OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. From version 0.1.0 to before version 0.9.0, malformed MongoDB wire messages can trigger uncaught panics in the MongoDB TCP parser, allowing a remote unauthenticated attacker to crash the telemetry agent and cause a denial of service. The parser operates on raw attacker-controlled network payloads before the input is fully validated, so a single crafted message can terminate telemetry collection for the affected process or node. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. From version 0.7.0 to before version 0.9.0, OBI's log enricher mishandles writev buffers by reading only the first iovec entry but using the total iov_iter.count as the copy length. When log injection is enabled, a crafted multi-segment writev call can make OBI read and overwrite memory beyond the first segment. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, the Java TLS ioctl probe reads user-controlled ioctl pointers with bpf_probe_read instead of bpf_probe_read_user. An instrumented local process can therefore point OBI at kernel memory and cause that memory to be copied into telemetry. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, the per-CPU message-buffer fallback path uses a 256-byte backup buffer but preserves the original payload size, which can be up to 8KB. If a CPU mismatch occurs, OBI can read beyond the fallback buffer and leak adjacent memory into telemetry. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, OBI replays BPF probe hits into histogram observations by looping once per recorded run count. On busy systems, the run-count delta can become very large, causing the metrics exporter to spend excessive CPU time in a tight loop every collection interval. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, OBI exports raw Redis error text as the span status message. Because Redis error replies can contain attacker-controlled or sensitive values, this behavior can exfiltrate tokens, PII, or other confidential input into telemetry backends and inject untrusted text into downstream analysis systems. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, the Postgres protocol parser assumes BIND message payloads contain a valid NUL-terminated portal name. A crafted empty or unterminated payload can make OBI slice beyond the end of the captured buffer and panic. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, OBI's replacement ELF parser trusts section offsets, counts, and string offsets from the executable file. A crafted local ELF can make OBI dereference invalid section pointers or slice past string tables, causing the agent to panic while determining the process language. This issue has been patched in version 0.9.0.
OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. Prior to version 0.9.0, the custom CappedConcurrentHashMap introduced for Java TLS state tracking never removes keys from its insertion-order queue when entries are deleted. In long-running instrumented JVMs, repeated connection churn can therefore grow the queue without bound and exhaust heap memory. This issue has been patched in version 0.9.0.
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.
CVE-2026-44902 is a high-severity vulnerability in the OpenTelemetry JavaScript client (opentelemetry-js) versions prior to 0.217.0. The issue arises because the Prometheus metrics endpoint lacks proper error handling for malformed HTTP requests, specifically invalid URIs. This causes an uncaught TypeError that crashes the Node.js process running the exporter. The vulnerability has been fixed in version 0.217.0.
The OpenTelemetry.Exporter.Instana exports telemetry to Instana backend. Prior to 1.1.0, the OpenTelemetry.Exporter.Instana NuGet package does not validate HTTPS/TLS certificates are valid when sending telemetry to a configured Instana back-end when a proxy is configured using the INSTANA_ENDPOINT_PROXY environment variable. If a network attacker can Man-in-the-Middle (MitM) the proxy connection, all OpenTelemetry telemetry data and the Instana API key are exposed to the attacker. This vulnerability is fixed in 1.1.0.
A vulnerability in the azureauthextension component of opentelemetry-collector-contrib versions 0.124.0 through 0.150.0 allows server-side authentication bypass. The extension improperly validates Azure access tokens by comparing them as strings without proper JWT validation and uses the client-supplied Host header to determine token scope. This flaw enables an attacker holding any valid Azure token for any scope the collector's identity can mint to authenticate to any OpenTelemetry receiver using azure_auth. Tokens remain valid for their full lifetime, typically several hours. The vulnerability has a high severity with a CVSS score of 8.1.
OpenTelemetry.Exporter.OpenTelemetryProtocol is the OTLP (OpenTelemetry Protocol) exporter implementation. From 1.8.0 to 1.15.2, the OTLP disk retry feature in OpenTelemetry.Exporter.OpenTelemetryProtocol silently fell back to Path.GetTempPath() when OTEL_DOTNET_EXPERIMENTAL_OTLP_RETRY=disk was set but OTEL_DOTNET_EXPERIMENTAL_OTLP_DISK_RETRY_DIRECTORY_PATH was not configured. The exporter stored and loaded *.blob files under fixed, signal-named subdirectories (traces, metrics, logs) beneath that shared temporary root path. On multi-user systems where the temporary directory is accessible to other local accounts, this allows an attacker to write crafted *.blob files, read *.blob files written by the application between export failures, or deposit numerous or oversized blob files, degrading retry-loop performance or consuming disk space. This vulnerability is fixed in 1.15.3.
CVE-2026-42348 is a medium severity vulnerability in the OpenTelemetry. OpAmp. Client component of opentelemetry-dotnet-contrib versions prior to 0.2.0-alpha.1. The issue involves the client allocating an unbounded buffer to read HTTP responses from the OpAMP server without an upper size limit. This can lead to memory exhaustion if the server is attacker-controlled or if a network attacker can intercept and send a very large response body. The vulnerability is fixed starting from version 0.2.
OpenTelemetry.Exporter.OneCollector is a .NET exporter that sends telemetry to a OneCollector back-end over HTTP. In versions 1.15.0 and earlier, when a request to the configured back-end or collector results in an unsuccessful HTTP 4xx or 5xx response, the HttpJsonPostTransport class reads the entire response body into memory with no upper bound on the number of bytes consumed in order to include the error response in operator logs.
An attacker who controls the configured endpoint, or who can intercept traffic to it via a man-in-the-middle attack, can return an arbitrarily large response body. This causes unbounded heap allocation in the consuming process, leading to high transient memory pressure, garbage-collection stalls, or an OutOfMemoryException that terminates the process. As a workaround, use network-level controls such as firewall rules, mTLS, or a service mesh to prevent man-in-the-middle attacks on the configured back-end or collector endpoint. This issue is fixed in version 1.15.1, which limits the number of bytes read from the response body in an error condition to 4 MiB.
OpenTelemetry.Resources.Azure is the .NET resource detector for Azure environments. In versions 1.15.0-beta.1 and earlier, the AzureVmMetaDataRequestor class makes HTTP requests to the Azure VM instance metadata service and reads the response body into memory without any size limit. An attacker who controls the configured endpoint, or who can intercept traffic to it via a man-in-the-middle attack, can return an arbitrarily large response body. This causes unbounded heap allocation in the consuming process, leading to high transient memory pressure, garbage-collection stalls, or an OutOfMemoryException that terminates the process. As a workaround, disable the Azure VM resource detector or use network-level controls such as firewall rules, mTLS, or a service mesh to prevent man-in-the-middle attacks on the Azure VM instance metadata endpoint. This issue is fixed in version 1.15.1-beta.1, which streams responses rather than buffering them entirely in memory and ignores responses larger than 4 MiB.
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.
CVE-2026-41433 is a path traversal vulnerability in open-telemetry's opentelemetry-ebpf-instrumentation versions 0.4.0 up to but not including 0.8.0. It allows a local attacker controlling a Java workload to overwrite arbitrary host files when Java injection is enabled and the instrumentation runs with elevated privileges. The flaw arises because the injector trusts the TMPDIR environment variable from the target process and uses unsafe file creation methods, enabling filesystem boundary escape and symlink-based file overwriting. This vulnerability is fixed in version 0.8.0.
The AWS X-Ray Remote Sampler package provides a sampler which can get sampling configurations from AWS X-Ray. Prior to 0.1.0-alpha.8, OpenTelemetry.Sampler.AWS reads unbounded HTTP response bodies from a configured AWS X-Ray remote sampling endpoint into memory. AWSXRaySamplerClient.DoRequestAsync called HttpClient.SendAsync followed by ReadAsStringAsync(), which materializes the entire HTTP response body into a single in-memory string with no size limit. The sampling endpoint is configurable via AWSXRayRemoteSamplerBuilder.SetEndpoint (default: http://localhost:2000). An attacker who controls the configured endpoint, or who can intercept traffic to it (MitM), can return an arbitrarily large response body. This causes unbounded heap allocation in the consuming process, leading to high transient memory pressure, garbage-collection stalls, or an OutOfMemoryException that terminates the process. This vulnerability is fixed in 0.1.0-alpha.8.