Security Scan Report: www.betpawa.cm

Redirected to: https://www.betpawa.cm/event/31100183?filter=all

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Submitted: Nov 22, 2025, 10:00:26 PMCompleted: Nov 22, 2025, 10:01:55 PMpubliccompleted
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Summary

This website contacted 59 IPs in 5 countries across 21 domains to perform 86 HTTP transactions. The main domain is betpawa.cm and was registered NaN years ago.

Submitted URL: https://www.betpawa.cm/event/31100183

Effective URL: https://www.betpawa.cm/event/31100183?filter=allRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Bet on Independiente Santa Fe - Fortaleza FC | 23:00 Sat 22/11 | Primera A, Clausura | Colombia | Football | betPawa Cameroon

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

gambling betting

(65%)

Domain Information

Domain 'www.betpawa.cm' uses the .cm country-code top-level domain; it also runs on subdomain 'www'. The registrable portion 'betpawa' spans 7 characters holding 3 vowels versus 4 consonants. Segmentation suggests 2 words: bet, pawa. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.betpawa.cm/event/31100183

Page Load Overview

0.31s
Total Load Time
86
HTTP Requests
21
Domains
1.4 MB
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:5,958 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting65% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
65%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2813.35.58.39United States
AS16509AMAZON-02
1823.62.220.148Vienna, Vienna, Austria
AS16625AKAMAI-AS
8104.18.34.49United States
AS13335CLOUDFLARENET
434.8.38.243Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
335.201.112.186Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2142.250.185.232United States
AS15169GOOGLE
213.35.58.8United States
AS16509AMAZON-02
254.84.251.220Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.16.79.73United States
AS13335CLOUDFLARENET
113.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
8659--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130A430A1B264253B213BCBEDA6564B2521F6F38FE7C740D006BE4B740EE7C79B995801

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NCTqxARYhDZr+oAkrL7qEXVZvFcvkaIYKASBsVxSIejm3iuEEB4K7m3iune9cl3v:LF+oN7Z3IYP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:477871:mPDEYIgKCTSUQAQKeRq5oYAjIDlJEAzCQEIvU0GaQGxqtANNgFZncASwCC2DNw5QlBCh6YCRCmRMgfEQFbP4OINBFLI0QEEA

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:040c3c3c3c3c3c3c
Perceptual Hash:923032316dcdcfcd
Difference Hash:5979616161696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#8b79d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data