Security Scan Report: breef.pages.dev

Redirected to:
https://www.google.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 17 IPs in 1 country across 9 domains to perform 59 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://breef.pages.dev/

Effective URL:
https://www.google.com/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 52%

5
Risk Score

Anonymous pages.dev page presenting only a 'video player'/'DOWNLOAD' lure that redirects to an unrelated domain, with bot-protection content mismatch. No forms, Indicators of Compromise or YARA hits, so no proof of phishing — but identity and purpose are opaque. Treat as low-trust.

Risk Factors (4)
Free hosting-platform subdomain (pages.dev) whose creation date is unknown and cannot be inferred from the platform's age
Opaque cross-domain redirect ending on an unrelated registrable domain, with the served page not matching the final URL
Download-lure page ('video player' / 'e DOWNLOAD') with adult-content classification and no substantive legitimate content
Different content served to datacenter scanner vs residential client
Safety Factors (1)
Suricata alerts are only informational pages.dev DNS/TLS-SNI signatures, not phishing or malware
Domain age information unavailable

Details

Page Title

video player

Scan Type

public

Domain Name Analysis

The domain name 'breef.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'breef'. Count 5 characters in 'pages' split between two vowels and 3 consonants. It segments into 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://breef.pages.dev/

Page Load Overview

0.80s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:3,733 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content61% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
61%
education learning
39%
documentation technical
38%
news media journalism
35%
social media network
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
3142.251.14.191Google · CDNUnited States
AS15169Google LLC
3142.251.13.132Google · CDNUnited States
AS15169Google LLC
3142.251.156.119Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3142.251.110.138Google · CDNUnited States
AS15169Google LLC
3142.251.152.119Google · CDNUnited States
AS15169Google LLC
5917--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1215275F6BCB58C761A61DE487011791CD661B5BEF458D88CF4B8379A2B83AB243C7384

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hW9CTePyvOVPn1vrelel7l00lZluqnlwl8lep+lFlLlulX0+A8GLuj+l4:45rUUZ0K3uqlmiA0TpkX0+A8GLg+l4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13855:kMKAhVQwgSdTiAcCmACAAoOEAEBEAtIAQA5iAC4nkAkYAyBbgNIBEFQgxRAFNBLkoyGRhpJi1CaOk8vBQIpOJMBeADIBAEQA

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:fff3ffc3c3c3c3c3
Perceptual Hash:e4cf933699929239
Difference Hash:0606271707070f0f
Wavelet Hash:fff3f38181838381
Color Hash:#e08b6c

Scan History

Scan history not available

Unable to load historical scan data