Security Scan Report: klausapp.com

Redirected to:
https://www.zendesk.de/service/quality-assurance/#
Site favicon
Submitted: May 5, 2026, 6:48:26 PMCompleted: May 5, 2026, 6:50:15 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 241 HTTP transactions. The main domain is zendesk.de and was registered NaN years ago.

Submitted URL: https://klausapp.com

Effective URL: https://www.zendesk.de/service/quality-assurance/#Redirected

The Cisco Umbrella rank of the primary domain is #428,842 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site impersonates Zendesk on an unrelated, low‑ranked domain but lacks credential collection; moderate risk.

Risk Factors
Brand impersonation (brand name in meta tags does not match domain)
Low Cisco Umbrella ranking for a major brand
Presence of a sign‑up form on a non‑brand domain
Safety Factors
Domain is well‑established (over 10 years old)
No malicious Indicators of Compromise detected
No JavaScript malware patterns or IDS alerts
Cross‑origin form appears to be a legitimate SSO to zendesk.de
Domain age information unavailable

Details

Page Title

Zendesk: AI-Powered Workforce Management Software

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(99%)

Domain Information

You're looking at domain 'klausapp.com' on the commercial generic top-level domain (.com). The second-level label 'klausapp' is 8 characters long split between three vowels and 5 consonants. Word splitting yields two words: klaus, app. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://klausapp.com

Page Load Overview

6.69s
Total Load Time
131
HTTP Requests
14
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de-DE
Text Length:23,986 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software99% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
99%
government public service
94%
documentation technical
92%
corporate business
83%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1934.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
14216.198.54.3United States
AS209242Cloudflare London, LLC
14104.18.32.68United States
AS13335Cloudflare, Inc.
14142.251.13.97United States
AS15169Google LLC
14104.18.0.22United States
AS13335Cloudflare, Inc.
14172.64.153.205United States
AS13335Cloudflare, Inc.
14104.18.192.124United States
AS13335Cloudflare, Inc.
1418.64.16.148United States
AS16509Amazon.com, Inc.
1434.102.145.96Kansas City, Missouri, United States
AS396982Google LLC
1319--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB94C6E0D1162035022347CDF5B27B58D2B2F25BE25DD088F9F989B583CFDA5B83964A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cB6g9jLps8FXH5U/TzFEgAf7m4gX/lWLH5I8dipUUg7OpsUzhfQ8XUruu82uGNPM:cB6GjhcUw8rcDEakLi/p9q2YUf6Js

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:443719:MCnIlMcSfAAIBIikCICEgsJB0SUYUnOBiCQDglLAgIhBLIoIwIbA0IOYgAowQAGhlLyiWwEAhEhamCmmIfgAEAkYQREQQUyF

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:fdfff98989f9fbff
Perceptual Hash:e95294351a6d6dd2
Difference Hash:0149035311534301
Wavelet Hash:80fdf9090181b9ff
Color Hash:#2d5c86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data