Security Scan Report: brttodo.se

Submitted: Sep 27, 2026, 12:10:17 PMCompleted: Sep 27, 2026, 12:10:51 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Small self-branded Swedish login page ('Digital ToDo') with its own same-origin form. No Indicators of Compromise, no impersonation, no exfiltration; unranked domain with unknown age keeps it at moderate risk only.

Risk Factors (1)
Login form collects credentials on a domain with no published registration date and no reputation ranking
Safety Factors (5)
Only self-branding present — no impersonation of a different organisation's brand
Form posts to its own domain, not to an external or cloud-storage endpoint
No Indicators of Compromise, no YARA/kit-roster hits, no Suricata phishing or malware alerts
No payment fields, no disguised password fields, no hidden credential harvesting
Simple, coherent application UI consistent with a small software product
Domain age information unavailable

Details

Page Title

Digital ToDo - Inloggning

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'brttodo.se' is registered with no subdomain. The core label 'brttodo' covers 7 characters split between 2 vowels and 5 consonants. Splitting it apart reveals four words: br, t, to, do. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://brttodo.se

Page Load Overview

1.52s
Total Load Time
109 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

Text Length:73 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software47% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
47%
government public service
45%
adult content
43%
entertainment media
35%
news media journalism
32%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1151.12.31.2Azure · CLOUDSweden
AS8075Microsoft Corporation
111--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124220900A875CD2B46229550C061FA861FDA81B7E30656DEB3CC48789B7DEDE8F05BE5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EFsZUrVo9KKrB1zmpEAcz6ei2opJMhq9C4cHQp4Da/DOfse/Uz/:EUUrLppmzfy3N/cHQtish

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10379:xICiAiwag5CUkFmSUX6gAaKSYbEaAjCLBDAQNIR0EDEwJDGgqgSO3IgCAKLGAABR0EAXoRI3QIhQ1AUQFE4pKzGxBGDsAQUA

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:ffffffefffffffff
Perceptual Hash:b323cccc333366cc
Difference Hash:0000080810000000
Wavelet Hash:0f0f0f0f170f0f0f
Color Hash:#a787c5

Other Hashes

Crop Resistant:0000080810000000

Scan History

Scan history not available

Unable to load historical scan data