Security Scan Report: revayah.app

Redirected to:
https://www.revayah.app/
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Submitted: Jun 26, 2026, 5:49:29 PMCompleted: Jun 26, 2026, 5:50:14 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 8 domains to perform 3 HTTP transactions. The main domain is revayah.app and was registered NaN years ago.

Submitted URL: https://revayah.app

Effective URL: https://www.revayah.app/Redirected

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

The site shows its own brand, has no credential or payment forms, and lacks any malicious indicators – it is classified as legitimate.

Safety Factors
Self‑branding aligns with domain
Absence of forms that collect credentials or payments
No malicious IoC, YARA, or IDS alerts
Low JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

Revayah - Jewish stories app | Download Now

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(62%)

Domain Information

You're looking at domain 'revayah.app' on the application-focused generic top-level domain (.app) without a subdomain. Its registrable label 'revayah' stretches across 7 characters with three vowels and four consonants. Splitting it apart reveals three words: rev, a, yah. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://revayah.app

Page Load Overview

26.45s
Total Load Time
126
HTTP Requests
8
Domains
987 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:1,932 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing62% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
62%
education learning
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1844.208.153.185Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
1834.149.206.255Kansas City, Missouri, United States
AS396982Google LLC
1834.149.87.45Kansas City, Missouri, United States
AS396982Google LLC
1865.8.131.55United States
AS16509Amazon.com, Inc.
18185.230.63.107Ashburn, Virginia, United States
AS58182Wix.com Ltd.
18151.101.130.217United States
AS54113Fastly, Inc.
1834.49.229.81Kansas City, Missouri, United States
AS396982Google LLC
1267--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150A46DF07700A03C5E97716E6789BA0D56247151DE910ABEB6FC922826D3FF112E3F1A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RdzSgXG9iskMpD1Q0T94z01k2tkVT94z0vfEhJMFo5AwjaFuc8w1Dw6wbwkYmYYi:RdzW9iskMp6/EhBWFucNwEFYcEUdN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:470717:KIKAwIpWEgAAJj8qAq+ESAIaIh0DMFiMgGMJyfThbCQQQCDwXBowgohwJJQNyFfQBVIJMELCAB0EJYEQjQUgAkxuQAbOCIIE

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:0420302000ffffff
Perceptual Hash:c216b6b233d79616
Difference Hash:5d616541d9494941
Wavelet Hash:0430302101ffffff
Color Hash:#8779d2

Other Hashes

Scan History

Scan history not available

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