Insufficient parameter verification leads to the occurrence of format errors in files, which will trigger an unhandled "std::invalid_argument" exception, ultimately causing the program to terminate.

An attacker can control a server-side HTTP request by supplying a crafted URL, causing the server to initiate requests to arbitrary destinations. This behavior may be exploited to probe internal network services, access otherwise unreachable endpoints (e.g., cloud metadata services), or bypass network access controls, potentially leading to sensitive information disclosure and further compromise of the internal environment.

IBM Total Storage Service Console (TSSC) / TS4500 IMC 9.2, 9.3, 9.4, 9.5, 9.6 TSSC/IMC could allow an unauthenticated user to execute arbitrary commands with normal user privileges on the system due to improper validation of user supplied input.

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

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

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

An application using Micrometer Tracing with W3C baggage propagation in the Brave bridge is vulnerable to denial of service (DoS) due to unbounded object allocation when extracting incoming baggage headers. Specifically, an application is vulnerable when all the following are true: * The application uses a vulnerable version of io.micrometer:micrometer-tracing-bridge-brave. * W3C propagation is active (either configured manually or active by default, such as in Spring Boot 3.x+). * Baggage propagation is enabled (which is the default in Spring Boot 3.x+) and a baggage manager (such as BraveBaggageManager) is configured to handle baggage fields. * The application processes requests or messages from untrusted sources with baggage headers which it normally should not, see:  https://www.w3.org/TR/trace-context/#security-considerations . * Network components including the (HTTP) server that receives the request do not limit the header size or the limit is high enou

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

VMware vCenter contains a directory traversal vulnerability in the Syslog server. A malicious actor with network access to vCenter may exploit this issue to execute arbitrary code.

VMware vCenter contains an authentication bypass vulnerability in the VMware Directory Service. A malicious actor with network access to vCenter may exploit this issue to bypass authentication and gain unauthorized access to the system.

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

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

Micrometer-instrumented Apache HttpAsyncClient (4.x or 5.x) usage via MicrometerHttpClientInterceptor can leak memory unboundedly when asynchronous requests fail before receiving a response (e.g. connection resets or timeouts). Tracking state for these requests remains in memory indefinitely, and sustained failures lead to heap exhaustion and OutOfMemoryError crashes.

Calling the ungetwc function on a FILE stream with wide characters encoded in a character set that has overlaps between its single byte and multi-byte character encodings, in the GNU C Library version 2.43 or earlier, may result in an attempt to read bytes before an allocated buffer, potentially resulting in unintentional disclosure of neighboring data in the heap, or a program crash. A bug in the wide character pushback implementation (_IO_wdefault_pbackfail in libio/wgenops.c) causes ungetwc() to operate on the regular character buffer (fp->_IO_read_ptr) instead of the actual wide-stream read pointer (fp->_wide_data->_IO_read_ptr). The program crash may happen in cases where fp->_IO_read_ptr is not initialized and hence points to NULL. The buffer under-read requires a special situation where the input character encoding is such that there are overlaps between single byte representations and multibyte representations in that encoding, resulting in spurious matches. The spurious match

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

IBM Verify Identity Access Container 11.0 through 11.0.2 and IBM Security Verify Access Container 10.0 through 10.0.9.1 and IBM Verify Identity Access 11.0 through 11.0.2 and IBM Security Verify Access 10.0 through 10.0.9.1 uses weaker than expected cryptographic algorithms that could allow an attacker to decrypt highly sensitive information.

A user authenticating to Kubernetes clusters via the Pinniped Supervisor could potentially gain elevated permissions in the clusters, only if all the following conditions were true: the Pinniped Supervisor server is running with an ActiveDirectoryIdentityProvider resource configured; the ActiveDirectoryIdentityProvider.spec.groupSearch.attributes.groupName is empty; the attacker gains the ability to edit some part of the distinguished name (DN) of group entries in the Active Directory (AD) server's database for groups to which they belong; the configured group search parameters cause the edited group to be included in the group search results for the user; and the attacker knows the password for an AD user who belongs to the edited AD group. Affected versions: Pinniped (go.pinniped.dev) v0.11.0 through v0.46.0 inclusive; fixed in v0.47.0.

AFFiNE's histories GraphQL field fails to validate Doc.Read permission before exposing document edit history, allowing authenticated workspace members to retrieve restricted content timelines. Attackers can supply arbitrary document GUIDs to access full edit histories including user names, emails, and timestamps of private pages they lack access to.

OpenClaw before 2026.5.28 contains a credential exposure vulnerability where workspace dotenv files can override provider credentials. Attackers with lower-trust access to configured input paths can expose sensitive data and credentials that should remain within trusted boundaries.

OpenWrt luci-app-samba4 read ACL grants file.exec permission on /usr/sbin/smbd, allowing authenticated delegated users to execute the Samba daemon with caller-controlled command-line arguments. Attackers can pass arbitrary Samba global options such as message command to a root smbd process, triggering command execution when SMB protocol messages are processed.