Security Scan Report: security-server-landing-page--winterwaldemar1.replit.app

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Submitted: Sep 30, 2026, 1:50:29 PMCompleted: Sep 30, 2026, 1:51:04 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Microsoft account security-verification login on a free replit.app subdomain. Harvests email and password via a cloned Microsoft sign-in form. Do not enter credentials; report immediately.

Risk Factors (4)
Impersonation of Microsoft's account login on a non-Microsoft domain
Credential harvesting form (email + password) on attacker-controlled hosting platform subdomain
Shared/free instant-publishing namespace (replit.app) — page age unknown and not attributable to the platform apex
Unranked domain claiming to be a major brand's security verification
Domain age information unavailable

Details

Page Title

Security verification - Microsoft account

Scan Type

public

Domain Name Analysis

The domain 'security-server-landing-page--winterwaldemar1.replit.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'security-server-landing-page--winterwaldemar1'. The core label 'replit' covers 6 characters holding 2 vowels versus four consonants. Breaking it apart gives two words: rep, lit. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://security-server-landing-page--winterwaldemar1.replit.app/

Page Load Overview

0.40s
Total Load Time
81 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:578 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
government public service
40%
documentation technical
31%
blog personal website
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
734.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0142.251.13.95Google · CDNUnited States
AS15169Google LLC
02.21.20.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
035.190.3.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
023.52.181.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
78--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A62843D696A3A017423D06C777A83063677B203D946C51379DD468CCF4AE9EAEB239C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:YiBIG3DxgN5Ps1PbOX8BwduJ/z2SXdor1w2LH/5u6yH7Q9MPwg9PtyJ3bTziTJJ1:9IeScSbTOTJJixvA+Qj1N1qgWAV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15901:0mNglCIABJoh6aqMSQQlADASmAQgEZsGEgFpEFisKUZRgHVgmBAQIgwAEECASR3BkB6RJICiCi2mwCoNARi0Q3JEGZcQQhRg

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:ffffffe7e7fefffe
Perceptual Hash:d5aa55aa55aa54aa
Difference Hash:0000000808000000
Wavelet Hash:ccccfce4e0f0c0c0
Color Hash:#6d862d

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data