Security Scan Report: rs.cmcm.com

Submitted: Nov 27, 2025, 2:34:15 PMCompleted: Nov 27, 2025, 2:37:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is rs.cmcm.com and was registered NaN years ago.

Submitted URL: https://rs.cmcm.com/

The Cisco Umbrella rank of the primary domain is #60,073 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No forms or credential collection fields detected
Domain has a Cisco Umbrella ranking of 60073 (within top 100k)
Page returns a standard 404 error, no suspicious content
Domain age information unavailable

Details

Page Title

rs.cmcm.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(40%)

Domain Information

You're looking at domain 'rs.cmcm.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'rs'. Count 4 characters in 'cmcm' holding zero vowels versus 4 consonants. Breaking it apart gives 2 words: cm, cm. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rs.cmcm.com/

Page Load Overview

0.91s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:196 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content40% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
40%
cryptocurrency blockchain
39%
news media journalism
38%
government public service
33%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1150.109.28.127Singapore, Singapore
AS132203Tencent Building, Kejizhongyi Avenue
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E048F77329A063D86558498E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszd2bMy8Oldo:choC9J395CbZgLtSL3gcrsp2eA6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183667:IAMFgaAKADgoAknBorLlEQAacUaAIHIEnjMTQj0hTyASouZySyQb8KgA2BFQFCLkFDegQlgXAdgMIiQJFQBgUASQhlp1igkQ

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:ff7f0303fffffefc
Perceptual Hash:962dd289d22d3c7c
Difference Hash:c0c0164680000004
Wavelet Hash:70700000fcfcfffc
Color Hash:#c2d279

Other Hashes

Crop Resistant:c0c0164680000004

Scan History

Scan history not available

Unable to load historical scan data