OpenTelemetry-cpp is the C++ implementation of OpenTelemetry. Prior to release 1.27.0, the OTLP HTTP exporters (traces/metrics/logs) read the full HTTP response into an in-memory vector of bytes 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 opentelemetry-cpp release 1.27.0.
OpenTelemetry-Go is the Go implementation of OpenTelemetry. Prior to version 0.0.17, `go.opentelemetry.io/otel/schema/v1.0` and `go.opentelemetry.io/otel/schema/v1.1` leaks one file descriptor on each successful `ParseFile` call. `ParseFile` opens the schema file and passes it to `Parse` without closing it; repeated parsing in a long-running process can exhaust the process file descriptor limit and cause denial of service. Exploitation depends on a consuming application exposing repeated schema parsing to an attacker-controlled path. Version 0.0.17 contains a patch for the issue.
OpenTelemetry-Go is the Go implementation of OpenTelemetry. Versions 1.41.0 and 1.43.0 removed raw-length rejection and it causes `Parse` to process arbitrarily large/invalid baggage headers and log errors, enabling DoS via oversized inputs. Versions 1.42.0 and 1.44.0 fix the issue.
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, 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 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 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, 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, 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, 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.