Security Scan Report: pbp1-97f.pages.dev

Submitted: Dec 9, 2025, 4:14:25 AMCompleted: Dec 9, 2025, 4:15:35 AMpubliccompleted
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Summary

This website contacted 36 IPs in 3 countries across 12 domains to perform 66 HTTP transactions. The main domain is pbp1-97f.pages.dev.

Submitted URL: https://pbp1-97f.pages.dev/awards/best-5g/?

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing page impersonating Speedtest on a newly created, unranked domain.

Risk Factors
Brand impersonation on a non‑official, unranked domain
New/unknown domain age
Unranked domain (not in Cisco Umbrella top 1M) used for brand‑related content
Domain age information unavailable

Details

Page Title

Best 5G Network Speedtest Awards – 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'pbp1-97f.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'pbp1-97f'. The core label 'pages' covers 5 characters with two vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pbp1-97f.pages.dev/awards/best-5g/?

Page Load Overview

17.30s
Total Load Time
66
HTTP Requests
12
Domains
2.0 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:4,170 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31172.64.155.119United States
AS13335CLOUDFLARENET
13.220.128.170Ashburn, Virginia, United States
AS14618AMAZON-AES
1104.18.86.42United States
AS13335CLOUDFLARENET
134.246.144.250Dublin, Leinster, Ireland
AS16509AMAZON-02
1142.250.184.200United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
12.16.110.42Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
154.160.89.118Ashburn, Virginia, United States
AS14618AMAZON-AES
1172.66.44.111United States
AS13335CLOUDFLARENET
1172.66.47.145United States
AS13335CLOUDFLARENET
6636--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11194F1B1019A9ABF521BCBCCE734B21ABAE2605FE45158F0DFFDDE694583EA1EC14440

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:wJT02ETAgZvkZUxF8m2uTXenV4JyjJwja+a0jcDZC0czbrTS62niODCNRbGchOmm:wV07AgZEUXBXzjjpa0U14ban8RbGlp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:419225:jdsHpASJAxAFQkcB8A4SCREABSmEA5CIAArkJwi0B0RgQJl0ghggYBMAQUvBSLKUCASCCG6CyRrbnElNMAVAUZTGiuABBAIC

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:183c3c3c00000000
Perceptual Hash:8adf333164663333
Difference Hash:71717161a1392921
Wavelet Hash:3c7d3d7d59190119
Color Hash:#ac5397

Scan History

Scan history not available

Unable to load historical scan data