Security Scan Report: seahorse-app-cy3ab.ondigitalocean.app

Redirected to: https://fe479469-04fb-4f20-85aa-dd7842a6b286-00-2q8r4x4pt5jg4.worf.replit.dev/

Submitted: Oct 28, 2025, 10:14:41 AMCompleted: Oct 28, 2025, 10:15:25 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is fe479469-04fb-4f20-85aa-dd7842a6b286-00-2q8r4x4pt5jg4.worf.replit.dev and was registered NaN years ago.

Submitted URL: https://seahorse-app-cy3ab.ondigitalocean.app/

Effective URL: https://fe479469-04fb-4f20-85aa-dd7842a6b286-00-2q8r4x4pt5jg4.worf.replit.dev/Redirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Cargando...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

Within the application-focused generic top-level domain (.app), 'seahorse-app-cy3ab.ondigitalocean.app' is registered; it also runs on subdomain 'seahorse-app-cy3ab'. Its registrable label 'ondigitalocean' stretches across 14 characters containing 7 vowels alongside 7 consonants. Breaking it apart gives three words: on, digital, ocean. Median word length comes out to five characters. 'on' most often appears in Estonian. Usage also turns up in Finnish and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://seahorse-app-cy3ab.ondigitalocean.app/

Page Load Overview

7.74s
Total Load Time
8
HTTP Requests
4
Domains
218 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,672 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%
healthcare medical
58%
finance banking
55%
cryptocurrency blockchain
54%
documentation technical
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.0.96United States
AS13335CLOUDFLARENET
0216.58.212.138United States
AS15169GOOGLE
034.75.151.117North Charleston, South Carolina, United States
AS396982GOOGLE-CLOUD-PLATFORM
0142.250.186.35United States
AS15169GOOGLE
02a06:98c1:58::60United States
AS13335CLOUDFLARENET
02606:4700:7::60United States
AS13335CLOUDFLARENET
02a00:1450:4001:80f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a00:1450:4001:82f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
0162.159.140.98United States
AS13335CLOUDFLARENET
89--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DEF110F7D3A12C08170295FEA6E264F48A96549BCE2BDA3AF74C75444FDF346EC46084

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nxKPCUTJd/UKB8VHrUb/VPpA5/iciogM13s4M6hfyORfmyjGrEC:xKPCIJd/98W/H34MQfzf2X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7595:WxgLgIyQBURYFASKIwJg1AIFSIlkxAHzSgwAkShyAGQWAQF6rNYAhG9QYoSIsQAQglBwUQEZUJcgFAAoAcmo+BgIEEekQNod

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data