Security Scan Report: secure-static-site--dgtoney.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://secure-static-site--dgtoney.replit.app/

AI Security Verdict

Low Risk

Confidence: 68%

3
Risk Score

Replit placeholder page with no live content or forms, but its primary domain carries a single-source phishing report and a deceptive 'secure-static-site' hostname; treat as hostile infrastructure and avoid interaction.

Risk Factors (3)
Primary-domain phishing listing in threat intelligence (PhishDestroy), even though single-source and unverified
Deceptive 'secure-static-site--' hostname prefix combined with a brand-like token on a free instant-publishing subdomain
Unranked, no reputation, content unpublished/unreachable — consistent with a staged or abandoned phishing lure
Safety Factors (5)
No forms, no password fields, no payment fields, and no disguised password fields on the captured DOM
No credential exfiltration, cross-origin form submission, or suspicious JavaScript behaviour
No hunting rule malware matches, no native-hunting rule high-precision hits, no Suricata IDS alerts
No signs of impersonating a specific brand on the rendered page (placeholder text only)
No concrete malicious signal (no IoC / hunting rule / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 3
Domain age information unavailable

Details

Page Title

This app isn't live yet

Scan Type

public

Domain Name Analysis

Domain 'secure-static-site--dgtoney.replit.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'secure-static-site--dgtoney'. Count 6 characters in 'replit' with two vowels and 4 consonants. Word splitting yields two words: rep, lit. Expect three characters per word on average. 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

0.33s
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
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

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:N/A

Other Hashes

Crop Resistant:0008103032300800

Scan History

Scan history not available

Unable to load historical scan data