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

Redirected to:
https://33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 9 domains to perform 20 HTTP transactions. The main domain is appspot.com and was registered 21 years ago.

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

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

AI Security Verdict

High Risk

Confidence: 76%

8
Risk Score

Microsoft SharePoint branding on a random workers.dev tenant behind a 'checking your browser' gate — brand impersonation with cloaking behaviour; no credential form on this capture, but do not enter data.

Risk Factors (4)
Impersonation of a different entity's brand (Microsoft SharePoint) on a non-Microsoft workers.dev tenant
Browser-check / holding interstitial that gates real content, typical of phishing-kit cloaking
Randomised subdomains on free hosting platforms (appspot.com redirect to workers.dev) with unknown page age
Differential content between datacenter scanner and residential client
Domain age information unavailable

Details

Page Title

Mutifactor Auth

Scan Type

public

Domain Name Analysis

You're looking at domain 'eoknglwe.an.r.appspot.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'eoknglwe.an.r'. The second-level label 'appspot' is 7 characters long split between 2 vowels and 5 consonants. Tokenizing the label suggests 2 words: app, spot. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Error 1101 Ray ID: a59670fbec8fadfc + 2026-11-12 15:06:34 UTC Worker threw exception What happened? You've requested a page on a website (33d699¢c.f00ae5aa62a9700f3d7a1922.workers.dev) that is on t...

Page Load Overview

1.28s
Total Load Time
241 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:84%
Script:Latin
Direction:ltr

Detection Details

Text Length:103 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
documentation technical
57%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.13.153Google · CDNUnited States
AS15169Google LLC
6188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.172.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
252.216.53.82Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
274.125.29.95Google · CDNUnited States
AS15169Google LLC
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
216.15.253.82Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
208--

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:87c783e7ffffffff
Perceptual Hash:bc38389b93636c6c
Difference Hash:3c34360c00000000
Wavelet Hash:838783c30f0f0f0f
Color Hash:07006000040

Other Hashes

Crop Resistant:3c34360c00000000

Scan History

Scan history not available

Unable to load historical scan data