ScanMalware.com

Security Scan Report: app.nayya.com

Redirected to:
https://app.nayya.com/users/sign_in
Site favicon
Submitted: May 12, 2026, 6:35:13 AMCompleted: May 12, 2026, 6:37:49 AMpubliccompleted
Loading additional data...

Summary

This website contacted 37 IPs in 3 countries across 30 domains to perform 77 HTTP transactions. The main domain is app.nayya.com and was registered NaN years ago.

Submitted URL: https://app.nayya.com

Effective URL: https://app.nayya.com/users/sign_inRedirected

The Cisco Umbrella rank of the primary domain is #134,040 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site appears to be a legitimate login page for Nayya with no malicious indicators.

Safety Factors
Established domain age
Brand matches domain
Only email fields, no credential collection
No malicious IoC or IDS alerts
Domain age information unavailable

Details

Page Title

Sign In - Nayya

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

healthcare medical

(42%)

Domain Information

Within the commercial generic top-level domain (.com), 'app.nayya.com' is registered and includes subdomain 'app'. The registrable portion 'nayya' spans 5 characters split between 2 vowels and 3 consonants. Splitting it apart reveals 2 words: n, ayya. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.nayya.com

Page Load Overview

14.13s
Total Load Time
77
HTTP Requests
30
Domains
3.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:243 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical42% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.14.104United States
AS13335Cloudflare, Inc.
244.205.242.92Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
232.196.184.135Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2100.50.244.135Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2142.251.13.94United States
AS15169Google LLC
2216.198.54.3United States
AS209242Cloudflare London, LLC
2216.198.53.11United States
AS209242Cloudflare London, LLC
2142.251.127.155United States
AS15169Google LLC
23.233.158.26Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2142.251.14.97United States
AS15169Google LLC
7737--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D693B5675F51180C202B1ADFBDA5EA19B1D6C6875302B9DFB8AD84FF4B8B1F82460347

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:65BYp/RVmiax3QxQKyStAe8BkAeiG9A0eXq1F6gftZL/jXfUv2a4n:65BSmi6d7ez9A0eXq1F6gf7L/jXfM2aM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92500:BsgQ4lgLgWDeQRGQV1IIGSQkY6SUg6AcoAcGBBAYEQSDAtAZIZcjAGCA0WyBhJxOLCMjC2EoAA2CCMGhmwBhLoMjMKckMDBI

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:0f0f0f0f0f0f0f0e
Perceptual Hash:b9bb44b944916e99
Difference Hash:1a1a1b5b5b1b587a
Wavelet Hash:0f0f0f0f0f0f0f0f
Color Hash:#79d2af

Other Hashes

Crop Resistant:08000c0c0c0c0004,1a1a1b5b5b1b587a

Scan History

Scan history not available

Unable to load historical scan data