External risk intelligence

DataDog::DogStatsd for Perl Metric Injection Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.1)

CVE-2026-9270

The DataDog::DogStatsd Perl library has a vulnerability that allows for metric injections due to insufficient input sanitization. This could enable attackers to alter metric names, values, or tags, potentially leading to data corruption or misrepresentation in monitoring systems if the library processes untrusted input

3Halo Surface Signal

Binary Datadog\

0.07 and earlier

External exposure likelihood

Halo Surface Signal score for CVE-2026-9270

This is a Perl library used for instrumenting applications with metrics. While it can be used in internet-facing web applications to process user input, it is a backend development library rather than a pre-configured edge service or internet-facing gateway. Exposure depends entirely on how a developer integrates the library within their specific application code.

PCI scan relevance

PCI Relevance for CVE-2026-9270

Yes

CVE-2026-9270 — Halo PCI Relevance: Yes. Under typical PCI ASV external scan criteria, this issue may be flagged for scan prioritization.

This vulnerability in DataDog::DogStatsd allows remote attackers to inject metrics due to insufficient input sanitization. Affects versions prior to 0.08.

Scan-prioritization guidance only—not a PCI DSS certification or ASV attestation.

Horizon Alert

Summary of the vulnerability and why it matters

This vulnerability involves a Perl library used for sending metrics, where insufficient input sanitization could allow attackers to inject malicious data. The main concern is confirming relevance and exposure within your specific environment.

  • Injected data via a Perl metrics library.
  • Affects applications using specific Perl code.
  • Confirm if your systems use this library.

Attack Path

How an attacker could exploit the issue

An attacker can exploit this vulnerability by sending specially crafted data to a system that uses the DataDog::DogStatsd Perl library. Because the library does not properly sanitize input, an attacker can inject malicious metrics or alter existing ones by manipulating metric names, values, or tags. This injection can lead to data corruption or allow an attacker to introduce unintended metrics into the monitoring system.

  • Unsanitized input exposed to attackers.
  • Newlines in metric names and tags.
  • Altered metrics and potential data corruption.

Live Threat

Current exploitation, exposure, and threat context

When supported by the advisory, the DataDog::DogStatsd Perl library could allow metric injections if it processes untrusted input. This could happen if application developers do not properly sanitize metric names, values, or tags, potentially altering the reported metrics in a monitoring system.

  • Metric data could be altered.
  • Untrusted input may be injected.
  • Monitoring data could be misrepresented.

Priority actions

Operational Fix

Recommended remediation, mitigation, and detection steps

Application owners integrating DataDog::DogStatsd for Perl should lead the response effort, working with platform and security teams to identify and assess affected instances. The initial priority is to locate all deployments of the affected library, determine their exposure to untrusted input, and confirm their business criticality to prioritize remediation or implement temporary risk reduction measures.

  • Application owners should own the issue.
  • Verify all DataDog::DogStatsd instances.
  • Plan remediation based on confirmed risk.

Frequently asked questions

What is DataDog::DogStatsd for Perl?

DataDog::DogStatsd is a Perl library designed to help developers instrument their applications by sending performance metrics to a DataDog agent. It acts as a bridge, allowing software to report data points like counts, gauges, and histograms. Developers often integrate this library directly into their application code to track system performance and service health.

What is the vulnerability in CVE-2026-9270?

The vulnerability is a form of improper input validation, specifically identified as CWE-93 (Improper Neutralization of CRLF Sequences) and CWE-150 (Improper Neutralization of Escape Sequences). Because the library does not strip special characters like newlines or colons, an attacker can manipulate the structure of the data being sent. This allows them to inject unauthorized metrics or modify existing ones within your monitoring system, essentially tricking the dashboard.

How does an attacker trigger this injection?

An attacker triggers this flaw by passing crafted input—such as a malicious website form parameter—that the application subsequently processes using the library. The vulnerability requires the library to handle data from an untrusted source. It is not triggered if the data being sent to the metrics system consists strictly of hard-coded internal values or sanitized variables that have been stripped of control characters before reaching the send_stats method.

Is my application at risk according to Halo Surface Signal?

Halo Surface Signal indicates that risk is possible but highly situational. Since this is a backend development library, it is not an edge service or gateway that is inherently public. Your exposure depends entirely on your specific implementation: if your application takes direct user input and passes it through this library without prior sanitization, it creates a potential path for an attacker.

What should I do if I use this Perl library?

First, locate all internal instances where DataDog::DogStatsd is deployed within your application code. Evaluate whether any of these implementations process data originating from external or untrusted users. If such cases exist, prioritize implementing strict input validation to remove newlines, colons, and other control characters from metric names, values, and tags before they are passed to the library.

References