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

Redirected to:
https://33d699cc.f00ae5aa62a9700f3d7a1922.workers.dev/
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 8 domains to perform 18 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: 72%

3
Risk Score

The site shows no malicious activity but its unknown-age subdomain and lack of reputation warrant moderate caution.

Risk Factors (2)
Unknown subdomain age (could be newly created)
Unranked domain reputation
Safety Factors (3)
No forms collecting credentials or payments
No malicious JavaScript or network activity detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
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); it also runs on subdomain 'eoknglwe.an.r'. The core label 'appspot' covers 7 characters holding two vowels versus 5 consonants. Word splitting yields two words: app, spot. Median word length comes out to 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

6.92s
Total Load Time
226 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 software55% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
55%
documentation technical
35%
cryptocurrency blockchain
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.13.153Google · CDNUnited States
AS15169Google LLC
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.172.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
352.216.219.97Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
3188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
185--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E916236BAFD507F006392A262AE630D79A1D023CAB7059037BD82751F9BF56FD17280

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ljQDa/D+DMFGakjuE9xr4eyFO8nRC3vaQxnby:lj0a/SoGjKE9tyO8nM3Ceby

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4414:IGIAhACggGYwCIQAQFACBAAxQQEoA0AAIACwQAOIAgFMgEiQAwIACIAADIKAwAUECIMKYEAgRkGEBAgBQJDFZQAJAYAgAAAA

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:838783c30f0f0f0f
Color Hash:#39862d

Other Hashes

Crop Resistant:3c34361c00000000

Scan History

Scan history not available

Unable to load historical scan data