ScanMalware.com

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

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/99c03028-1efb-4448-b8b2-84fd888e43bfDomain and IP registration (RDAP)/api/v1/rdap/99c03028-1efb-4448-b8b2-84fd888e43bfHow often this domain was scanned/api/v1/domain/stats/offf-1-c-365-seg--assesortcn365.replit.appScan history for this domain/api/v1/domain/history/offf-1-c-365-seg--assesortcn365.replit.app?limit=15
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://offf-1-c-365-seg--assesortcn365.replit.app/

AI Security Verdict

Low Risk

Confidence: 68%

3
Risk Score

Replit placeholder app on a kit-style subdomain whose primary domain is reported as phishing (single-source, unverified); no forms were served, but the phishing report on the page's own domain drives a high-risk rating. Avoid.

Risk Factors (4)
Single-source phishing report tied to the page's primary domain.
Kit-style randomized subdomain naming on a free shared-hosting platform.
Content has been unpublished, which often follows abuse takedown action.
Domain age is not attributable to this page (shared-hosting tenant on replit.app) and cannot offset the phishing report.
Safety Factors (5)
No forms of any kind; nothing to harvest credentials or payment data on the live page.
No JavaScript behavioral signals, obfuscation, or cross-origin credential exfiltration.
No native-hunting rule, kit-roster, or network IDS hits.
Page is a plain platform placeholder with no brand impersonation.
No concrete malicious signal: the threat-feed matches name third-party or shared hosts, or rest on a single feed or a reputation label, so they were not counted; no hunting rule / Safe-Browsing / IDS / credential form / brand impersonation either. 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 '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'. The core label 'replit' covers 6 characters holding 2 vowels versus 4 consonants. Tokenizing the label suggests two words: rep, lit. Median word length comes out to three characters. 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

0.40s
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

Replit
100%
Google Cloud
50%
HTTP/3
40%
Google Cloud CDN
40%

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