ScanMalware.com

Security Scan Report: www.nowadais.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/1b90efae-9e4b-4789-9f2d-b006a5a03229Domain and IP registration (RDAP)/api/v1/rdap/1b90efae-9e4b-4789-9f2d-b006a5a03229How often this domain was scanned/api/v1/domain/stats/nowadais.comScan history for this domain/api/v1/domain/history/nowadais.com?limit=15
This website contacted 15 IPs in 2 countries across 13 domains to perform 107 HTTP transactions. The main domain is nowadais.com and was registered 2 years 12 months ago.

Submitted URL: https://www.nowadais.com/meta-muse-spark-ai-model-benchmarks/

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

The page appears legitimate with no malicious indicators.

Safety Factors (4)
Established domain age (1049 days)
Self‑branding aligns with domain
No external redirects
No suspicious external links handling credentials
Domain age information unavailable

Details

Page Title

Meta Muse Spark AI Model Benchmarks: Competitive But Not Leading

Scan Type

public

Domain Name Analysis

Domain 'www.nowadais.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'nowadais' covers 8 characters with four vowels and four consonants. Breaking it apart gives 3 words: now, ada, is. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.nowadais.com/meta-muse-spark-ai-model-benchmarks/

Page Load Overview

3.44s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:13,053 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
82%
news/blog
50%
corporate
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7136.243.106.228Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
7142.251.153.119Google · CDNUnited States
AS15169Google LLC
7142.251.13.132Google · CDNUnited States
AS15169Google LLC
7142.251.150.119Google · CDNUnited States
AS15169Google LLC
7142.250.154.156Google · CDNUnited States
AS15169Google LLC
7142.250.154.155Google · CDNUnited States
AS15169Google LLC
7142.251.127.97Google · CDNUnited States
AS15169Google LLC
7142.251.20.155Google · CDNUnited States
AS15169Google LLC
7142.251.20.156Google · CDNUnited States
AS15169Google LLC
10715--

Detected Technologies11

WordPressv7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
LiteSpeed
40%
HTTP/3
40%
Google Analytics
35%
LiteSpeed Cache
20%
Google AdSense
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117A30A33A1982114FA1BD22AF5C1B7586724A113DA072ADDF4B2A47CCFCF5E1167AB4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:biZypfLCP3/wdxQVNXQMbfIC36Atrxizm:bvKwx0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103449:AQFa4nBshCgCiAgBghAAiBHlCKDGjMgOaZRYmREFgWoyihcolZD6EhBwJAS6BQIJi9MhJFiDpAIKoMTBmohTIBARCgQRJBAo

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:ffffdfc7838383d7
Perceptual Hash:bcc3c33ec926c23c
Difference Hash:4d0f2e1e362e2e3e
Wavelet Hash:e7c387c783838387
Color Hash:#2d862d

Other Hashes

Crop Resistant:4d0f2e1e362e2e3e,4cecdce5e4ec71fc

Scan History

Scan history not available

Unable to load historical scan data