Security Scan Report: mobilelocator.cu.ma

Submitted: Completed: publiccompleted
This website contacted 13 IPs in 2 countries across 9 domains to perform 250 HTTP transactions. The main domain is cu.ma and was registered 11 years ago.

Submitted URL: https://mobilelocator.cu.ma/?gO6SZt8BXTQezTxxwk=

The Cisco Umbrella rank of the primary domain is #949,047 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

A fake 'phone locator' service charging users to track people and read their messages without consent — a technically impossible, deceptive advance-fee offer. Avoid payment and do not enter personal data.

Risk Factors (4)
Promises phone tracking and message interception without target consent — deceptive, technically impossible claim
Collects payment before delivering any verifiable result (advance-fee pattern)
Crypto payment endpoints embedded in the page
Manufactured reviews and trust badges used as reassurance
Safety Factors (6)
Domain is 11 years old (registered 2015) and well established
No credential, password or payment form fields present in the DOM (0 forms)
No Indicators of Compromise matches
No JavaScript hunting rule malware patterns and no known phishing kit signature
Only a benign MEDIUM IDS informational alert (ZeroSSL certificate)
Established domain (4212 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Global Phone Locator - Real-time Map Tracking

Scan Type

public

Domain Name Analysis

Domain 'mobilelocator.cu.ma' uses the Moroccan country-code top-level domain (.ma); it also runs on subdomain 'mobilelocator'. The registrable portion 'cu' spans 2 characters holding one vowel versus one consonant. Breaking it apart gives 1 word: cu. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

DOD (@ We operate 24/7] Today vodafone ann airtel Telefonica america T-Mobile- orange Leal AT&T ‘China Mobile mévil etisalat Mobile-Locator (Ome jor ex |e] viome Features FAQ. Reviews * ~ PROFESSIO...

Page Load Overview

4.47s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:18,675 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software57% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
57%
adult content
35%
government public service
29%
healthcare medical
26%
finance banking
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2269.164.250.130United States
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19104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.21.31.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19142.251.14.94Google · CDNUnited States
AS15169Google LLC
19146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
19104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25013--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A834C87121B2007749AFC1D9A6569B0AA9E1F207ED16C84DFBEC03D80FDBE69EC53158

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FyhHh0EgXo1bAp18WRmLXt3+EOhgJBEFzFygZV177J:FyhHhhpxApx0LXt3+EO7DjN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:234217:YSAmGCEbACRCEHh6ggQX0UAEkxSBBQgYDhFQQMGzyBlk0EhcFPogBwhQJjUmQaC0RCWZ+McDwMJoCCAGIwBlhCba9EAhHoCj

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:007f03ffdf81ffff
Perceptual Hash:b925417a47473975
Difference Hash:c69616e3333bc39a
Wavelet Hash:00070333f181ffff
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data