ScanMalware.com

Security Scan Report: pilipinaslive.com

Redirected to: https://pilipinaslive.com/app/login

Submitted: Mar 24, 2026, 4:29:48 AMCompleted: Mar 24, 2026, 4:31:12 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 62 HTTP transactions. The main domain is pilipinaslive.com and was registered NaN years ago.

Submitted URL: https://pilipinaslive.com

Effective URL: https://pilipinaslive.com/app/loginRedirected

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain age
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No password fields on the login page
Standard external resources (Google APIs, CDN) only
Domain age information unavailable

Details

Page Title

Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(63%)

Domain Information

You're looking at domain 'pilipinaslive.com' on the commercial generic top-level domain (.com). Its registrable label 'pilipinaslive' stretches across 13 characters with 6 vowels and seven consonants. Segmentation suggests 4 words: pili, pin, as, live. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pilipinaslive.com

Page Load Overview

8.59s
Total Load Time
71
HTTP Requests
13
Domains
1.1 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:547 chars
Detector Agreement:75%

Website Classification

Primary Category

entertainment media63% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
63%
technology software
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1523.48.23.53Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
718.66.147.85United States
AS16509Amazon.com, Inc.
734.120.155.162Kansas City, Missouri, United States
AS396982Google LLC
734.117.34.87Kansas City, Missouri, United States
AS396982Google LLC
718.172.112.20United States
AS16509
7142.251.208.170United States
AS15169Google LLC
734.111.183.22Kansas City, Missouri, United States
AS396982Google LLC
7142.251.141.106United States
AS15169Google LLC
7162.247.243.39United States
AS54113Fastly, Inc.
719--

Detected Technologies7

OpenSearch
100%
Node.js
50%
HTTP/3
40%
Express
40%
Envoy
40%
Akamai Bot Manager
30%
Unpkg
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112B5A43F2677358A9881F0C6644092491B78E6D1D5E9E2DC7788C01D64E8F0F7ED8AEE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:GP0oY0gdqOJgdqOGls0pDf95YR67xxVgVOuoOhF/61+RYnJ1aU0yQmappTW8cyGn:GP0oYV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2452796:AUQDkQAAIBFB22AZjAPDmhChEIAAwoFECcQERLuFAoEqREwGAihCJQJYEEEWAr9ELJpgBWsXgMOIDiIBkcAuIrbBIgoFrDUg

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:0000181818183838
Perceptual Hash:cc336633cc336699
Difference Hash:14203032b23270b0
Wavelet Hash:0000183fffff3c38
Color Hash:#b36ce0

Other Hashes

Crop Resistant:14203032b23270b0

Scan History

Scan history not available

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