Security Scan Report: borrowbuddies.se

Redirected to:
https://borrowbuddies.se/auth
Site favicon
Submitted: Sep 28, 2026, 2:00:21 PMCompleted: Sep 28, 2026, 2:00:59 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Self-branded Swedish sharing app showing its own email/password login backed by Supabase. No impersonation, forms, IoC or malware detected; unknown age/unranked only. Caution advised but no clear malicious signal.

Risk Factors (2)
Login form collects email + password (own-app login, no impersonation)
Domain age unknown and unranked, limiting reputation confidence
Safety Factors (5)
Self-branding detected — title/meta match the domain, no impersonation of another entity
No cross-origin form submissions and no credential exfiltration detected
No Indicators of Compromise, YARA malware, or Safe Browsing threats
All JavaScript served from the site's own domain; only Supabase contacted for auth
Content and category (social/sharing app) consistent with a genuine product login page
Domain age information unavailable

Details

Page Title

BorrowBuddies - Track What You Share

Scan Type

public

Domain Name Analysis

Domain 'borrowbuddies.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The core label 'borrowbuddies' covers 13 characters split between five vowels and 8 consonants. Splitting it apart reveals two words: borrow, buddies. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://borrowbuddies.se

Page Load Overview

1.64s
Total Load Time
218 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:234 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network53% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
53%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7216.198.79.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
71--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ECA2A740744C12786D3FDA58FEC8A32CA125F042EEA74426A10D149EE6D3FF535FAB99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KXO8U5Q6nBOmEAUU/cxksc64Jysq7vGNzPx9u+Y79++YB:qsnB7cxksc64Jysq7vGNDu+YZxYB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21936:agEIwJIsQGCtVRAExAyKmAEoACzBVQBQVOhABiEpFFMQfUAOkMAcgApUO8AFCNC0BSAEnBQRKvwCEIAlWZBS2kmoi4hYFKYD

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:00011b1f1f1f3f7f
Perceptual Hash:8859336699d9ce66
Difference Hash:fffff3b3f3f3ffff
Wavelet Hash:00011b1b1f1f3f7f
Color Hash:#99bf40

Other Hashes

Crop Resistant:fffff3b3f3f3ffff

Scan History

Scan history not available

Unable to load historical scan data