Security Scan Report: security-server-website--danlelbacker.replit.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is replit.app and was registered 5 years ago.

Submitted URL: https://security-server-website--danlelbacker.replit.app/

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Domain carries a single-source, unverified phishing report and an unknown-age Replit tenant subdomain; the page itself is an empty 'app isn't live yet' placeholder with no forms or scripts. Treat as high-risk pending corroboration, but no evidence of an active kit here.

Risk Factors (3)
Single-source, unverified phishing report against the scanned primary domain
Instant-publish shared hosting tenant with unknown page age and no reputation
Security-themed subdomain naming that resembles a lure pattern
Safety Factors (5)
No forms of any kind (0 password, 0 payment fields) and no credential exfiltration
No JavaScript malware, no obfuscated or cross-origin script behaviour
No network IDS alerts and no high-precision hunting-rule hits
No brand impersonation: the page displays only Replit's own hosting notice
No concrete malicious signal: the threat-feed matches name third-party or shared hosts, or rest on a single feed or a reputation label, so they were not counted; no hunting rule / Safe-Browsing / IDS / credential form / brand impersonation either. Elevated risk rested on domain age or reputation alone; clamped from 7 to 5
Domain age information unavailable

Details

Page Title

This app isn't live yet

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'security-server-website--danlelbacker.replit.app' is registered with subdomain 'security-server-website--danlelbacker'. Count 6 characters in 'replit' with two vowels and four consonants. Word splitting yields two words: rep, lit. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

This app isn't live yet We couldn't find a Replit App at this address. If you're the owner, publish your app to make it reachable. © Learn how to publish your app on Replit © Learn more about hosti...

Page Load Overview

0.27s
Total Load Time
17 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
50%
cryptocurrency blockchain
49%
documentation technical
47%

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 Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B0241AA6FD63C506203C6B46BA9A1ECEF9DDC07C30AC97135DC72588F4D7C8485E288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nxK+ZLsGhMxcFRg/CmjHYf+M6hfyORfmyjGrlIM6hfyORfmyjGrT:xK2YGhMxcFRCCm02MQfzf26MQfzf2T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8336:LTqDvExzpeJhdggBEWAYlgJh+KcSMFn0CAwGMAkykCMAWIMwcBhik7UbALCYEAHSgkghAAIBABogBniAosrty8wAAyJEUCgH

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:ffffe7e7e7e7ffff
Perceptual Hash:e699992666cc6633
Difference Hash:0010080c4c0c1000
Wavelet Hash:0f0f030307073f3f
Color Hash:07000000000

Other Hashes

Crop Resistant:0010080c4c0c1000

Scan History

Scan history not available

Unable to load historical scan data