GHSA-x9rg-6x4w-mpcx · Severity: critical — DataDog::DogStatsd versions through 0.07 for Perl allow metric injections. DataDog::DogStatsd...
DataDog::DogStatsd versions through 0.07 for Perl allow metric injections. DataDog::DogStatsd does not properly sanitise input, allowing metric injections of data from untrusted sources. The send_stats method does not remove newlines from metric names ($stat variable), allowing attackers to change the metric name prefix. The send_stats method does not validate the content of the value ($delta variable), allowing attackers to inject metrics, especially from methods that do not restrict the data type for the value, such as set, gauge, count and histogram. The send_stats method does not validate the content of the tags, which may contain newlines, pipes and colons that allow metric injections. Note that the SYNOPSIS shows an example of passing a website form "loginName" parameter as a tag, which is unsafe.
Conclusion & alert: CVE-2026-9270 is rated Low Risk (39.1/100): CVSS Critical severity, with low exploitation likelihood (EPSS 0.03%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-06 | — | 0.03% | — |
Full EPSS history (1 record total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 9.1 | 3.1 | CRITICAL |
|
3.9 | 5.2 | 134c704f-9b21-4f2e-91b3-4a467353bcc0 |
GHSA-x9rg-6x4w-mpcx · Severity: critical — DataDog::DogStatsd versions through 0.07 for Perl allow metric injections. DataDog::DogStatsd...
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||