Wappalyzergo

A high performance port of the Wappalyzer Technology Detection Library to Go. Inspired by Webanalyze and Project Discovery

Uses data from https://github.com/AliasIO/wappalyzer

Features

• Very simple and easy to use, with clean codebase.
• Normalized regexes + auto-updating database of wappalyzer fingerprints.
• Optimized for performance: parsing HTML manually for best speed.
• Dockerized Endpoint

Getting Started

Docker Variables

• PORT: the port number to listen on
• LOG_LEVEL: log level (debug, info, warn, error)
• HTTP_PROXY: HTTP proxy address
• HTTPS_PROXY: HTTPS proxy address

API Endpoint

• Send a GET request to http://your_server_address:port?url=<url_to_analyze> to analyze a URL.
• Replace your_server_address with the IP address or domain name of the server running the application.
• Replace port with the value of the PORT variable.

Example

docker run -p 8087:8087 -e PORT=8087 -e LOG_LEVEL=info -d ghcr.io/equalifyapp/

This will start the application and expose port 8087 on the host machine. You can then access the API using the endpoint described above.

Using go install

go install -v github.com/projectdiscovery/wappalyzergo/cmd/update-fingerprints@latest

After this command wappalyzergo library source will be in your current go.mod.

Example

`` go package main import ( "fmt" "io/ioutil" "log" "net/http" wappalyzer "github.com/projectdiscovery/wappalyzergo" ) func main() { resp, err := http.DefaultClient.Get("https://www.hackerone.com") if err != nil { log.Fatal(err) } data, _ := ioutil.ReadAll(resp.Body) // Ignoring error for example wappalyzerClient, err := wappalyzer.New() fingerprints := wappalyzerClient.Fingerprint(resp.Header, data) fmt.Printf("%v\n", fingerprints) // Output: map[Acquia Cloud Platform:{} Amazon EC2:{} Apache:{} Cloudflare:{} Drupal:{} PHP:{} Percona:{} React:{} Varnish:{}] } `` /Volumes/Macintosh Hd/Users/Shared/GitHub/Orgs/TheBoatyMcBoatFace/wappalyzergo/wappalyzergo_test.go