Security Scan Report: auntenticar-2-pasos--revision36593.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://auntenticar-2-pasos--revision36593.replit.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Dead Replit placeholder for an unpublished app named 'auntenticar-2-pasos--revision36593'. No forms, no content, no threat-intel or malware signals. Suspicious-looking name only; nothing malicious served.

Risk Factors (2)
Subdomain label 'auntenticar-2-pasos--revision36593' evokes Spanish-language two-factor authentication, a common phishing lure theme, while hosting no published content
Unranked in Cisco Umbrella and tenant sits on a shared instant-publishing namespace, so the operator is unverified
Safety Factors (3)
No live content at all — nothing is served to a visitor beyond the platform's own placeholder page
No forms, no input fields, no password or card capture
No Indicators of Compromise, no malware patterns, no network alerts, no third-party scripts
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), 'auntenticar-2-pasos--revision36593.replit.app' is registered with subdomain 'auntenticar-2-pasos--revision36593'. The core label 'replit' covers 6 characters split between 2 vowels and four consonants. Segmentation suggests 2 words: rep, lit. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://auntenticar-2-pasos--revision36593.replit.app/

Page Load Overview

0.47s
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:N/A

Other Hashes

Crop Resistant:0010080c4c0c1000

Scan History

Scan history not available

Unable to load historical scan data