ScanMalware.com

Security Scan Report: auth-pages-1platform.ubpages.com

Redirected to: https://auth-pages-1platform.ubpages.com/25c739d4-b7c4-11f0-8b43-eeb4fd6c0fd0/

Submitted: Nov 3, 2025, 9:28:33 AMCompleted: Nov 3, 2025, 9:28:58 AMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 1 country across 3 domains to perform 18 HTTP transactions. The main domain is auth-pages-1platform.ubpages.com.

Submitted URL: https://auth-pages-1platform.ubpages.com/2e1c421e-b7c4-11f0-9bbb-8e2c563205a0/

Effective URL: https://auth-pages-1platform.ubpages.com/25c739d4-b7c4-11f0-8b43-eeb4fd6c0fd0/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site impersonating Facebook; do not enter credentials.

Risk Factors
Brand impersonation on a non‑official domain
Login form collecting credentials
Unranked, low‑reputation domain
Suspicious subdomain suggesting authentication service
Potentially newly registered domain (age unknown)
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Language

🇩🇪

German

(50% confidence)

Category

social media network

(99%)

Domain Information

You're looking at domain 'auth-pages-1platform.ubpages.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'auth-pages-1platform'. Count 7 characters in 'ubpages' containing 3 vowels alongside four consonants. Breaking it apart gives 2 words: ub, pages. Median word length is 3.5 characters. Most frequently, 'ub' shows up in English. Secondary signals appear in Malay and Basque.

Screenshot

Security scan screenshot of https://auth-pages-1platform.ubpages.com/2e1c421e-b7c4-11f0-9bbb-8e2c563205a0/

Page Load Overview

10.41s
Total Load Time
18
HTTP Requests
3
Domains
117 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:50%
Script Type:Latin
Text Length:1,348 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
99%
adult content
71%
entertainment media
63%
blog personal website
44%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.64.146.119United States
AS13335CLOUDFLARENET
13.160.150.53United States
AS16509AMAZON-02
13.160.150.62United States
AS16509AMAZON-02
1104.18.41.137United States
AS13335CLOUDFLARENET
13.160.156.5United States
AS16509AMAZON-02
13.160.156.17United States
AS16509AMAZON-02
13.160.156.21United States
AS16509AMAZON-02
13.160.150.105United States
AS16509AMAZON-02
13.160.150.121United States
AS16509AMAZON-02
13.160.156.90United States
AS16509AMAZON-02
1810--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1810342E3B922160AF57AC295FC9ABF4D2036F24BD7C2CA94E325B4ACC3C99C95471345

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:QOgCP5xFP5VJk/bwweAZFuLZWjw/+W/kSJkC/EZ2/XZXfoaFUrZ9kpNrpQ7O:IQ3JWU/+FuLZWjw/+WeC/EZ2/XZvoaFb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40091:BQCDYAJCiAgSwQE1ZjJDIFECtmFggIQADIRQDkYDSaLBIgUumioFAigEBJA5w84wKBIQCGYMGAoMnoCUBAATJIIbesx0B1iq

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:e7ffe7e7e7ff0000
Perceptual Hash:b3b39999226666cc
Difference Hash:4c124c4d28100800
Wavelet Hash:e7efe3e3ff000000
Color Hash:#4084bf

Other Hashes

Crop Resistant:4c124c4d28100800

Scan History

Scan history not available

Unable to load historical scan data