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Security Scan Report: berrymodapeka-oyd6yom5c0.edgeone.app

Submitted: Nov 24, 2025, 6:04:17 PMCompleted: Nov 24, 2025, 6:06:55 PMpubliccompleted
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Summary

This website contacted 52 IPs in 4 countries across 18 domains to perform 194 HTTP transactions. The main domain is berrymodapeka-oyd6yom5c0.edgeone.app.

Submitted URL: https://berrymodapeka-oyd6yom5c0.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site likely distributes malicious APKs; moderate risk, avoid downloading.

Risk Factors
Low ranking domain (rank > 100k) combined with software download offers
Possibly newly registered domain with no established reputation
Distribution of unofficial/modded APKs, which are commonly used to spread malware
Domain age information unavailable

Details

Page Title

Download Mod APK Aman & Terbaru 2025 | Berry Mod Apeka

Scan Type

public

Language

🇺🇸

English

(45% confidence)

Category

technology software

(70%)

Domain Information

You're looking at domain 'berrymodapeka-oyd6yom5c0.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'berrymodapeka-oyd6yom5c0'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://berrymodapeka-oyd6yom5c0.edgeone.app/

Page Load Overview

2.20s
Total Load Time
194
HTTP Requests
18
Domains
14.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:45%
Script Type:Latin
HTML Lang Attribute:id
Text Length:26,651 chars
Detector Agreement:80%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
social media network
62%
entertainment media
47%
documentation technical
37%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
142104.21.75.3United States
AS13335CLOUDFLARENET
41104.17.24.14United States
AS13335CLOUDFLARENET
222.20.245.172Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.250.184.227United States
AS15169GOOGLE
443.152.26.58Singapore
AS139341ACE
435.186.224.28United States
AS396982GOOGLE-CLOUD-PLATFORM
335.186.224.24United States
AS396982GOOGLE-CLOUD-PLATFORM
3216.239.32.36United States
AS15169GOOGLE
3172.67.68.11United States
AS13335CLOUDFLARENET
3172.67.209.148United States
AS13335CLOUDFLARENET
19452--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3B4D6B977F1093F419787F3AA56E328F865D90BD80BC449B76C4484AFC6CA6A843335

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:o6qt0a+JMhbjqdbM785Lc3PgbiWXuthAhDj:u0ZuqdbM78R6c9XchAhDj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:517672:MRBAM54MEAagEiIAvACXAmRZiCMAoEMMIgyTLAA8aEKFKiAsEpDJtIVCMipKcHAMYKMA0WCIImMgACIMGQBMQCVcBngDJgHI

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:181c0400efe7ff7f
Perceptual Hash:921a1ce56d6d66b4
Difference Hash:717969f9cdcdcdb1
Wavelet Hash:181c0400efe7ff1f
Color Hash:#7aac53

Other Hashes

Crop Resistant:cbc0c0c0c0c0c8c6,71796df9ccccccb1

Scan History

Scan history not available

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