Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is dashlabs.app and was registered NaN years ago.
Submitted URL: https://dashlabs.app
Effective URL: https://www.dashlabs.app/accounts?redirectUrl=https%3A%2F%2Fwww.dashlabs.app%2FRedirected
The Cisco Umbrella rank of the primary domain is #811,488 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
No malicious activity detected; site appears legitimate and low risk.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
technology software
(67%)Domain Information
Domain 'dashlabs.app' uses the application-focused generic top-level domain (.app) and has no subdomain. Count 8 characters in 'dashlabs' containing 2 vowels alongside 6 consonants. Breaking it apart gives two words: dash, labs. Expect four characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 26 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 25 | 104.18.29.74Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 51 | 2 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data