Security Scan Report: resource-page-mmfe44a.m365cloud.workers.dev

Redirected to:
https://login.microsoftonline.com/common/oauth2/deviceauth
Site favicon
Submitted: Jul 8, 2026, 8:55:11 PMCompleted: Jul 8, 2026, 8:56:19 PMpubliccompleted

This website contacted 7 IPs in 4 countries across 6 domains to perform 14 HTTP transactions. The main domain is login.microsoftonline.com and was registered 24 years ago.

Submitted URL: https://resource-page-mmfe44a.m365cloud.workers.dev/_layouts/15/sharepoint.aspx?authRedirect=true&url=https%3A%2F%2Foffice365.sharepoint.com%2F_layouts%2F15%2Fsharepoint.aspx

Effective URL:

https://login.microsoftonline.com/common/oauth2/deviceauth
Redirected

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

The page mimics Microsoft login, uses a suspicious workers.dev subdomain and a code entry form, indicating a credential phishing operation.

Risk Factors
Impersonation of a major brand on an untrusted subdomain
Presence of a credential-like form (code entry) targeting Microsoft OAuth endpoint
High JavaScript obfuscation and dynamic code generation
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'resource-page-mmfe44a.m365cloud.workers.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'resource-page-mmfe44a.m365cloud'. The second-level label 'workers' is 7 characters long with 2 vowels and 5 consonants. Tokenizing the label suggests 1 word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://resource-page-mmfe44a.m365cloud.workers.dev/_layouts/15/sharepoint.aspx?authRedirect=true&url=https%3A%2F%2Foffice365.sharepoint.com%2F_layouts%2F15%2Fsharepoint.aspx

Page Load Overview

1.94s
Total Load Time
209 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:228 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
288.221.169.152Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
220.190.160.20Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
213.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
220.190.159.68Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
147--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E40309E93EA2247B83878175E4BABA02A6795907984CDC70F44CDC841FFAB9D8037957

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:fwAeS4zIwVqo1iSj8Z9TjuvhCknmaprVvPoMLaZczC7SuAyZ:fwecqo1IZ9Tjuokmap5vPoMLufRz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40143:pCKCAA2CEIBUlcegTMCBhOzPWBGcgEikIqsEoGSHRSoKEJBodAAEUtXl1AMpAYoBoKyTzARgOUAERAMaBOAEjTuHQZmAAAvZ

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:0010392f37373737
Perceptual Hash:865b5c6653335ccc
Difference Hash:88e4f2cbe5e5e6e6
Wavelet Hash:00203b2f3737373f
Color Hash:#d46ce0

Other Hashes

Crop Resistant:88e4f2cbe5e5e6e6

Scan History

Scan history not available

Unable to load historical scan data