Security Scan Report: obontezip--danielsplurnbin.replit.app

Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 12 domains to perform 21 HTTP transactions. The main domain is replit.app and was registered 5 years ago.

Submitted URL: https://obontezip--danielsplurnbin.replit.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Windows/mail sign-in on a replit.app subdomain that harvests a password (with hidden email), backed by Safe Browsing Social Engineering, a HIGH phishing IDS alert and a Telegram exfiltration token.

Risk Factors (6)
Google Safe Browsing Social Engineering threat
HIGH-severity network IDS phishing alert
Credential collection form (password field + hidden email field) behind a fake authentication prompt
Telegram bot token embedded in inline script enabling exfiltration of harvested credentials
Impersonation of a Windows/Microsoft-style mail authentication dialog on a non-Microsoft, user-published replit.app subdomain
Fabricated device/time/location context and fake 'attempt(s) left' error to pressure victims
Domain age information unavailable

Details

Page Title

PORTAL - Mail Authentication

Scan Type

public

Domain Name Analysis

The domain 'obontezip--danielsplurnbin.replit.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'obontezip--danielsplurnbin'. Its registrable label 'replit' stretches across 6 characters split between 2 vowels and 4 consonants. Splitting it apart reveals two words: rep, lit. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://obontezip--danielsplurnbin.replit.app/

Page Load Overview

2.83s
Total Load Time
563 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:339 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
634.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1178.237.33.50Almere Stad, Flevoland, Netherlands
AS8455atom86 BV
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1184.24.77.133Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.107.213.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1100.48.33.35Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2116--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D0497A9D14C04D16772C41BAF78B3E8A1B9F73AC8550CAAF82E580C4FC9B5525C2F79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nOwMCMPMCMjMCM4MCMwMCM3sVMX709gbPMfjSFOTyPGuuprrlCFLVSG/y5lZf9rc:S709gMGFiyPGuuprlCFLVSG/yvIgVi5r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187200:YqSWv2GAQVEJEUKAAiDQAEDho8MDYgEUkWIuigBk6CIqGBCJBCqDKCDogEDSQA5igLeI0IgYseAMSG3DCIeyGiqAAAVIoAGA

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:ffe7e7e7e7e7ffff
Perceptual Hash:b399cc6633998c66
Difference Hash:000c0c4c4d0c0800
Wavelet Hash:2727272727270f0f
Color Hash:#3a862d

Other Hashes

Crop Resistant:000c0c4c4d0c0800

Scan History

Scan history not available

Unable to load historical scan data