Security Scan Report: app.debtist.de

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 6 domains to perform 61 HTTP transactions. The main domain is debtist.de and was registered 7 months ago.

Submitted URL: https://app.debtist.de/pay/cmpv8wp78088b01s6vivjms2j/2606-9993-9352

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Debt collection payment page for AnyDesk debt; unranked domain, unverified collector registration, no forms or malware. Verify debt directly with AnyDesk before paying.

Risk Factors (4)
Unranked domain with low legitimacy score and minimal public footprint.
Unverifiable claim of being a registered German debt collector (§ 10 RDG).
Payment request for a third-party brand (AnyDesk) on a non-AnyDesk domain.
Recent domain (232 days) could be part of a fake debt collection scheme.
Safety Factors (4)
No credential or payment form fields on the page itself.
Uses Airwallex, a legitimate payment processor.
No threat-intel, hunting rule, IDS, or malware signals.
Meta title and description align with the Debtist domain (self-branding).
Domain age information unavailable

Details

Page Title

Perform payment | Debtist

Scan Type

public

Domain Name Analysis

Domain 'app.debtist.de' uses the German country-code top-level domain (.de), featuring subdomain 'app'. Its registrable label 'debtist' stretches across 7 characters with two vowels and five consonants. Splitting it apart reveals 3 words: debt, is, t. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.debtist.de/pay/cmpv8wp78088b01s6vivjms2j/2606-9993-9352

Page Load Overview

0.93s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,051 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
65%
finance banking
53%
adult content
50%
government public service
47%
corporate business
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1334.8.241.128Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8104.16.82.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.16.81.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
835.244.207.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
834.49.69.241Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
617--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A92B43CB041547F61334BD575A2AA59B0C2B28ACB59983CF3FF02B457D8ED5A8E4827

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:9P+YlDQ+J3n1L67Tv0y2YLDjWjmarOTbeqL2+OEBGm/icuM5ry7dJJLUJHiEOJWs:c1WSarO/en+OEBGanuM5id6H++G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20480:lABAQDQCKAQQTRoCQUqQ4HRCTQAw04AIIReCVIIBVQiOnFXQSMMQ0CkIwBGgByAHKKiEIxRgfCCBxIAKDEgAII4lCMBEIMHp

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:3f3f3f3f3f3f3f1f
Perceptual Hash:8ff00f6b0ef0070f
Difference Hash:697a6ef8686c696a
Wavelet Hash:001e0f1f1f0f1f1f
Color Hash:06002000180

Scan History

Scan history not available

Unable to load historical scan data