Security Scan Report: consentmo-geo.com

Redirected to:
https://www.consentmo.com/
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Submitted: May 14, 2026, 3:16:28 PMCompleted: May 14, 2026, 3:18:10 PMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 16 domains to perform 62 HTTP transactions. The main domain is consentmo.com and was registered NaN years ago.

Submitted URL: https://consentmo-geo.com

Effective URL: https://www.consentmo.com/Redirected

The Cisco Umbrella rank of the primary domain is #19,696 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows low risk overall but critical IDS alerts suggest possible malware activity; avoid interacting with it.

Risk Factors
Critical IDS alerts indicating possible malware activity
High JavaScript obfuscation score
Safety Factors
Established domain (>3 years) with reputable ranking
No credential or payment collection forms
No brand impersonation or malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Consentmo: GDPR & CCPA Compliance for Shopify Stores

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

Within the commercial generic top-level domain (.com), 'consentmo-geo.com' is registered and has no subdomain. The registrable portion 'consentmo-geo' spans 13 characters containing five vowels alongside 7 consonants; bonus characters include 1 hyphen. Splitting it apart reveals three words: consent, mo, geo. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://consentmo-geo.com

Page Load Overview

6.37s
Total Load Time
100
HTTP Requests
21
Domains
1.2 MB
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:8,676 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
80%
e-commerce shopping
70%
documentation technical
52%
education learning
46%
government public service
37%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16143.198.251.218Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
63.127.87.118Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6142.250.154.95United States
AS15169Google LLC
6185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
6185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
6142.251.110.97United States
AS15169Google LLC
6104.18.161.117United States
AS13335Cloudflare, Inc.
6142.251.20.94United States
AS15169Google LLC
6142.251.152.119United States
AS15169Google LLC
6104.26.13.106United States
AS13335Cloudflare, Inc.
10015--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA93B676C684102B03838AD9E3B17F5EB6D7824EDA434CD163F947845BC2CE9C9B9E46

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DBZ3x0vq9k1+q+CMTSF90Unvc14YBhMfO5EHg5yEkg1:6SmUB2fzHS1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94587:RmjQIWwMAgglCEmLEJVAFCHxWGaFXdcAloB8CxCDACkUogBhACJI+JkJAIHRYAARSA4EkAA4oszQIEPIGAAASBgCNgVqAiBm

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:21ffffff8f8fffff
Perceptual Hash:9b4b4b1b4b4b4b1a
Difference Hash:4900110038380000
Wavelet Hash:80fecece8e00cece
Color Hash:#acd279

Other Hashes

Crop Resistant:4900110038380000

Scan History

Scan history not available

Unable to load historical scan data