Security Scan Report: sensors.novelflow.app

Submitted: Mar 30, 2026, 8:10:18 AMCompleted: Mar 30, 2026, 8:12:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sensors.novelflow.app and was registered NaN years ago.

Submitted URL: https://sensors.novelflow.app

The Cisco Umbrella rank of the primary domain is #209,302 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate and safe.

Safety Factors
Well‑established domain (over 3 years old)
No malicious Indicators of Compromise matches
No credential or payment collection forms
No JavaScript malware detected
Standard, non‑obfuscated JavaScript
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'sensors.novelflow.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sensors'. The core label 'novelflow' covers 9 characters with three vowels and 6 consonants. Tokenizing the label suggests two words: novel, flow. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sensors.novelflow.app

Page Load Overview

0.22s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

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
2104.18.54.152United States
AS13335Cloudflare, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iF4:qzxO965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a7fe83ec64bb23eb28090598db3d166e

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#40bf51

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data