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

Submitted: Sep 24, 2026, 10:50:25 PMCompleted: Sep 24, 2026, 10:51:31 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 68%

3
Risk Score

Single-source phishing report on the primary domain plus a disposable scam-pattern hostname. Page currently serves only a Replit 'not live' placeholder with no forms, so treat as a staged/likely phishing deployment — avoid.

Risk Factors
Single-source phishing threat-intel match on the primary domain
Disposable/suspicious subdomain naming on a free instant-publishing platform
No brand, no organization identification, no legitimate purpose content
Safety Factors
No forms of any kind (0 password, 0 payment, 0 total) — no credential or payment capture on the served page
No JavaScript malware or YARA hits
No network IDS alerts
No cross-origin form submission or credential exfiltration detected
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — 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 name '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'. The core label 'replit' covers 6 characters split between two vowels and four consonants. Segmentation suggests two words: rep, lit. The median word length lands at three 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

0.75s
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
49%
cryptocurrency blockchain
49%
documentation technical
48%

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 Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158F153AA6FD63C505243C6B46BA5A1ECDF9DEC07C70AC971349C33588F8C7C8495E688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TxKGZodxcFJ/CmjHYf+M6hfyORfmyjGrlIM6hfyORfmyjGrT:1KeuxcFdCm02MQfzf26MQfzf2T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8191:cYA05AAgQhRDgAYBMwiCFBIxEiAIQEURTJyEAMkhWJIEgANAUi0R8hCeAZEhxADa3IZQA/IUqeIAaYiBQAUvigBMAmRQBKkE

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:#878ec5

Other Hashes

Crop Resistant:0008103032300800

Scan History

Scan history not available

Unable to load historical scan data