Security Scan Report: doc-sign-online--microsoftlogs.replit.app

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Submitted: Aug 6, 2026, 1:45:02 AMCompleted: Aug 6, 2026, 1:46:09 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Site mimics Microsoft login, collects credentials via external form; treat as high‑risk phishing.

Risk Factors (4)
Brand impersonation of a major entity
Credential collection on non‑official domain
External form submission endpoint
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

Login Screen

Scan Type

public

Domain Name Analysis

The domain 'doc-sign-online--microsoftlogs.replit.app' uses the application-focused generic top-level domain (.app) with subdomain 'doc-sign-online--microsoftlogs'. The second-level label 'replit' is 6 characters long containing two vowels alongside 4 consonants. Splitting it apart reveals two words: rep, lit. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://doc-sign-online--microsoftlogs.replit.app/

Page Load Overview

1.33s
Total Load Time
76 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:355 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
39%
documentation technical
26%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2144.161.106.163United States
AS797AT&T Services, Inc.
134.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
135.190.3.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
54--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166428386A9A3084BB543882837E257163665C007C50BC9683FEC639CDF4BEC9DD237AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VrODWpV5enwiJzYNwu6bG94HQzAY+yaAKSCOPjm4KbBNG80zAjcmOeBWf:VrO5COK0ImOeBO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12037:g7AMWQB2GiYUNAplsaAMkI8IRcgYlQkiAtCVhHSLAAEWChhBWoAhwkmI4uALUEA8wzoCkAEDZB9hGLJQfARsiTg0Sm6AGSIf

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:e7e7e7e7ffffffe7
Perceptual Hash:b333cccc66668c99
Difference Hash:0c0c0c4d0800000e
Wavelet Hash:20202424e7ffffc3
Color Hash:#d279c3

Other Hashes

Crop Resistant:0c0c0c4d0800000e

Scan History

Scan history not available

Unable to load historical scan data