Security Scan Report: bcon-activities.pages.dev

Redirected to:
https://login.microsoftonline.com/7b6c5dba-59f1-42f1-9dd6-5b0c86bd6442...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 13 IPs in 4 countries across 6 domains to perform 16 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://bcon-activities.pages.dev/faculty/api/auth/microsoft?return=%2Ffaculty%2Fmark-the-words%2F

Effective URL:
https://login.microsoftonline.com/7b6c5dba-59f1-42f1-9dd6-5b0c86bd6442...
Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Genuine Microsoft OAuth sign-in page reached from a pages.dev application; no phishing, malware, impersonation, or credential exfiltration evidence found.

Safety Factors (5)
Official Microsoft login domain hosts the credential form
OAuth redirect_uri and client_id parameters are consistent with an application sign-in flow
No credential exfiltration detected
No Indicators of Compromise or malware patterns found
Microsoft-owned authentication resources are used
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'bcon-activities.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'bcon-activities'. The registrable portion 'pages' spans 5 characters containing two vowels alongside 3 consonants. Word splitting yields one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

2.84s
Total Load Time
479 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:96 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
64%
social media network
27%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
420.190.159.129Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
140.126.31.71Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
174.151.238.99Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
1188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
140.126.32.72Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.4Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.66Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
1613--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A834BEA7EA32D37828A45B4B5762E02AE3A5D03884CCD64F15CCD982FFB74D8127517

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Do8GLG2wZftiEg0xbdlzmoSIZ9Tjuokmap5vPoMLuaH01iiZTC:k8NtI2dlm6a/AfC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83352:aISgCMKBwmQCBIgJADJbWQACYqhKDBEMuQwBCEBIkY5CciJAAAD4m4lKQzEWJAhhwHoGz6BSINAAQRSAIEHBBRKwAAenArII

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:0010393b373f3737
Perceptual Hash:845971764699d96e
Difference Hash:88e4d2d3e5eee6e6
Wavelet Hash:00003b3b373f373f
Color Hash:N/A

Other Hashes

Crop Resistant:88e4d2d3e5eee6e6

Scan History

Scan history not available

Unable to load historical scan data