoft Corporation
3104.18.36.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3150.171.110.49Azure · CLOUDUnited States
AS8075Microsoft Corporation
351.158.227.247Haarlem, North Holland, Netherlands
AS12876Scaleway SAS
3104.18.208.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.207.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.127.157Google · CDNUnited States
AS15169Google LLC
3142.251.127.155Google · CDNUnited States
AS15169Google LLC
3142.251.127.154Google · CDNUnited States
AS15169Google LLC
15447--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108519E8FB488C80B5C9049B465D07CF8D420622FE5B8E9F9BEED07BD2BB0696B0414CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hCEUYAPPXR/xx5alBL/Cl0WxbeQGbsiP/zcAp9xd7LsgOG:gl5/4B+l0WIjjAA77v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2540:ASABSASAABAChgAICHAAAEgEAgAiAAwAEAAAAAAAMIhAIgAAAEIABCAAgACKAAMAIAAEQAAgJAIAAoBEAgEgBAwBUADgACAQ

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:00181c1c3c3c1800
Perceptual Hash:9c9863c76339cb64
Difference Hash:0f3231303171330f
Wavelet Hash:009f9fbfbf3c1800
Color Hash:#1f8293

Other Hashes

Crop Resistant:ae0f76f8a5a5d594,0f3231303171330f

Scan History

Scan history not available

Unable to load historical scan data