mirror of
https://github.com/trufflesecurity/trufflehog.git
synced 2024-11-15 01:17:34 +00:00
84 lines
2.4 KiB
Go
84 lines
2.4 KiB
Go
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package thousandeyes
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import (
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"context"
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// "log"
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"regexp"
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"strings"
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"net/http"
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"github.com/trufflesecurity/trufflehog/pkg/common"
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"github.com/trufflesecurity/trufflehog/pkg/detectors"
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"github.com/trufflesecurity/trufflehog/pkg/pb/detectorspb"
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)
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type Scanner struct{}
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// Ensure the Scanner satisfies the interface at compile time
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var _ detectors.Detector = (*Scanner)(nil)
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var (
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client = common.SaneHttpClient()
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//Make sure that your group is surrounded in boundry characters such as below to reduce false positives
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keyPat = regexp.MustCompile(detectors.PrefixRegex([]string{"thousandeyes"}) + `\b([a-zA-Z0-9]{32})\b`)
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email = regexp.MustCompile(detectors.PrefixRegex([]string{"thousandeyes"}) + `\b([a-zA-Z0-9]{3,20}@[a-zA-Z0-9]{2,12}.[a-zA-Z0-9]{2,5})\b`)
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)
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// Keywords are used for efficiently pre-filtering chunks.
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// Use identifiers in the secret preferably, or the provider name.
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func (s Scanner) Keywords() []string {
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return []string{"thousandeyes"}
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}
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// FromData will find and optionally verify ThousandEyes secrets in a given set of bytes.
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func (s Scanner) FromData(ctx context.Context, verify bool, data []byte) (results []detectors.Result, err error) {
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dataStr := string(data)
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matches := keyPat.FindAllStringSubmatch(dataStr, -1)
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emailMatches := email.FindAllStringSubmatch(dataStr, -1)
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for _, match := range matches {
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if len(match) != 2 {
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continue
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}
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tokenPatMatch := strings.TrimSpace(match[1])
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for _, emailMatch := range emailMatches {
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if len(emailMatch) != 2 {
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continue
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}
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userPatMatch := strings.TrimSpace(emailMatch[1])
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s1 := detectors.Result{
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DetectorType: detectorspb.DetectorType_ThousandEyes,
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Raw: []byte(tokenPatMatch),
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}
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if verify {
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req, _ := http.NewRequest("GET", "https://api.thousandeyes.com/v6/endpoint-data/user-sessions/web.json", nil)
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req.SetBasicAuth(userPatMatch, tokenPatMatch)
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res, err := client.Do(req)
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if err == nil {
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defer res.Body.Close()
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if res.StatusCode >= 200 && res.StatusCode < 300 {
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s1.Verified = true
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} else {
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//This function will check false positives for common test words, but also it will make sure the key appears 'random' enough to be a real key
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if detectors.IsKnownFalsePositive(tokenPatMatch, detectors.DefaultFalsePositives, true) {
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continue
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}
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}
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}
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}
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results = append(results, s1)
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}
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}
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return detectors.CleanResults(results), nil
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}
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