Security Scan Report: security-server-landing-page--009wq.replit.app

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Submitted: Completed: publiccompleted
This website contacted 14 IPs in 2 countries across 11 domains to perform 16 HTTP transactions. The main domain is replit.app and was registered 5 years ago.

Submitted URL: https://security-server-landing-page--009wq.replit.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Microsoft credential-phishing page on a Replit subdomain: fake 'sensitive file' sign-in harvesting passwords with a Telegram bot token exfiltration channel. Do not enter credentials.

Risk Factors (5)
Impersonation of the Microsoft brand/login experience on an unrelated subdomain
Credential-harvesting form (password field) on a free shared-hosting tenant with no reputation
Telegram bot token in inline script — built-in exfiltration channel for stolen input
Deceptive 'sensitive file / verify your identity' social-engineering pretext
Password field without username field, consistent with a phishing kit
Domain age information unavailable

Details

Page Title

Microsoft | Login

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'security-server-landing-page--009wq.replit.app' is registered with subdomain 'security-server-landing-page--009wq'. The core label 'replit' covers 6 characters split between two vowels and 4 consonants. Breaking it apart gives 2 words: rep, lit. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

HH Microsoft Sign In Because you're accessing a sensitive file, you need to verify your identity. Email, phone, or Skype No account? Create one! Can't access your account? | | ® Sign in options...

Page Load Overview

1.32s
Total Load Time
793 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:437 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
47%
technology software
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
234.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
213.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
135.190.3.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1195.80.159.133France
AS29152Decknet SARL
1614--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15734431FE8F212991C43947817EA6BA57379C003CA19FDBA7D8E7354CF4E6848D62B48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ffm0VHSXf28zNta3cjyHE9uc6BcgGk9Byf/MuSj+Yrj0YYM2pNhxQx/BCD:5SXeDuSj+Yrj0YY2x/BCD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:242695:HYlAEAKFAoWsloRAgHQgYmTJjqYSRwJASylBRYHEFo4ZpRYiChSA0AoJhgNUMEogq58DCMCYkBszgDCECCQiEQQJAwBpQcBI

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:f8f8fcfebffb7f00
Perceptual Hash:c9cc43aa55a457b3
Difference Hash:e2b0903673c799d8
Wavelet Hash:f0f8fcda9d294d00
Color Hash:07042008000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data