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

Redirected to:
https://33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev/
Submitted: Completed: publiccompleted
This website contacted 11 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

Low Risk

Confidence: 58%

2
Risk Score

Page is a broken Cloudflare Workers error page with no content, forms or scripts of concern. Only a single-source, unverified phishing report against a third-party domain (qr.codes) is present; nothing on the page itself is malicious.

Risk Factors (3)
Single-source, unverified threat-intel report (phishing) against the third-party domain qr.codes referenced by the original page resources
Scan ended on a workers.dev subdomain that failed to render, so the actual content and intent could not be verified
Hosting-platform subdomain with unknown creation date and no Cisco Umbrella ranking
Safety Factors (5)
No credential, login or payment form present (all form/field counts zero)
No JavaScript malware patterns, no known malicious kit, no obfuscated or exfiltrating scripts
No brand impersonation — the page is a generic error page that names no other organisation
No credential exfiltration or cross-origin form submission detected
Informational-only network alerts; no malware or phishing IDS signature
Domain age information unavailable

Details

Page Title

Worker threw exception | 33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev | Cloudflare

Scan Type

public

Domain Name Analysis

The domain 'eoknglwe.an.r.appspot.com' uses the commercial generic top-level domain (.com) with subdomain 'eoknglwe.an.r'. Its registrable label 'appspot' stretches across 7 characters containing 2 vowels alongside 5 consonants. Splitting it apart reveals 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

1.63s
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 software56% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
35%
cryptocurrency blockchain
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.153Google · CDNUnited States
AS15169Google LLC
1104.20.41.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
116.15.162.127Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1192.178.183.153Google · CDNUnited States
AS15169Google LLC
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
116.15.230.10Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
2011--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14D211127FD2A45DF20D2B27119FD730897E44A52D70F2845FAE5922A8ED4F6E9445081

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hERujE85TjTG/y8wjGdjvLksPk11kANaLnjD+DM0jJs30jRRjCy4m5EG:eujV5Tjy/PwjGdjL8DaLnjD+DMMs0j/L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1181:AECAJAACAAAAKAAIAAAgAIAACABABAAAAAACAIAABAAEACAAJCAAAAAAACAAAAAAAACACAAAIACAAAkABAAAAFAAEAAIAAAA

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:3c34361c00000000
Wavelet Hash:838783c3f0f0f0f0
Color Hash:#763a78

Other Hashes

Crop Resistant:3c34361c00000000

Scan History

Scan history not available

Unable to load historical scan data