Answer in brief
CVE-2026-59296 records a Unknown severity vulnerability in Micrometer StatsD and Logging meter registries line-protocol and log injection vulnerability. The current sources do not mark it as known exploited. The current feed maps VMware/Spring Micrometer (generic). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
A CVSS score is not reported in the current record. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps VMware/Spring Micrometer (generic). Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| VMware/Spring Micrometergeneric | 1.17.0 - 1.17.0 || 1.16.0 - 1.16.6 || 1.15.0 - 1.15.12 || 1.14.0 - 1.14.16 || 1.9.18 and earlier | Not reported |
Published upstream
Aug 21, 2026
Evidence: source:cvelist:source_dates:source-dates:recordSource modified
Aug 21, 2026
Evidence: source:cvelist:source_dates:source-dates:recordFirst seen by HOL
Aug 21, 2026
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.
Quoted source text, attributed separately from HOL analysis.