| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| In Spring AI's tool calling support, the per-request tool list is advertised to the model as a boundary but is not fully enforced when a tool call is dispatched. Under certain conditions, a tool that was not made available to the current request could be invoked, potentially leading to privilege escalation.
Affected versions:
Spring AI: 2.0.0
Spring AI: 1.1.0 through 1.1.8
Spring AI: 1.0.0 through 1.0.9 |
| In Spring AI's Semantic Cache support, the context hash used to isolate cached responses between different system prompts could allow cached responses to be shared across unrelated contexts.
Affected versions:
Spring AI: 2.0.0 |
| The MCP Streamable HTTP server transport (WebFlux and WebMvc variants) does not place any limit on the number of sessions it retains, and by default does not require clients to be authenticated. As a result, a remote attacker can cause the server to accumulate an unbounded number of sessions over time, gradually exhausting available memory and ultimately causing a Denial of Service that affects all legitimate clients.
Affected versions:
Spring AI: 2.0.0 |
| Values produced by ${random.value} are not suitable for use as secrets. ${random.uuid} is not affected. ${random.int} and ${random.long} should never be used for secrets as they are numeric values with a predictable range.
Affected: Spring Boot 4.0.0–4.0.5 (fix 4.0.6), 3.5.0–3.5.13 (fix 3.5.14), 3.4.0–3.4.15 (fix 3.4.16), 3.3.0–3.3.18 (fix 3.3.19), 2.7.0–2.7.32 (fix 2.7.33); random value property source / weak PRNG for secrets. Versions that are no longer supported are also affected per vendor advisory. |
| When using Google Secrets Manager as a backend for the Spring Cloud Config server a client can craft a request to the config server potentially exposing secrets from unintended GCP projects.
Spring Cloud Config 3.1.x: affected from 3.1.0 through 3.1.13 (inclusive); upgrade to 3.1.14 or greater (Enterprise Support Only). Spring Cloud Config 4.1.x: affected from 4.1.0 through 4.1.9 (inclusive); upgrade to 4.1.10 or greater (Enterprise Support Only). Spring Cloud Config 4.2.x: affected from 4.2.0 through 4.2.6 (inclusive); upgrade to 4.2.7 or greater (Enterprise Support Only). Spring Cloud Config 4.3.x: affected from 4.3.0 through 4.3.2 (inclusive); upgrade to 4.3.3 or greater. Spring Cloud Config 5.0.x: affected from 5.0.0 through 5.0.2 (inclusive); upgrade to 5.0.3 or greater. |
| In Micrometer, it is possible for a user to provide specially crafted HTTP requests that may cause a denial-of-service (DoS) condition.
Affected versions:
micrometer-core 1.16.0 through 1.16.5; 1.15.0 through 1.15.11; 1.14.0 through 1.14.15; 1.13.0 through 1.13.18; 1.9.0 through 1.9.17.
micrometer-jetty11 1.16.0 through 1.16.5; 1.15.0 through 1.15.11; 1.14.0 through 1.14.15; 1.13.0 through 1.13.18.
micrometer-jetty12 1.16.0 through 1.16.5; 1.15.0 through 1.15.11; 1.14.0 through 1.14.15; 1.13.0 through 1.13.18. |
| In Micrometer, it is possible for a user to provide specially crafted gRPC requests that may cause a denial-of-service (DoS) condition.
Affected versions:
Micrometer 1.16.0 through 1.16.5; 1.15.0 through 1.15.11. |
| Spring WebFlux applications are vulnerable to Denial of Service (DoS) attacks when processing multipart requests.
Affected versions: Spring Framework 7.0.0 through 7.0.7, 6.2.0 through 6.2.18, 6.1.0 through 6.1.27, 5.3.0 through 5.3.48. |
| Starting Spring Boot applications in the Spring Tools with the live information mode enabled makes the running application vulnerable against JMX-based remote code execution.
Affected Spring Products and Versions:
Spring Tools for Eclipse: 5.2.0 and earlier
Spring Tools for VSCode / Cursor / Theia: 2.2.0 and earlier |
| The Boot Dashboard Docker integration in Spring Tools publishes container control ports on all of the host's network interfaces (0.0.0.0) rather than restricting them to loopback.
Affected Spring Products and Versions:
Spring Tools for Eclipse: 5.2.0 and earlier |
| When enabling Spring Boot DevTools support for a remote application target (for example a Docker container or Cloud Foundry app) from the Spring Tools Boot Dashboard, Spring Tools generates a shared secret that authenticates DevTools remote-restart uploads to the deployed application. This secret was generated using a non-cryptographic pseudo-random number generator rather than a cryptographically secure source of randomness.
Affected Spring Products and Versions:
Spring Tools for Eclipse: 5.2.0 and earlier |
| Spring Tools for Eclipse stores the Spring Boot DevTools remote secret (spring.devtools.remote.secret) as a plain string attribute on the "Spring Boot DevTools Client" launch configuration. Eclipse persists launch configuration attributes as cleartext XML, either to workspace metadata or, if the user marks the configuration as a shared file, directly into the project tree where it can be committed to version control. This secret is the sole credential protecting the DevTools remote restart/reload endpoint, which accepts and executes arbitrary class bytes on the target application. Anyone able to read the .launch file (via filesystem access, a workspace backup, or a shared VCS repository) can extract the secret and use it to achieve remote code execution against the associated Spring Boot application.
Affected Spring Products and Versions:
Spring Tools for Eclipse: 5.2.0 and earlier |
| Spring Tools for Eclipse renders Spring Boot starter wizard dependency tooltips in a native embedded browser (SWT Browser) with JavaScript enabled. Using untrusted and compromised Initializr endpoints for the Spring Boot starter wizard can result in arbitrary script execution inside the embedded browser when a developer hovers a dependency checkbox in the New Spring Starter Project wizard. Impact is limited to in-IDE UI spoofing and outbound network beaconing rather than full code execution.
Affected Spring Products and Versions:
Spring Tools for Eclipse: 5.2.0 and earlier |
| The Spring Boot language server logs the raw value of the https_proxy/HTTPS_PROXY/http_proxy/HTTP_PROXY environment variable at INFO level whenever it creates an outbound HTTP client and no explicit http.proxy workspace setting is configured. Corporate proxy URLs frequently embed Basic-auth credentials in the form http://user:pass@proxy:8080, and the language server writes this value to its log file without any redaction. Since language server log files are often attached to bug reports or are readable by other local users/processes, this can result in disclosure of proxy credentials.
Affected Spring Products and Versions:
Spring Tools for Eclipse: 5.2.0 and earlier
Spring Tools for VSCode / Cursor / Theia: 2.2.0 and earlier |
| Authentication bypass by primary weakness vulnerability in Spring Security Spring Authorization Server.
This issue affects Spring Authorization Server: from 7.0.0 through 7.0.4, from 1.5.0 through 1.5.6, from 1.4.0 through 1.4.9, from 1.3.0 through 1.3.10. |
| A vulnerability in Spring Expression Language (SpEL) evaluation logic allows for arbitrary zero-argument method invocation, even within restricted or read-only contexts, which may allow an attacker to invoke unintended application logic.
Affected versions:
Spring Framework 7.0.0 through 7.0.7; 6.2.0 through 6.2.18; 6.1.0 through 6.1.27; 5.3.0 through 5.3.48. |
| Spring Statemachine's Kryo-based persistence backends (JPA, MongoDB, Redis and ZooKeeper) deserialise persisted state-machine contexts without enforcing a class allowlist (CWE-502, deserialisation of untrusted data), which can lead to remote code execution inside the application JVM.
Affected versions:
Spring Statemachine 4.0.0 through 4.0.1
Spring Statemachine 3.2.0 through 3.2.4 |
| In specific scenarios involving HTTP redirects from a secure to an insecure endpoint, the Reactor Netty HTTP client may leak credentials. In order for this to happen, the HTTP client must have been explicitly configured to follow redirects.
Affected versions:
Reactor Netty 1.0.0 through 1.0.51; 1.1.0 through 1.1.35; 1.2.0 through 1.2.17; 1.3.0 through 1.3.5. |
| Spring Boot's ArtemisEmbeddedConfigurationFactory uses a fixed, static path for the embedded Artemis message broker's data directory when no explicit path is configured. A local attacker on the same host can pre-create this predictable directory or place a symlink before the application starts.
Affected versions:
Spring Boot 4.0.0 through 4.0.6; 3.5.0 through 3.5.14; 3.4.0 through 3.4.16; 3.3.0 through 3.3.19; 2.7.0 through 2.7.33. |
