Security Scan Report: claim-rkgen.app

Redirected to: https://claim-rkgen.app/

Submitted: Oct 13, 2025, 4:39:32 PMCompleted: Oct 13, 2025, 4:40:40 PMpubliccompleted
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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 claim-rkgen.app and was registered NaN years ago.

Submitted URL: http://claim-rkgen.app/

Effective URL: https://claim-rkgen.app/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; the site appears to be a harmless 404 page.

Safety Factors
Serves a standard 404 error page
No external links or redirects
No credential or payment collection mechanisms
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'claim-rkgen.app' uses the application-focused generic top-level domain (.app) while skipping any subdomain. Its registrable label 'claim-rkgen' stretches across 11 characters with 3 vowels and seven consonants, along with 1 hyphen. Segmentation suggests 3 words: claim, rk, gen. Expect 3 characters per word on average. 'claim' is most common in English usage. It also appears in Vietnamese and Chinese (Pinyin) contexts. Overall, 'claim-rkgen.app' reads as English with character flair.

Screenshot

Security scan screenshot of http://claim-rkgen.app/

Page Load Overview

15.61s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:267 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.245.184.94Chicago, Illinois, United States
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19821353EC2C1520AE0270164FB91F7982659821291670F713A5EB1B6F6CC0F752936C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:HGD6FJRA3ZsjNQCRtgoLY95Mu56+eMHLFCOXAkRcfRrzd0Ll72rKv:H669j2CZLY5Mc6NMLYzkYKLlOy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1230:AAAAIDAAAAQACAAACQAAAACAAAAAAAAAAAEAAAITAADAAAAAAAAAAAEUAqAAAAAAAgAAAAAAEAAAAEAgAAAAABAAAAIAAAAA

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:ffffe7e7ffffff00
Perceptual Hash:e6a25d9966b26698
Difference Hash:08000c0c10000008
Wavelet Hash:0000040400080300
Color Hash:#2d8646

Other Hashes

Scan History

Scan history not available

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