CVE-2026-8722 in Net::Async::Statsd::Client
Summary
by MITRE • 06/04/2026
Net::Async::Statsd::Client versions through 0.005 for Perl allow metric injections.
The metric names are not checked for newlines, colons or pipes. Metrics generated from untrusted sources could inject additional statsd metrics.
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Analysis
by VulDB Data Team • 06/04/2026
The vulnerability in Net::Async::Statsd::Client versions through 0.005 represents a critical input validation flaw that enables metric injection attacks within monitoring and telemetry systems. This Perl module serves as a client for the Statsd protocol, which is widely used for collecting and aggregating metrics from applications and infrastructure components. The vulnerability stems from insufficient sanitization of metric names, specifically failing to validate against special characters including newlines, colons, and pipes that are significant in the Statsd protocol. When applications use this module to process metric data from untrusted sources, attackers can craft malicious metric names that contain these delimiter characters to inject additional metric entries into the Statsd server. This represents a direct violation of input validation principles and creates opportunities for data corruption, monitoring system manipulation, and potential information disclosure.
The technical implementation of this vulnerability exploits the fundamental design of the Statsd protocol where metric names are parsed using simple string operations that do not properly sanitize input. When a metric name contains newline characters, the Statsd server interpreprets each line as a separate metric entry, effectively allowing attackers to inject multiple metrics with a single malicious input. Similarly, colons and pipes can be used to manipulate how metrics are structured and processed within the Statsd pipeline, potentially enabling attackers to create malformed metric entries that could disrupt monitoring systems or inject false data points. This vulnerability aligns with CWE-20, which describes improper input validation, and CWE-77, which covers command and query injection. The flaw exists at the protocol parsing layer where the client accepts unvalidated metric names and passes them directly to the Statsd server without proper sanitization or escaping of special characters.
The operational impact of this vulnerability extends beyond simple data corruption to potentially compromise entire monitoring infrastructures. Attackers could use metric injection to flood monitoring systems with false data, making it difficult to detect actual security incidents or performance issues. The injection could also be used to manipulate dashboards and alerting systems by creating misleading metric values or injecting additional metrics that trigger false alarms. In more sophisticated attacks, malicious actors might use this vulnerability to create metric entries that bypass normal access controls or to inject data that could be used for further exploitation within the monitoring ecosystem. The vulnerability is particularly dangerous in environments where Statsd is used for real-time monitoring and alerting, as it could enable attackers to create a false sense of security while simultaneously injecting malicious data into critical monitoring pipelines. This type of attack maps to ATT&CK technique T1567.002, which involves data manipulation through injection attacks.
Mitigation strategies for this vulnerability require immediate patching of affected versions of Net::Async::Statsd::Client to implement proper input sanitization and validation. Organizations should ensure that all metric names are validated against the Statsd protocol specification and stripped of or escaped special characters including newlines, colons, and pipes. Implementing input validation at the application level where metric data is processed is crucial, and developers should consider using dedicated sanitization libraries or implementing custom validation functions that explicitly check for and reject problematic characters. Network-level controls such as firewall rules or protocol filtering may provide additional defense-in-depth measures, though these should not be relied upon as the primary mitigation. System administrators should also implement monitoring for unusual metric patterns that could indicate injection attempts, and regular security audits should verify that all components using Statsd are properly configured to handle untrusted inputs. The vulnerability underscores the importance of validating all inputs in telemetry systems and demonstrates how seemingly minor protocol parsing issues can create significant security risks in monitoring infrastructure.