Security Scan Report: peoplefungames.appspot.com

Redirected to:
https://www.facebook.com/login/?next=https%3A%2F%2Fapps.facebook.com%2...
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Submitted: Jun 29, 2026, 1:43:16 AMCompleted: Jun 29, 2026, 1:44:44 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is facebook.com and was registered NaN years ago.

Submitted URL: https://peoplefungames.appspot.com

Effective URL: https://www.facebook.com/login/?next=https%3A%2F%2Fapps.facebook.com%2Fwordchums#Redirected

The Cisco Umbrella rank of the primary domain is #84,631 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 94%

8
Risk Score

Phishing page impersonating Facebook with a login form; high risk of credential theft.

Risk Factors
Brand impersonation of Facebook
Credential collection on unrelated domain
Unknown subdomain age on hosting platform (.appspot.com)
Multiple redirects to official login page
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(48%)

Domain Information

The domain 'peoplefungames.appspot.com' uses the commercial generic top-level domain (.com), featuring subdomain 'peoplefungames'. The registrable portion 'appspot' spans 7 characters holding two vowels versus five consonants. Tokenizing the label suggests two words: app, spot. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://peoplefungames.appspot.com

Page Load Overview

18.29s
Total Load Time
43
HTTP Requests
5
Domains
2.3 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:2,019 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network48% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
48%
technology software
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
10157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
10142.251.14.153United States
AS15169Google LLC
10157.240.0.13Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
434--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133A45C05FA08C4761B3B0FE1E4A57907A75D080BDA8959E4D5AEBB7834C7BF8231B706

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:n6JI3FlhAqZjispgNmzUFE+GnIWnIjiD99jifr0aiWFRYkRhznaHDN9nuqR+rnQP:Dl/h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:480001:aBEwWoVAIGigIAYJDEAYLAQIiCduJBZEoAsA1ERyhJgieEUgcAvNnlNmLmBc1Fs0wAJwIQBE4pACILQKhUDQQAkMFBqDBEgI

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:003c3c3c3c3c3800
Perceptual Hash:8a9b25e67164bc99
Difference Hash:8d69317979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#79d292

Scan History

Scan history not available

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