feat(15-03): add Elasticsearch, Kibana, and Splunk ReconSource implementations

- ElasticsearchSource: POST _search API with query_string, parse hits._source
- KibanaSource: GET saved_objects/_find API with kbn-xsrf header
- SplunkSource: GET search/jobs/export API with newline-delimited JSON parsing
- All sources use ciLogKeyPattern for key detection
- Tests use httptest mocks for each API endpoint
This commit is contained in:
salvacybersec
2026-04-06 16:31:05 +03:00
parent 77a2a0b531
commit bc63ca1f2f
6 changed files with 707 additions and 0 deletions

View File

@@ -0,0 +1,123 @@
package sources
import (
"context"
"net/http"
"net/http/httptest"
"testing"
"time"
"github.com/salvacybersec/keyhunter/pkg/providers"
"github.com/salvacybersec/keyhunter/pkg/recon"
)
func TestKibana_Name(t *testing.T) {
s := &KibanaSource{}
if s.Name() != "kibana" {
t.Fatalf("expected kibana, got %s", s.Name())
}
}
func TestKibana_Enabled(t *testing.T) {
s := &KibanaSource{}
if !s.Enabled(recon.Config{}) {
t.Fatal("KibanaSource should always be enabled")
}
}
func TestKibana_Sweep(t *testing.T) {
mux := http.NewServeMux()
mux.HandleFunc("/api/saved_objects/_find", func(w http.ResponseWriter, r *http.Request) {
// Verify kbn-xsrf header is present.
if r.Header.Get("kbn-xsrf") == "" {
http.Error(w, "missing kbn-xsrf", http.StatusBadRequest)
return
}
w.Header().Set("Content-Type", "application/json")
_, _ = w.Write([]byte(`{
"saved_objects": [
{
"id": "vis-001",
"type": "visualization",
"attributes": {
"title": "API Usage",
"config": "api_key = sk-proj-ABCDEF1234567890abcdef"
}
}
]
}`))
})
srv := httptest.NewServer(mux)
defer srv.Close()
reg := providers.NewRegistryFromProviders([]providers.Provider{
{Name: "openai", Keywords: []string{"sk-proj-"}},
})
s := &KibanaSource{
BaseURL: srv.URL,
Registry: reg,
Client: NewClient(),
}
out := make(chan recon.Finding, 10)
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
err := s.Sweep(ctx, "", out)
close(out)
if err != nil {
t.Fatalf("Sweep error: %v", err)
}
var findings []recon.Finding
for f := range out {
findings = append(findings, f)
}
if len(findings) == 0 {
t.Fatal("expected at least one finding from Kibana")
}
if findings[0].SourceType != "recon:kibana" {
t.Fatalf("expected recon:kibana, got %s", findings[0].SourceType)
}
}
func TestKibana_Sweep_NoFindings(t *testing.T) {
mux := http.NewServeMux()
mux.HandleFunc("/api/saved_objects/_find", func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
_, _ = w.Write([]byte(`{"saved_objects":[]}`))
})
srv := httptest.NewServer(mux)
defer srv.Close()
reg := providers.NewRegistryFromProviders([]providers.Provider{
{Name: "openai", Keywords: []string{"sk-proj-"}},
})
s := &KibanaSource{
BaseURL: srv.URL,
Registry: reg,
Client: NewClient(),
}
out := make(chan recon.Finding, 10)
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
err := s.Sweep(ctx, "", out)
close(out)
if err != nil {
t.Fatalf("Sweep error: %v", err)
}
var findings []recon.Finding
for f := range out {
findings = append(findings, f)
}
if len(findings) != 0 {
t.Fatalf("expected no findings, got %d", len(findings))
}
}