ScanMalware.com

Security Scan Report: pangia.biz

Redirected to:
https://pangia.biz/app/
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Submitted: May 2, 2026, 8:25:20 PMCompleted: May 2, 2026, 8:26:34 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 25 HTTP transactions. The main domain is pangia.biz and was registered NaN years ago.

Submitted URL: https://pangia.biz

Effective URL: https://pangia.biz/app/Redirected

The Cisco Umbrella rank of the primary domain is #156,404 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site pretends to be the Mail2World login page, uses a low‑ranked domain and collects credentials – likely a brand impersonation phishing site.

Risk Factors
Brand impersonation on low‑ranking domain
Credential collection form on unrelated domain
Low Cisco Umbrella ranking for claimed brand
Safety Factors
Domain age > 5 years (well‑established)
No malicious JavaScript or network alerts detected
No external malicious links or known IoC matches
Established domain (8908 days old) with no strong malicious indicators — risk clamped from 7 to 5
Domain age information unavailable

Details

Page Title

Sign In - Mail2World

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(39%)

Domain Information

Within the business-focused generic top-level domain (.biz), 'pangia.biz' is registered with no subdomain. Count 6 characters in 'pangia' with three vowels and 3 consonants. It segments into three words: pang, i, a. Median word length is 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pangia.biz

Page Load Overview

7.43s
Total Load Time
24
HTTP Requests
8
Domains
228 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:951 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
39%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.45.97.132Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3142.251.13.95United States
AS15169Google LLC
3142.251.151.119United States
AS15169Google LLC
3104.17.24.14United States
AS13335Cloudflare, Inc.
3142.251.110.95United States
AS15169Google LLC
3104.18.10.207United States
AS13335Cloudflare, Inc.
374.202.139.20United States
AS26254Mail2world INC.
3142.251.13.94United States
AS15169Google LLC
248--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F052E57288DD1C7B020240DEF069BB6DB49F4E32D22A89D0F5BF926873C1D93B566345

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QxIiywhBpBLvu7tF/r/iJOKEzmQmHMHWMMuYMBpMjCDGCvggf14j7r4myw:k/ywzpPT9gRmN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14075:GtRChJAo2tC5QEAAkEQuqA0MwXAQgmAIBB8AgSGkKyAATBsABFRIMpmZWBAAsAYnQ2KIDFASRxSgjCCl0ZC1MoGBECCDnECL

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:ffffffffff0f7f00
Perceptual Hash:80f703b86f8738c7
Difference Hash:c080c0c01095c0c3
Wavelet Hash:7e7e3e3e0e0f0e00
Color Hash:#9c87c5

Other Hashes

Crop Resistant:c080c0c01095c0c3,00011ba3935b0100

Scan History

Scan history not available

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