OpenTelemetry dotnet is a dotnet telemetry framework. In OpenTelemetry.Api 0.5.0-beta.2 to 1.15.2 and OpenTelemetry.Extensions.Propagators 1.3.1 to 1.15.2, The implementation details of the baggage, B3 and Jaeger processing code in the OpenTelemetry.Api and OpenTelemetry.Extensions.Propagators NuGet packages can allocate excessive memory when parsing which could create a potential denial of service (DoS) in the consuming application. This vulnerability is fixed in 1.15.3.

opentelemetry-java is the Java implementation of the OpenTelemetry API for recording telemetry, and SDK for managing telemetry recorded by the API. Prior to 1.62.0, a vulnerability affects the baggage propagation implementation in opentelemetry-api and opentelemetry-extension-trace-propagators. Parsing oversized baggage causes unbounded memory allocation and CPU consumption. Because baggage is automatically re-injected into every outgoing request, the effect can fan out to downstream services that never received the original malicious request. This vulnerability is fixed in 1.62.0.

OpenTelemetry.Exporter.Zipkin is the .NET Zipkin exporter for OpenTelemetry. In versions 1.15.2 and earlier, the Zipkin exporter remote endpoint cache accepts unbounded key growth derived from span attributes. In high-cardinality scenarios, a process using Zipkin export for client or producer spans could experience avoidable memory growth under sustained unique remote endpoint values, increasing process memory usage over time and degrading availability. This issue is fixed in version 1.15.3, which introduces a bounded, thread-safe LRU cache for remote endpoints with a fixed maximum size.

OpenTelemetry dotnet is a dotnet telemetry framework. From 1.13.1 to before 1.15.2, When exporting telemetry over gRPC using the OpenTelemetry Protocol (OTLP), the exporter may parse a server-provided grpc-status-details-bin trailer during retry handling. Prior to the fix, a malformed trailer could encode an extremely large length-delimited protobuf field which was used directly for allocation, allowing excessive memory allocation and potential denial of service (DoS). This vulnerability is fixed in 1.15.2.

OpenTelemetry.OpAmp.Client is the OpAMP client for OpenTelemetry .NET. Prior to 0.2.0-alpha.1, when receiving responses from the OpAMP server over HTTP, the OpAMP client allocates an unbounded buffer to read all bytes from the server, with no upper-bound on the number of bytes consumed. This could cause memory exhaustion in the consuming application if the configured OpAMP server is attacker-controlled (or a network attacker can MitM the connection) and an extremely large body is returned in the response. This vulnerability is fixed in 0.2.0-alpha.1.

OpenTelemetry dotnet is a dotnet telemetry framework. From 1.13.1 to before 1.15.2, When exporting telemetry to a back-end/collector over gRPC or HTTP using OpenTelemetry Protocol format (OTLP), if the request results in a unsuccessful request (i.e. HTTP 4xx or 5xx), the response is read into memory with no upper-bound on the number of bytes consumed. This could cause memory exhaustion in the consuming application if the configured back-end/collector endpoint is attacker-controlled (or a network attacker can MitM the connection) and an extremely large body is returned by the response. This vulnerability is fixed in 1.15.2.

OpenTelemetry-Go is the Go implementation of OpenTelemetry. Prior to 1.43.0, the otlp HTTP exporters (traces/metrics/logs) read the full HTTP response body into an in-memory bytes.Buffer without a size cap. This is exploitable for memory exhaustion when the configured collector endpoint is attacker-controlled (or a network attacker can mitm the exporter connection). This vulnerability is fixed in 1.43.0.

github.com/nwaples/rardecode versions <=2.1.1 fail to restrict the dictionary size when reading large RAR dictionary sizes, which allows an attacker to provide a specially crafted RAR file and cause Denial of Service via an Out Of Memory Crash.

In Mosquitto before 2.0.16, excessive memory is allocated based on malicious initial packets that are not CONNECT packets.

Matrix Media Repo (MMR) is a highly configurable multi-homeserver media repository for Matrix. MMR makes requests to other servers as part of normal operation, and these resource owners can return large amounts of JSON back to MMR for parsing. In parsing, MMR can consume large amounts of memory and exhaust available memory. This is fixed in MMR v1.3.8. Users are advised to upgrade. For users unable to upgrade; forward proxies can be configured to block requests to unsafe hosts. Alternatively, MMR processes can be configured with memory limits and auto-restart. Running multiple MMR processes concurrently can help ensure a restart does not overly impact users.

An attacker might be able to trick DNSdist into allocating too much memory while processing DNS over QUIC or DNS over HTTP/3 payloads, resulting in a denial of service. In setups with a large quantity of memory available this usually results in an exception and the QUIC connection is properly closed, but in some cases the system might enter an out-of-memory state instead and terminate the process.

Memory Allocation with Excessive Size Value vulnerability in Apache Thrift. This issue affects Apache Thrift: before 0.23.0. Users are recommended to upgrade to version 0.23.0, which fixes the issue.

ParquetSharp is a .NET library for reading and writing Apache Parquet files. From version 18.1.0 to before version 23.0.0.1, DecimalConverter.ReadDecimal makes a stackalloc using what might be an attacker-supplied value. If an attacker declares a decimal column with some unreasonable width, this could lead to a stack overflow. In a service environment, this would potentially take down a service. This affects applications using ParquetSharp to read untrusted Parquet files in a network service. This issue has been patched in version 23.0.0.1.

@grpc/grps-js implements the core functionality of gRPC purely in JavaScript, without a C++ addon. Prior to versions 1.10.9, 1.9.15, and 1.8.22, there are two separate code paths in which memory can be allocated per message in excess of the `grpc.max_receive_message_length` channel option: If an incoming message has a size on the wire greater than the configured limit, the entire message is buffered before it is discarded; and/or if an incoming message has a size within the limit on the wire but decompresses to a size greater than the limit, the entire message is decompressed into memory, and on the server is not discarded. This has been patched in versions 1.10.9, 1.9.15, and 1.8.22.

OpenClaw before 2026.3.22 contains an unbounded memory allocation vulnerability in remote media HTTP error handling that allows attackers to trigger excessive memory consumption. Attackers can send crafted HTTP error responses with large bodies to remote media endpoints, causing the application to allocate unbounded memory before failure handling occurs.

ImageSharp is a 2D graphics API. A vulnerability discovered in the ImageSharp library, where the processing of specially crafted files can lead to excessive memory usage in image decoders. The vulnerability is triggered when ImageSharp attempts to process image files that are designed to exploit this flaw. This flaw can be exploited to cause a denial of service (DoS) by depleting process memory, thereby affecting applications and services that rely on ImageSharp for image processing tasks. Users and administrators are advised to update to the latest version of ImageSharp that addresses this vulnerability to mitigate the risk of exploitation. The problem has been patched in v3.1.4 and v2.1.8.

The Kubernetes API server component in versions prior to 1.15.9, 1.16.0-1.16.6, and 1.17.0-1.17.2 has been found to be vulnerable to a denial of service attack via successful API requests.

ImageSharp is a 2D graphics API. A vulnerability discovered in the ImageSharp library, where the processing of specially crafted files can lead to excessive memory usage in the Gif decoder. The vulnerability is triggered when ImageSharp attempts to process image files that are designed to exploit this flaw. All users are advised to upgrade to v3.1.5 or v2.1.9.