Security Scan Report: ofdocsonliineaws.web.app

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 3 domains to perform 4 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://ofdocsonliineaws.web.app/

AI Security Verdict

High Risk

Confidence: 74%

8
Risk Score

Fake 'Microsoft Defender' CAPTCHA page on a look-alike .web.app host that only says 'Redirecting...' — classic impersonation/redirect lure with a flagged third-party resource. Do not click Submit.

Risk Factors (4)
Impersonation of Microsoft Defender on an unrelated hosting subdomain
Fake 'I am not a robot' CAPTCHA that exists only to drive a redirect ('Redirecting...')
Look-alike hostname on a free shared-hosting namespace with no attribution
Page loads resources from a domain flagged as a known attacker (single-source community report)
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Domain Name Analysis

The domain 'ofdocsonliineaws.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'ofdocsonliineaws'. The registrable portion 'web' spans 3 characters split between 1 vowel and two consonants. Word splitting yields 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Microsoft IF) Delender 1am not a robot

Page Load Overview

0.38s
Total Load Time
11 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:38 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
23.161.76.68Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
42--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14951A79718B304525A3361B01FB563486A75E003D70ADD563FDC2A98CF84A8982F33D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nG5bvy1HlD4jTmv43nqqBnyJnMaWrxPewJkXkZpda9oMPHqQe:nsballDYKvunrdyJXWEyK9oeqD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2528:QgIMAABMAACAACBAMAAAEAJAIQCAAIAAAABCDoAAQEAAAAAAIgCIgIAAAAAABgAUAQAAAEDCoAAEiAAAkAEAAAEAEGAAACIE

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:ffffffe7e7ffffff
Perceptual Hash:b399cc263399cc66
Difference Hash:0000000808000000
Wavelet Hash:3f3f3f2720380c0c
Color Hash:N/A

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data