Security Scan Report: sst-mobileapp.de.scalable.capital

Submitted: Mar 6, 2026, 4:10:11 AMCompleted: Mar 6, 2026, 4:11:30 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is sst-mobileapp.de.scalable.capital and was registered NaN years ago.

Submitted URL: https://sst-mobileapp.de.scalable.capital

The Cisco Umbrella rank of the primary domain is #213,786 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

sst-mobileapp.de.scalable.capital

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(61%)

Domain Information

The domain 'sst-mobileapp.de.scalable.capital' uses the .capital top-level domain and includes subdomain 'sst-mobileapp.de'. The core label 'scalable' covers 8 characters containing three vowels alongside 5 consonants. Splitting it apart reveals 1 word: scalable. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sst-mobileapp.de.scalable.capital

Page Load Overview

0.70s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:179 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking61% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
61%
cryptocurrency blockchain
57%
corporate business
56%
real estate property
55%
documentation technical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.127.5.139Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszV2bMy8Oldr:6hoC9JSqzzbs6o3Sj3gcrsJ2eAx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184475:QAYcghyiFJEGJiOIQESmCyLDYBhVoQwDBg4XFiokRBAATg4CAAxVDAjII6EuoRGjTLKEHpRgMKAEOIQ5RCk8SGQGEKU4zEtA

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:f0d0c4f0f0f0f0f0
Color Hash:#3e931f

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data