Security Scan Report: offf-1-c-365-seg--assesortcn365.replit.app

Submitted: Jul 16, 2026, 12:50:44 AMCompleted: Jul 16, 2026, 12:53:20 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is offf-1-c-365-seg--assesortcn365.replit.app and was registered NaN years ago.

Submitted URL: https://offf-1-c-365-seg--assesortcn365.replit.app/

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site shows a placeholder page with no forms or malicious activity; it is legitimate.

Safety Factors
Established domain age
No malicious signals
Hosted on reputable platform (replit.app)
Domain age information unavailable

Details

Page Title

This app isn't live yet

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(52%)

Domain Information

Domain 'offf-1-c-365-seg--assesortcn365.replit.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'offf-1-c-365-seg--assesortcn365'. Count 6 characters in 'replit' with 2 vowels and four consonants. Breaking it apart gives 2 words: rep, lit. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://offf-1-c-365-seg--assesortcn365.replit.app/

Page Load Overview

0.54s
Total Load Time
4
HTTP Requests
3
Domains
22 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
234.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google 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:#3a7864

Other Hashes

Crop Resistant:0008301230701400

Scan History

Scan history not available

Unable to load historical scan data