Security Scan Report: eoknglwe.an.r.appspot.com

Redirected to:
https://33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev/
Site favicon
Submitted: Oct 1, 2026, 8:53:58 AMCompleted: Oct 1, 2026, 8:54:37 AMpubliccompleted

This website contacted 9 IPs in 1 country across 9 domains to perform 20 HTTP transactions. The main domain is 33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev and was registered 11 years ago.

Submitted URL: https://eoknglwe.an.r.appspot.com/

Effective URL:

https://33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake 'Microsoft SharePoint Online / Multifactor Auth' page on appspot.com redirected to a throwaway Cloudflare Workers host, with bot-protection evasion and a phishing-flagged third-party resource — a brand-impersonation phishing lure.

Risk Factors (5)
Impersonation of Microsoft's SharePoint brand on a non-Microsoft domain (appspot.com / workers.dev)
Free/instant shared-hosting subdomain with unknown creation date behind an aged platform apex
Random-hex Cloudflare Workers subdomain used as the final hosting location
Phishing-style 'checking your browser / please hold' interstitial ahead of a fake multi-factor auth screen
Third-party resource (qr.codes) flagged as phishing in threat intelligence
Domain age information unavailable

Details

Page Title

Mutifactor Auth

Scan Type

public

Domain Name Analysis

Domain 'eoknglwe.an.r.appspot.com' uses the commercial generic top-level domain (.com), featuring subdomain 'eoknglwe.an.r'. The registrable portion 'appspot' spans 7 characters with 2 vowels and five consonants. Breaking it apart gives two words: app, spot. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eoknglwe.an.r.appspot.com/

Page Load Overview

1.92s
Total Load Time
238 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:662 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
54%
documentation technical
36%
cryptocurrency blockchain
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.13.153Google · CDNUnited States
AS15169Google LLC
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.20.41.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
216.15.244.174Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2172.217.208.95Google · CDNUnited States
AS15169Google LLC
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.172.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
252.217.128.18Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
209--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B85154B384F2441721019190FEB6B51DCDAEC10B9A9A5C10F5AE53BABFC1ED188AB55C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:wr2/ECZDUikbbai4BqaieRait0orKbapZpBtUrJRtN/lc520ipO3fE:M25ubFK10orKIMD9lc8QE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3008:iBEgAEBOAAB4AISBhIAAEAAAUAAgDBCAQCABAAkAAAQiAAAQIAAAAABBDAABAAgRAAMIACgWCBAjQAgAtAAB4AAIAQgBASAA

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:e7e7e7e7ffffffff
Perceptual Hash:b3333399ccccc4cc
Difference Hash:080c0c0c00000000
Wavelet Hash:c3c3c3c30f0f0f0f
Color Hash:#2dd29e

Other Hashes

Crop Resistant:080c0c0c00000000

Scan History

Scan history not available

Unable to load historical scan data