CVE-2026-59296
Last modified
CVE-2026-59296 is a medium-severity vulnerability rated 5.9/10 on the CVSS scale. 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.
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.
Metrics
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
Weakness Enumeration
Affected Software
Source: CNA advisory (CVE.org). NVD analysis pending.
| Vendor | Product | Versions |
|---|---|---|
| VMware | Spring Micrometer | 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 |
References
Timeline
- Published
- Last Modified
- Status
- Received
Frequently Asked Questions
What is CVE-2026-59296?
How severe is CVE-2026-59296?
How do I fix CVE-2026-59296?
How Strix Helps
- How Strix found a critical auth bypass in etcdStrix autonomously discovered a critical authentication bypass in etcd, later designated CVE-2026-33413.
- Autonomous PentestingAI agents that find and validate exploitable vulnerabilities like this one across your applications.
- PR ReviewsPentest every pull request so vulnerable code is caught before it ships to production.
- AI Penetration TestingHow AI-driven penetration testing continuously covers your attack surface.
Related CVEs from 2026
- CVE-2026-59261OpenClaw before 2026.5.28 contains a credential exposure vul…6.5
- CVE-2026-59262AFFiNE's histories GraphQL field fails to validate Doc.Read …7.1
- CVE-2026-59269A user authenticating to Kubernetes clusters via the Pinnipe…3.8
- CVE-2026-59279The MCP Streamable HTTP server transport (WebFlux and WebMvc…7.5
- CVE-2026-5928Calling the ungetwc function on a FILE stream with wide char…7.5
- CVE-2026-59295Micrometer-instrumented Apache HttpAsyncClient (4.x or 5.x) …5.9
- CVE-2026-59308In Spring AI's Semantic Cache support, the context hash used…4.2
- CVE-2026-59309VMware vCenter contains an authentication bypass vulnerabili…9.8
- CVE-2026-59310VMware vCenter contains a directory traversal vulnerability …9.8
- CVE-2026-59318In Spring AI's tool calling support, the per-request tool li…6.5
- CVE-2026-59323An application using Micrometer Tracing with W3C baggage pro…5.3
- CVE-2026-59326The Spring Boot language server logs the raw value of the ht…3.3
Are you affected by CVE-2026-59296?
Run a free Strix scan to check your systems for this vulnerability.
Scan your code nowSource: NVD / NIST
