Security Scan Report: security-docs-sign--microsoft-login.replit.app

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Submitted: Jul 17, 2026, 12:45:43 AMCompleted: Jul 17, 2026, 12:48:19 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is security-docs-sign--microsoft-login.replit.app and was registered NaN years ago.

Submitted URL: https://security-docs-sign--microsoft-login.replit.app/[email protected]

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

The site impersonates Microsoft, hosts a credential‑stealing login form, and is flagged by Safe Browsing – confirmed phishing scam.

Risk Factors
Brand impersonation (Microsoft favicon and UI)
Credential harvesting form
External form action to third‑party domain
Google Safe Browsing social engineering alert
Unranked domain with no reputation
Domain age information unavailable

Details

Page Title

Enter your password

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(44%)

Domain Information

Within the application-focused generic top-level domain (.app), 'security-docs-sign--microsoft-login.replit.app' is registered and includes subdomain 'security-docs-sign--microsoft-login'. The core label 'replit' covers 6 characters split between two vowels and four consonants. Splitting it apart reveals 2 words: rep, lit. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://security-docs-sign--microsoft-login.replit.app/?email=halis7@4af7bfdb1f86b9fddf5586d04fba5a7fd65d.com

Page Load Overview

6.42s
Total Load Time
6
HTTP Requests
6
Domains
42 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:261 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software44% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
44%
documentation technical
33%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.107.246.77Azure · CLOUDUnited States
AS8075Microsoft Corporation
1146.75.120.193Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
135.190.3.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
134.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
65--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A42945AAAA3045BA543C96837E356157329C107D24BC9683FEC6398DF4BEC4DC237D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VrHWZb+qtn135pwt+szP94gzAY+yaAKJi66s9gCOQjGMSoKBkoASf:VrEk8i67XKNR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12456:KoAlEgzCQgMAebCWEEYGLEBDUlogXQuAFDCglgCQIImBJApIO+ZJIiiHqFvAkDUjbRoIjLAWWJQBGrQZCIUkAOVgLTEIjNqN

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:ffe7e7e7ffffffe7
Perceptual Hash:b333cccc66263399
Difference Hash:08080c0c0008000c
Wavelet Hash:272727270f0f1f07
Color Hash:#bfac40

Other Hashes

Crop Resistant:08080c0c0008000c

Scan History

Scan history not available

Unable to load historical scan data