Summary
This website contacted 8 IPs in 2 countries across 0 domains to perform 0 HTTP transactions. The main domain is comdev.thedefinetionofaappleish7n1s9kt1d.vapor.my.
Submitted URL: http://comdev.thedefinetionofaappleish7n1s9kt1d.vapor.my/
AI Security Verdict
Details
Page Title
VAPOR v4
Scan Type
public
Domain Information
The domain name 'comdev.thedefinetionofaappleish7n1s9kt1d.vapor.my' uses the Malaysian country-code top-level domain (.my), featuring subdomain 'comdev.thedefinetionofaappleish7n1s9kt1d'. Its registrable label 'vapor' stretches across 5 characters split between two vowels and three consonants. Splitting it apart reveals one word: vapor. Median word length is 5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 0 | 172.240.108.84 | United States | AS7979SERVERS-COM |
| 0 | 142.250.184.202 | United States | AS15169GOOGLE |
| 0 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.186.136 | United States | AS15169GOOGLE |
| 0 | 159.195.59.55 | Nuremberg, Bavaria, Germany | AS197540netcup GmbH |
| 0 | 172.67.69.226 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.186.163 | United States | AS15169GOOGLE |
| 0 | 172.240.253.132 | United States | AS7979SERVERS-COM |
| 0 | 8 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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