Security Scan: This app isn't live yet

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/6fd06117-5b37-4034-b956-b3889469f57a Domain and IP registration (RDAP)/api/v1/rdap/6fd06117-5b37-4034-b956-b3889469f57aHow often this domain was scanned/api/v1/domain/stats/offf-1-c-365-seg--assesortcn365.replit.app Scan 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: 62%

Risk Score

Dormant Replit placeholder with no forms or scripts, but its primary domain carries an unverified single-source phishing report and the hostname looks like a generated lure; treat as high-risk until cleared.

Risk Factors (3)

Single-source phishing report against the primary domain (unverified, but on the scanned host itself)

Obfuscated/generated-looking hostname suggesting a throwaway lure subdomain

Dormant placeholder page on a free instant-publishing platform — content cannot be validated

Safety Factors (4)

Verified DOM facts: 0 forms, 0 password fields, 0 payment fields — no data collection on this page

No JavaScript malware patterns, no credential exfiltration, no cross-origin form submissions

No network IDS alerts and no known malicious kit in the roster

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

The domain 'offf-1-c-365-seg--assesortcn365.replit.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'offf-1-c-365-seg--assesortcn365'. Its registrable label 'replit' stretches across 6 characters holding 2 vowels versus 4 consonants. Word splitting yields two words: rep, lit. The median word length lands at 3 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

Requests	IP Address	Location	AS Autonomous System
3	34.117.33.233Google · CDN	Kansas City, Missouri, United States	AS396982Google LLC
3	1	-	-

Detected Technologies4

100%

50%

40%

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

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