Security Scan Report: catalogit.app

Redirected to: https://catalogit.app/login/credentials

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Submitted: Nov 26, 2025, 11:42:51 PMCompleted: Nov 26, 2025, 11:47:36 PMpubliccompleted
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Summary

This website contacted 15 IPs in 0 countries across 5 domains to perform 28 HTTP transactions. The main domain is catalogit.app.

Submitted URL: https://catalogit.app/

Effective URL: https://catalogit.app/login/credentialsRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Login/Sign Up

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(53%)

Domain Information

You're looking at domain 'catalogit.app' on the application-focused generic top-level domain (.app) while skipping any subdomain. Count 9 characters in 'catalogit' containing four vowels alongside 5 consonants. Segmentation suggests two words: catalog, it. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://catalogit.app/

Page Load Overview

0.93s
Total Load Time
28
HTTP Requests
5
Domains
2.4 MB
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:198 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
53%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2299.84.152.29UnknownUnknown
1499.84.152.77UnknownUnknown
3142.250.186.131UnknownUnknown
1142.250.185.202UnknownUnknown
1216.58.212.136UnknownUnknown
199.84.152.100UnknownUnknown
1216.239.32.36UnknownUnknown
1142.250.186.42UnknownUnknown
199.84.152.127UnknownUnknown
12a00:1450:4001:811::2008UnknownUnknown
2815--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175334DA71749625208363FEB58B63959B015E08B4C43D7E4F0F98FE9D9D9FA80C8935C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:v7oIcDm3UE48Xt7Mzlx2jxzvmNZv5Am47HJ6iJuxt/ufijOqN0BvcHafJej:v0mFXt7MqsvN47pXuxt/16Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52282:TJpAbQtdYAEwX64YoAIXSAcB0GOizKBRBAPmsXSIAqAGAG6GlwJAOBBcOCCQY+FuBJkRaBDQACgUgRoGMsACALa/MAwBLpAn

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:3f0101ffff3ff8f0
Perceptual Hash:8a3d4a85c79cb55a
Difference Hash:604b3bf0e1702101
Wavelet Hash:3f01051f7f3f10f0
Color Hash:#798cd2

Other Hashes

Crop Resistant:604b3bf0e1702101

Scan History

Scan history not available

Unable to load historical scan data