Security Scan Report: salzburgcapital.app

Submitted: Apr 24, 2026, 11:55:19 AMCompleted: Apr 24, 2026, 11:56:38 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is salzburgcapital.app and was registered NaN years ago.

Submitted URL: https://salzburgcapital.app/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New, unranked domain hosting a credential login form; classified as confirmed phishing scam.

Risk Factors
New domain (<7 days) with credential collection form
Unranked domain reputation
Self‑branded on a newly registered domain
Domain age information unavailable

Details

Page Title

Salzburg Capital — Underwriting Tool

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(43%)

Domain Information

Within the application-focused generic top-level domain (.app), 'salzburgcapital.app' is registered without a subdomain. The core label 'salzburgcapital' covers 15 characters with 5 vowels and ten consonants. Segmentation suggests 2 words: salzburg, capital. The median word length lands at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://salzburgcapital.app/

Page Load Overview

1.01s
Total Load Time
5
HTTP Requests
2
Domains
30 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:7,473 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical43% confidence
Type: webapp
Method: ml+structural

All Detected Categories

healthcare medical
43%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.16.174.226United States
AS13335Cloudflare, Inc.
282.25.87.152Northampton, England, United Kingdom
AS47583Hostinger International Limited
52--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D74067131B1143525878CE8A67A8F563A20E203F503D6A07A9C65E08FFADA5DC7F6DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TjKvq08v79a8a5GwI5pXt+q25P3TkmtgpfFQsCHQyJPxnhqhOZA:3Kvq0c7+GwI5KPj3tgptQXhqR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:343936:4QUYlAhhaoCkgonqICABigZDJASgZhDmkyKgAwGkIGhYm50gJJZGBGFEbQAIDGgqFVINAIKVC1IHcihQyNQATRUB9UnAEAQl

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:ffffe7ffe7e7ffff
Perceptual Hash:b38ccc3399cc6666
Difference Hash:00004c304c4c3008
Wavelet Hash:f3f3e7ef20203030
Color Hash:#8479d2

Other Hashes

Crop Resistant:00004c304c4c3008

Scan History

Scan history not available

Unable to load historical scan data