Security Scan Report: rc-kkkk-store.chinalike.ru

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Submitted: Sep 30, 2026, 2:42:34 AMCompleted: Sep 30, 2026, 2:43:26 AMpubliccompleted

This website contacted 16 IPs in 3 countries across 14 domains to perform 97 HTTP transactions. The main domain is rc-kkkk-store.chinalike.ru and was registered 25 years ago.

Submitted URL: https://rc-kkkk-store.chinalike.ru

The Cisco Umbrella rank of the primary domain is #565,229 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Established domain serving an antibot/403 page with self-branded meta, no credential or payment forms, and no threat-intel, YARA or IDS hits — only the redirect chain warrants mild caution.

Risk Factors (2)
8 cross-domain redirects observed before landing on the 403 error page
Site unreachable for the scanner (antibot block), so page content could not be fully verified
Safety Factors (5)
Domain registered 2023-10-01, over 2 years old
Site presents its own brand (name matches domain) — no impersonation detected
No credential-harvesting or payment form present in the DOM
No threat-intel matches against the page or its loaded resources
All JavaScript served from the site's own domain; no cross-origin credential exfiltration
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'rc-kkkk-store.chinalike.ru' uses the Russian country-code top-level domain (.ru) and includes subdomain 'rc-kkkk-store'. The second-level label 'chinalike' is 9 characters long split between four vowels and five consonants. Tokenizing the label suggests 2 words: china, like. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rc-kkkk-store.chinalike.ru

Page Load Overview

0.57s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Text Length:124 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content71% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
71%
technology software
41%
documentation technical
29%
government public service
26%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
75.35.97.31Russia
AS29182JSC IOT
6142.250.154.95Google · CDNUnited States
AS15169Google LLC
6184.24.77.54Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6184.24.77.83Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
613.35.58.123Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
613.35.58.66Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
637.9.64.225Yandex · CLOUDRussia
AS13238YANDEX LLC
6155.212.203.195Moscow, Moscow, Russia
AS47764LLC VK
688.212.201.198Moscow, Moscow, Russia
AS39134Edinaya Set Limited Liability Company
695.163.52.80Russia
AS47764LLC VK
9716--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100D0E79F914E105B5F03139015E52544641711FCB017054CFD4EE443F1D417E8E03448

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:hLn0+1Q9xwIgsozEr6VyF02xxdGzsQWrKR4w9MMJe1QLcXaBmz:hb0+12xBgsozR4F0+dgsQoKDD8QLmaBu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:8511a5f600ce22bc66c5ade77378def8

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:003fffffffffffff
Perceptual Hash:870707070303fbff
Difference Hash:c060000000000000
Wavelet Hash:003fffff00000000
Color Hash:#2d6786

Other Hashes

Crop Resistant:c060000000000000

Scan History

Scan history not available

Unable to load historical scan data