Security Scan Report: ofdocsonliineaws.web.app

Submitted: Jul 11, 2026, 2:51:53 AMCompleted: Jul 11, 2026, 2:53:09 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is ofdocsonliineaws.web.app and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk site with no malicious indicators; safe for normal browsing.

Risk Factors
Domain is unranked in Cisco Umbrella
Domain age unknown (could be newly created)
Safety Factors
No credential or payment collection
No malicious JavaScript behavior
No external malicious resources loaded
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'ofdocsonliineaws.web.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ofdocsonliineaws'. Count 3 characters in 'web' split between 1 vowel and two consonants. Tokenizing the label suggests 1 word: web. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ofdocsonliineaws.web.app/

Page Load Overview

0.29s
Total Load Time
4
HTTP Requests
3
Domains
9 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
2199.36.158.100United 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:30303c24e4fccccc
Color Hash:#79d285

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data