Security Scan Report: gottochblandat.nu

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Submitted: Oct 4, 2026, 1:20:28 PMCompleted: Oct 4, 2026, 1:21:34 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Self-branded small site (title/meta match its own domain) with no forms, no third-party scripts, and no threat-intel, YARA or IDS hits. Domain age is simply unpublished (.nu registry), not a risk signal.

Safety Factors (4)
No credential or payment collection anywhere on the page
No third-party scripts and no cross-origin data flows
No threat-intelligence, YARA, IDS or kit-roster matches
Domain/title alignment consistent with a small self-branded site rather than a spoofed brand portal
Domain age information unavailable

Details

Page Title

Gott & Blandat

Scan Type

public

Domain Name Analysis

You're looking at domain 'gottochblandat.nu' on the .nu country-code top-level domain with no subdomain. The registrable portion 'gottochblandat' spans 14 characters holding four vowels versus 10 consonants. Splitting it apart reveals five words: got, to, ch, bland, at. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gottochblandat.nu

Page Load Overview

25.30s
Total Load Time
199 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Text Length:196 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
government public service
46%
documentation technical
45%
healthcare medical
37%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
82194.9.94.85Sweden
AS39570Loopia AB
80159.253.26.222Stockholm, Stockholm County, Sweden
AS42708Glesys AB
80159.253.26.223Stockholm, Stockholm County, Sweden
AS42708Glesys AB
80194.9.94.86Sweden
AS39570Loopia AB
3224--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15511EF6B6C4A8D8D8410E03068F2E1C82D6FFEA67218A4C4B8D338BF95C9388D81537C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hnMQEdOasxo1WG6QclfhF5U+XUlPKLFnhsOAuqEKBp/24Cwbtk8w+hBYi1klWsLo:hMnsyWGspF2exmOM348GWExbHOF9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:884:BAAAAAAAAAQAAAAEAAAAEAAAAAgAIgABCAAACAAgACAAABAgAAAAAAAACBAAAAAAAAABAAAAQAgAAAAAAAAIAAAACAAAAAAA

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:c000f0f0f0602000
Perceptual Hash:e0f03f3be0c03d78
Difference Hash:9080808484c0c020
Wavelet Hash:f0f0f0f0f0f0f0f0
Color Hash:#e06c6c

Other Hashes

Crop Resistant:9080808484c0c020

Scan History

Scan history not available

Unable to load historical scan data