Security Scan Report: cvoy7sjb47uwc.mocha.app

Submitted: Dec 4, 2025, 1:51:57 AMCompleted: Dec 4, 2025, 1:52:38 AMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 7 domains to perform 11 HTTP transactions. The main domain is cvoy7sjb47uwc.mocha.app and was registered NaN years ago.

Submitted URL: https://cvoy7sjb47uwc.mocha.app/

AI Security Verdict

Low Risk

Confidence: 72%

4
Risk Score

Login page on a well‑established but unranked domain; no clear malicious signs, low risk.

Risk Factors
Credential‑harvesting form on an unranked domain
Safety Factors
Domain has been registered for over 5 years
No external links or redirects
No brand impersonation or trademark misuse
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Web Mail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(40%)

Domain Information

Within the application-focused generic top-level domain (.app), 'cvoy7sjb47uwc.mocha.app' is registered, featuring subdomain 'cvoy7sjb47uwc'. The registrable portion 'mocha' spans 5 characters holding 2 vowels versus three consonants. Breaking it apart gives 1 word: mocha. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cvoy7sjb47uwc.mocha.app/

Page Load Overview

0.33s
Total Load Time
11
HTTP Requests
7
Domains
202 KB
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:102 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
40%
phishing scam
36%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3151.101.130.137San Francisco, California, United States
AS54113FASTLY
2216.58.206.74United States
AS15169GOOGLE
2104.19.163.13United States
AS13335CLOUDFLARENET
134.117.59.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1104.17.25.14United States
AS13335CLOUDFLARENET
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1104.18.18.24United States
AS13335CLOUDFLARENET
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
0104.18.19.24United States
AS13335CLOUDFLARENET
1127--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10953A92B3B6C4C7BA01523F7EADBB549A83079CE69818477345CEEC5ABC107C6B205B5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:8t8pGfQFp1J7qj6WQ1NAsXqwvLeUdX1BleqcwU+SSFecbQyYvz:887cwU6ADzb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65643:M6IiSsAAAIQQhIkYmOWpgBJpABExKRDZYIeDKBCEygGBMTNDCEBsiqNRgHIGV8aHzDDo5AKBoGbEYRSCAwAIIQk3KDDZAwEl

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:183c3c3c3c3c0018
Perceptual Hash:9bd826739966cc64
Difference Hash:6071697870794d32
Wavelet Hash:3c3c3c3c3c3c243f
Color Hash:#361f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data