Security Scan Report: krakne-logien.zapier.app

Redirected to:
https://krakne-logien.zapier.app/
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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 18 HTTP transactions. The main domain is zapier.app and was registered 4 years 1 month ago.

Submitted URL: http://krakne-logien.zapier.app/

Effective URL:
https://krakne-logien.zapier.app/
Redirected

The Cisco Umbrella rank of the primary domain is #78,534 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Page shows a 404 error, has no forms or malicious indicators; only a Safe Browsing social engineering flag raises mild concern.

Risk Factors (1)
Safe Browsing social engineering flag
Domain age information unavailable

Details

Page Title

Forms

Scan Type

public

Domain Name Analysis

Domain 'krakne-logien.zapier.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'krakne-logien'. The second-level label 'zapier' is 6 characters long split between 3 vowels and three consonants. Tokenizing the label suggests 2 words: za, pier. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

D Error Your page could not be found (error 404). Back to home

Page Load Overview

3.23s
Total Load Time
456 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:66 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
39%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.239.109.1United States
AS16509Amazon.com, Inc.
976.76.21.21Walnut, California, United States
AS16509Amazon.com, Inc.
182--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0B3FA06BAC8D627C6C75C4BB5BF6E3AB886E02507C140BC7AFDC14902554F4EBBBA51

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yeSSEGfkE0cCaU56V0ngn9bfiKyafY4TZc:yeSY/K58PYwu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108177:7IgFBGEAnwQgIsC8pAERCaWCN0MS6ABNwkRilERA1KAEyAJQsCEEICXpCGKMI1RRVoSJCEKIJNAQjQjAAHYpQESAeWkDMDJY

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:0000003c3c000000
Perceptual Hash:93336ccc93336ccc
Difference Hash:0000146868140000
Wavelet Hash:0f0f0f3f3c0c0c0c
Color Hash:N/A

Other Hashes

Crop Resistant:0000146868140000

Scan History

Scan history not available

Unable to load historical scan data