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Security Scan Report: rawkuma.net

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/c3608019-057a-4ebd-a436-de2e18cde6eeDomain and IP registration (RDAP)/api/v1/rdap/c3608019-057a-4ebd-a436-de2e18cde6eeHow often this domain was scanned/api/v1/domain/stats/rawkuma.netScan history for this domain/api/v1/domain/history/rawkuma.net?limit=15
This website contacted 16 IPs in 3 countries across 10 domains to perform 118 HTTP transactions. The main domain is rawkuma.net and was registered 2 years 10 months ago.

Submitted URL: https://rawkuma.net/

The Cisco Umbrella rank of the primary domain is #306,056 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established self-branded manga reading site with no credential/payment forms, no threat-intel, malware, or IDS hits; no impersonation detected.

Safety Factors (5)
Established domain over two years old
Self-branding detected, not brand impersonation
No credential or payment forms
No Indicators of Compromise or malware detections
No cross-origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Rawkuma – Read Raw Manga Online Hiqh Quality

Scan Type

public

Domain Name Analysis

Domain 'rawkuma.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. The core label 'rawkuma' covers 7 characters split between three vowels and 4 consonants. Breaking it apart gives two words: raw, kuma. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rawkuma.net/

Page Load Overview

1.69s
Total Load Time
13.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:18,858 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
89%
education learning
62%
phishing scam
38%
blog personal website
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.14.97Google · CDNUnited States
AS15169Google LLC
7192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
7172.66.144.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7195.201.153.71Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
7172.66.129.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7216.239.34.36Google · CDNUnited States
AS15169Google LLC
7149.56.240.27Montreal, Quebec, Canada
AS16276OVH SAS
7188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.20.97Google · CDNUnited States
AS15169Google LLC
11816--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19184E8766241127E0A2787F877A07B2C906BF6ADCA73C8E8F37D0364B3C5CE66541A45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MXnPmCx6VVHTks7q47fz4Fwa11duFuFuFBTdJk:MXek

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:376436:cHqxwEQjawjJ7HsgYQAigOhKUQKcPATYCtCQTJ0ESEQEtAQIA4QYElyMQQCFQEUkA9UAAU6iGcGwI4EFJpYUkNr2QEIARAAQ

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:003c3c7c7c7e3c00
Perceptual Hash:92927dc4696dc16b
Difference Hash:dce8f8d8c8e4f4d2
Wavelet Hash:047e7c7c7c7e3c00
Color Hash:#79a4d2

Other Hashes

Crop Resistant:73b1b0f0f5ec9296,0010215d59640000,926234346c642c2c,ccccdcd8c4c4cec8,dce8f8d8c8e4f4d2

Scan History

Scan history not available

Unable to load historical scan data