CVE-2026-59296
mediumCVSS v3 Base Score
5.9
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
EPSS Score
0.2%
Exploitation probability in 30 days
Top 91% most likely to be exploited
Attack Characteristics
Attack Vector
Network
Attack Complexity
High
Privileges Required
None
User Interaction
None
Confidentiality
None
Integrity
High
Availability
None
Published: August 21, 2026 (16 days ago)
Last Modified: August 21, 2026
Vendor: Red Hat
Source: REDHAT
Vulnerability Report
Generated by CyberWatcher
Description
Using untrusted, non-normalized input as-is for metrics data (such as metric names, tag keys, or tag values) is a dangerous antipattern that general-purpose instrumentation should never perform. When such unsafe instrumentation is used, the application becomes vulnerable to injection and spoofing attacks because micrometer-registry-statsd and micrometer-core do not sanitize newline characters (\n, \r) by default prior to this fix.
* For the StatsD registry in micrometer-registry-statsd (when using the Datadog or Etsy flavor), because the StatsD protocol is newline-delimited, this allows for line-protocol injection (cross-metric spoofing).
* For LoggingMeterRegistry in micrometer-core, because metric output is printed line-by-line to log files, this allows for both metric spoofing (if downstream log-metrics scrapers or parsers ingest the log lines as separate metrics) and general log spoofing.
Specifically, an application is vulnerable when all the following are true:
* The application uses a vulnerable version of io.micrometer:micrometer-registry-statsd or io.micrometer:micrometer-core.
* The application uses the Datadog or Etsy flavor of the StatsD registry, or uses LoggingMeterRegistry.
* The application instruments meters using user-controlled, unvalidated input for metric names, tag keys, or tag values.
When vulnerable, an attacker can break out of the current metric or log line by injecting line terminators. This allows them to spoof arbitrary metrics (e.g., system load, standard JVM metrics, or other business metrics) across the metrics registry namespace (either directly via StatsD protocol or via downstream log-metric scrapers/parsers), as well as inject arbitrary log entries to spoof general log records.
CWE
CWE-93Affected Products
Exploit IntelligenceRed Hat AMQ Broker 7Red Hat build of Apache Camel 4 for Quarkus 3Red Hat build of Apache Camel for Spring Boot 4Red Hat build of Apicurio Registry 3Red Hat build of Debezium 3Red Hat Build of KeycloakRed Hat build of QuarkusRed Hat Data Grid 8Red Hat Fuse 7