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

Moderate Risk

Confidence: 68%

5
Risk Score

Page wears Microsoft branding on a misspelt, unranked Firebase subdomain and shows only a fake 'I am not a robot' gate with a Submit button and 'Redirecting...' title — a phishing-kit landing pattern. No credential form was captured, but do not interact.

Risk Factors (4)
Impersonation of a different entity's brand (Microsoft) on a non-official domain
Fake 'I am not a robot' gate with Submit button and 'Redirecting...' title, consistent with a phishing kit landing/filter page
Deceptive, misspelt domain name mimicking 'office docs online'
Anonymous free-hosting subdomain of unknown creation age with no reputation
Safety Factors (5)
No password, disguised-password or payment fields present in the parsed DOM
No JavaScript malware (hunting rule), no native-hunting rule high-precision hits
No network IDS/Suricata alerts and no cross-origin credential exfiltration detected
All JavaScript served from the site's own domain
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 5
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Domain Name Analysis

You're looking at domain 'ofdocsonliineaws.web.app' on the application-focused generic top-level domain (.app) with subdomain 'ofdocsonliineaws'. Count 3 characters in 'web' with 1 vowel and two consonants. It segments into one word: web. No strong language cues emerged from the frequency lists.

Screenshot

wl Microsoft PF veiender lam nota robot O

Page Load Overview

0.67s
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

T1E151629758B304625A23A1741BB577482EA59003974ADD563EDC2E94CF84B8A86F33D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TG5bvy1HlD4jTmv43nqqBnyJZWr0wJkXkZpda9oMPHqQe:TsballDYKvunrdyJZW4yK9oeqD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2459:ACAQhAAAEAABAASAFgIAAMAgIgEAGAAAUAACBiIAgBEAmAQAQJKAAoAAgAAAEIAIQgABAgBSoAAAAAABACAAABAIAC8EAACA

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