Security Scan Report: acesorvirtual-365--segoffice365.replit.app

Submitted: Jul 23, 2026, 6:50:46 PMCompleted: Jul 23, 2026, 6:53:01 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

No malicious activity detected; site appears legitimate and inactive.

Safety Factors (4)
No forms detected
No malicious indicators (IoC, YARA, IDS)
Domain age >5 years (well‑established)
Hosted on reputable platform (replit.app)
Domain age information unavailable

Details

Page Title

This app isn't live yet

Scan Type

public

Domain Name Analysis

The domain name 'acesorvirtual-365--segoffice365.replit.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'acesorvirtual-365--segoffice365'. Its registrable label 'replit' stretches across 6 characters with 2 vowels and 4 consonants. Breaking it apart gives 2 words: rep, lit. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://acesorvirtual-365--segoffice365.replit.app/

Page Load Overview

0.42s
Total Load Time
38 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
234.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2172.217.208.95Google · CDNUnited States
AS15169Google LLC
42--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16AE13DAA2ED63C401643D6B0AAB5A1FCDE9DDC5B8709C875345C7258CF8C7889C9E298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nxK0UTCh7cWyZ6nVHYf+M6hfyORfmyjGrlIM6hfyORfmyjGrT:xK0ICh7c3OW2MQfzf26MQfzf2T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7132:MDoIkKCQwAUWWnAxAgAAlBA0IGABBRAAKAhowgioIi8IwDpBM0AAULIDgAglLWHRAaBQvGYiGgB8ECBIAcEDLFDgBgQAACAm

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:000018183c3c0000
Perceptual Hash:996666d93331cc66
Difference Hash:0008301230701400
Wavelet Hash:0c0c1c1c3c3c0000
Color Hash:#2dd259

Other Hashes

Crop Resistant:0008301230701400

Scan History

Scan history not available

Unable to load historical scan data