Security Scan Report: php-web-server--uniteceduc.replit.app

Submitted: Sep 27, 2026, 9:50:21 AMCompleted: Sep 27, 2026, 9:51:22 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 85%

1
Risk Score

Inactive Replit hosting placeholder page ('app isn't live yet') with no forms, no brand impersonation, and no threat-intel or malware signals. Nothing malicious is served.

Safety Factors (4)
Unpublished/inactive app page on the Replit hosting platform, showing the platform's own default message
Zero credential, login or payment forms present in the DOM
No threat-intel matches against the page or its resources
No obfuscated or exfiltrating JavaScript; no cross-origin network sinks
Domain age information unavailable

Details

Page Title

This app isn't live yet

Scan Type

public

Domain Name Analysis

Domain 'php-web-server--uniteceduc.replit.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'php-web-server--uniteceduc'. The second-level label 'replit' is 6 characters long containing 2 vowels alongside 4 consonants. Breaking it apart gives 2 words: rep, lit. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://php-web-server--uniteceduc.replit.app/

Page Load Overview

0.66s
Total Load Time
16 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,270 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software52% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
52%
finance banking
52%
healthcare medical
49%
cryptocurrency blockchain
49%
documentation technical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
334.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158F153AA6FD63C505243C6B46BA5A1ECDF9DEC07C70AC971349C33588F8C7C8495E688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TxKGZodxcFJ/CmjHYf+M6hfyORfmyjGrlIM6hfyORfmyjGrT:1KeuxcFdCm02MQfzf26MQfzf2T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8191:cYA05AAgQhRDgAYBMwiCFBIxEiAIQEURTJyEAMkhWJIEgANAUi0R8hCeAZEhxADa3IZQA/IUqeIAaYiBQAUvigBMAmRQBKkE

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:0000181818180000
Perceptual Hash:996666999933cccc
Difference Hash:0008103032300800
Wavelet Hash:30303838fcfcf0f0
Color Hash:#bfd279

Other Hashes

Crop Resistant:0008103032300800

Scan History

Scan history not available

Unable to load historical scan data