Files
trufflehog/pkg/detectors/datadogapikey/datadogapikey.go
Miccah ab5dd03ee0 Make detector Result.SecretParts initialization stricter (#4948)
* Update linter to disallow assigning SecretParts later

This means all detectors.Result objects must be created with the
SecretParts field set.

* Update documentation

* Migrate existing detectors to always initialize SecretParts
2026-05-05 08:30:41 -07:00

128 lines
3.8 KiB
Go

package datadogapikey
import (
"context"
"fmt"
"io"
"net/http"
"strings"
"github.com/trufflesecurity/trufflehog/v3/pkg/common"
"github.com/trufflesecurity/trufflehog/v3/pkg/detectors"
"github.com/trufflesecurity/trufflehog/v3/pkg/pb/detector_typepb"
regexp "github.com/wasilibs/go-re2"
)
type Scanner struct {
client *http.Client
detectors.EndpointSetter
detectors.DefaultMultiPartCredentialProvider
}
// Ensure the Scanner satisfies the interface at compile time.
var _ detectors.Detector = (*Scanner)(nil)
var _ detectors.EndpointCustomizer = (*Scanner)(nil)
var _ detectors.CloudProvider = (*Scanner)(nil)
func (Scanner) CloudEndpoint() string { return "https://api.datadoghq.com" }
var (
client = common.SaneHttpClient()
// Make sure that your group is surrounded in boundary characters such as below to reduce false positives.
apiKeyPat = regexp.MustCompile(detectors.PrefixRegex([]string{"datadog", "dd"}) + `\b([a-zA-Z0-9-]{32})\b`)
datadogURLPat = regexp.MustCompile(`\b(api(?:\.[a-z0-9-]+)?\.(?:datadoghq|ddog-gov)\.(com|eu))\b`)
)
// Keywords are used for efficiently pre-filtering chunks.
// Use identifiers in the secret preferably, or the provider name.
func (s Scanner) Keywords() []string {
return []string{"datadog", "ddog-gov"}
}
func (s Scanner) getClient() *http.Client {
if s.client != nil {
return s.client
}
return client
}
// FromData will find and optionally verify DatadogToken secrets in a given set of bytes.
func (s Scanner) FromData(ctx context.Context, verify bool, data []byte) (results []detectors.Result, err error) {
dataStr := string(data)
apiMatches := apiKeyPat.FindAllStringSubmatch(dataStr, -1)
var uniqueFoundUrls = make(map[string]struct{})
for _, matches := range datadogURLPat.FindAllStringSubmatch(dataStr, -1) {
uniqueFoundUrls[matches[1]] = struct{}{}
}
endpoints := make([]string, 0, len(uniqueFoundUrls))
for endpoint := range uniqueFoundUrls {
endpoints = append(endpoints, "https://"+endpoint)
}
for _, apiMatch := range apiMatches {
resApiMatch := strings.TrimSpace(apiMatch[1])
s1 := detectors.Result{
DetectorType: detector_typepb.DetectorType_DatadogApikey,
Raw: []byte(resApiMatch),
SecretParts: map[string]string{"api_key": resApiMatch},
}
if verify {
for _, baseURL := range s.Endpoints(endpoints...) {
client := s.getClient()
isVerified, verificationErr := verifyMatch(ctx, client, resApiMatch, baseURL)
if isVerified {
s1.Verified = isVerified
s1.SecretParts["endpoint"] = baseURL
// break the loop once we've successfully validated the token against a baseURL
break
}
s1.SetVerificationError(verificationErr, resApiMatch)
}
}
results = append(results, s1)
}
return results, nil
}
func verifyMatch(ctx context.Context, client *http.Client, apiKey, baseUrl string) (bool, error) {
// Reference: https://docs.datadoghq.com/api/latest/authentication/
req, err := http.NewRequestWithContext(ctx, http.MethodGet, baseUrl+"/api/v1/validate", http.NoBody)
if err != nil {
return false, err
}
req.Header.Add("DD-API-KEY", apiKey)
res, err := client.Do(req)
if err != nil {
return false, err
}
defer func() {
_, _ = io.Copy(io.Discard, res.Body)
_ = res.Body.Close()
}()
switch res.StatusCode {
case http.StatusOK:
return true, nil
case http.StatusForbidden:
return false, nil
case http.StatusTooManyRequests:
return false, fmt.Errorf("too many requests")
default:
return false, fmt.Errorf("unexpected status code: %d", res.StatusCode)
}
}
func (s Scanner) Type() detector_typepb.DetectorType {
return detector_typepb.DetectorType_DatadogApikey
}
func (s Scanner) Description() string {
return "Datadog is a monitoring and security platform for cloud applications. Datadog API and Application keys can be used to access and manage data and configurations within Datadog."
}