Security Scan Report: fbcenters-businesspage.pages.dev

Submitted: Jul 20, 2026, 12:51:53 PMCompleted: Jul 20, 2026, 12:53:00 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site shows no malicious activity but its unknown subdomain age and lack of reputation warrant moderate caution.

Risk Factors (2)
Domain age unknown (subdomain on hosting platform)
Unranked in Cisco Umbrella
Safety Factors (4)
Self‑branding only
No forms or data collection
No malicious code or external links
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Worker threw exception | fbcenters-businesspage.pages.dev | Cloudflare

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'fbcenters-businesspage.pages.dev' is registered, featuring subdomain 'fbcenters-businesspage'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside 3 consonants. Segmentation suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fbcenters-businesspage.pages.dev/

Page Load Overview

0.49s
Total Load Time
14 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:623 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software52% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
52%
documentation technical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.64Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF915333BAFD203F006392A272AD670DB9A1D017C6B7059137ADC6751F9AE22ED13380

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:lj+Da/D+DMFGakSyE9xr4eyFA6nRC3vaQxnby:lj+a/SoGjRE9t4A6nM3Ceby

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4375:CEYACIIAYrAAggQgARJkBIIAYgAACsADQAQAQIAAoFMAVkAGkAAEAggMKJAWAQAAVAQAIAklCBCIAAAAAcRwAQQBQAIgQYhE

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:87c7c3e7ffffffff
Perceptual Hash:b838389bd3e3646c
Difference Hash:3c34160c00000000
Wavelet Hash:838783c30f0f0f0f
Color Hash:#6b862d

Other Hashes

Crop Resistant:3c34160c00000000

Scan History

Scan history not available

Unable to load historical scan data