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

AI Security Verdict

Low Risk

Confidence: 62%

3
Risk Score

Dead Replit placeholder page carrying a single-source, unverified phishing report on its own domain plus an obfuscated '365'-style hostname; no forms or malware on-page, but the domain-level phishing Indicator of Compromise and lack of any legitimate identity warrant HIGH_RISK (7).

Risk Factors (4)
Reported as phishing by threat intelligence (primary-domain Indicator of Compromise, single source, unverified)
Suspicious, obfuscated subdomain string containing '365' on a free shared-hosting namespace
Domain is not ranked in Cisco Umbrella top 1M
No identifiable organization, ownership or purpose behind the hostname
Safety Factors (6)
No credential, login or payment forms present (0 password, 0 payment, 0 total forms)
No JavaScript malware patterns, no native-hunting-rule hits and no known malicious kit in the roster
No cross-origin requests or credential exfiltration detected
No network IDS alerts; no redirects
Subdomain age is unknown (platform apex age is not attributable to this page)
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

Within the application-focused generic top-level domain (.app), 'offf-1-c-365-seg--assesortcn365.replit.app' is registered with subdomain 'offf-1-c-365-seg--assesortcn365'. The core label 'replit' covers 6 characters split between two vowels and 4 consonants. Word splitting yields 2 words: rep, lit. Median word length comes out to 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

0.32s
Total Load Time
16 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

T19FF153AA6FD63C506243C6B467A5A1ECDF9DEC07C70AC975349C33588F8C7C8895E688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nxKGZodxcFJ/CmjHYf+M6hfyORfmyjGrlIM6hfyORfmyjGrT:xKeuxcFdCm02MQfzf26MQfzf2T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8176:KT4ivExxheJldwkJEWIYlgJheJEaMFn0CQAGIAkyECIAWINgcRjik7UbiLKBEAHWgkkhAAMAQRooRHgQoorvy8wCAyLMUCgH

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:0000181818180000
Perceptual Hash:996666999933cccc
Difference Hash:0008103032300800
Wavelet Hash:30303838fcfcf0f0
Color Hash:N/A

Other Hashes

Crop Resistant:0008103032300800

Scan History

Scan history not available

Unable to load historical scan data