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: 78%

8
Risk Score

Fake Microsoft Defender 'I am not a robot' page on free hosting with a lookalike subdomain and a redirect — a verification lure, not a real check. Do not click.

Risk Factors (5)
Impersonation of Microsoft Defender on a non-Microsoft domain
Fake 'I am not a robot' verification form used as an interaction lure with an immediate redirect
Deceptive, brand-lookalike subdomain on free shared hosting
Third-party resource from a domain reported as a known attacker
No verifiable identity, no ranking, unknown tenant age
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Domain Name Analysis

The domain name 'ofdocsonliineaws.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'ofdocsonliineaws'. Count 3 characters in 'web' split between 1 vowel and 2 consonants. Segmentation suggests one word: web. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Microsoft IF) Delender 1am not a robot

Page Load Overview

0.71s
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