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Security Scan Report: lunch-app-sourcery-academy.pages.dev

Redirected to: https://lunch-app-sourcery-academy.pages.dev/login

Submitted: Nov 13, 2025, 5:01:31 PMCompleted: Nov 13, 2025, 5:02:53 PMpubliccompleted
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Summary

This website contacted 11 IPs in 0 countries across 2 domains to perform 6 HTTP transactions. The main domain is lunch-app-sourcery-academy.pages.dev.

Submitted URL: http://lunch-app-sourcery-academy.pages.dev/

Effective URL: https://lunch-app-sourcery-academy.pages.dev/loginRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site likely a phishing page harvesting Cognizant credentials

Risk Factors
Credential harvesting form on low‑reputation, likely new domain
Impersonation of Cognizant brand
Unranked domain lacking established reputation
Domain age information unavailable

Details

Page Title

Lunch app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(40%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'lunch-app-sourcery-academy.pages.dev' is registered and includes subdomain 'lunch-app-sourcery-academy'. The core label 'pages' covers 5 characters holding 2 vowels versus 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://lunch-app-sourcery-academy.pages.dev/

Page Load Overview

47.73s
Total Load Time
6
HTTP Requests
2
Domains
888 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:138 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software40% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
40%
education learning
36%
e-commerce shopping
27%
documentation technical
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
023.56.248.49UnknownUnknown
0188.114.96.3UnknownUnknown
0188.114.97.3UnknownUnknown
02a02:26f0:7100:885::523UnknownUnknown
02a06:98c1:3120::3UnknownUnknown
02a02:26f0:7100:88d::523UnknownUnknown
02a02:26f0:7100:8b7::523UnknownUnknown
02a02:26f0:7100:88b::523UnknownUnknown
02a06:98c1:3121::3UnknownUnknown
02a02:26f0:7100:88c::523UnknownUnknown
611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B52A6D57370A2B9E146DBE5267985213F6B11FAFAA74C48C37C8E88BB9584C4CC4CD2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:qDv1Cb3z+qF9LE7FzY+xqMIPjZC6MNb5WPe4O6kJYqUN6:y1KEOteuelUY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14517:sHYiILzEEoZBxROAcIOig4LAE4CkqYHAAqM3CCVRCsiJgEYDlJAIgMSACYQImtjgpZEEQgJQCyDlQOBoDyGFi4onDNAGTW0H

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:ffefefffe7e7ff76
Perceptual Hash:e69999664c996666
Difference Hash:300a0a120d0d108c
Wavelet Hash:d8c8e8f8e3e3d940
Color Hash:#d27992

Other Hashes

Crop Resistant:300a0a120d0d108c

Scan History

Scan history not available

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