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Security Scan Report: box-note-zwvf.p-w2ryi8b0.workers.dev

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b85d4a26-e0d6-4899-8830-cb159db6cc06Domain and IP registration (RDAP)/api/v1/rdap/b85d4a26-e0d6-4899-8830-cb159db6cc06How often this domain was scanned/api/v1/domain/stats/box-note-zwvf.p-w2ryi8b0.workers.devScan history for this domain/api/v1/domain/history/box-note-zwvf.p-w2ryi8b0.workers.dev?limit=15
This website contacted 4 IPs in 1 country across 2 domains to perform 12 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: https://box-note-zwvf.p-w2ryi8b0.workers.dev/l/B9hfgMAPm7c/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Microsoft SharePoint document-share page on workers.dev that issues a 'verification code' and pushes victims to authenticate, a device-code credential-phishing lure. No legitimate SharePoint involvement.

Risk Factors (4)
Brand impersonation of Microsoft SharePoint on a non-Microsoft domain
Device-code / verification-code lure designed to hand an attacker a session token
Off-domain unranked fetch endpoint api.scgx02.org contacted by page scripts
Free instant-publish workers.dev subdomain with obfuscated random naming (box-note-zwvf.p-w2ryi8b0)
Domain age information unavailable

Details

Page Title

SharePoint - RFQ - Project Scope

Scan Type

public

Domain Name Analysis

The domain name 'box-note-zwvf.p-w2ryi8b0.workers.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'box-note-zwvf.p-w2ryi8b0'. The core label 'workers' covers 7 characters containing 2 vowels alongside 5 consonants. Word splitting yields 1 word: workers. No strong language cues emerged from the frequency lists.

Screenshot

[&Jsharepoint] SharePoint > Shared Documents RFQ - Project Scope © ‘Tom Bentley shared a document with you Sign in to view RFQ - Project Scope Word Document ‘Shared via SharePoint Online Verific...

Page Load Overview

0.54s
Total Load Time
10 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:626 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
65%
documentation technical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.21.42.128Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.162.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
124--

Detected Technologies3

HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC02D773B24C143EB567C4D2B5627BDF3090862AF5639610DA9A7379C4C29E3DA32788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:m6iGky4i9knJhgNGyA6mGKVUHY+p2Svcx3:Xzky4ibNnMUHY+p2ucx3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8621:IosQSAByhuA8IlwAILAdCKaxVQYAKLINkTCnSRIHiMSgJEIEHgNDJ4AJNkT1CewAIAeNhkMndEECKZBKxALAHcS4AEJgKwAO

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:00ffcfffe7ffffff
Perceptual Hash:93196c666c4e3973
Difference Hash:5050583868682810
Wavelet Hash:000f2f3f243c2400
Color Hash:N/A

Other Hashes

Crop Resistant:181a582868682810,0000004040408000

Scan History

Scan history not available

Unable to load historical scan data