CVE-2026-45685: OpenTelemetry eBPF Instrumentation MongoDB Parser DoS (v0.1.0–0.8.x)

Technical summary

The vulnerability stems from insufficient input validation in the MongoDB TCP parser component of OpenTelemetry eBPF Instrumentation. The parser processes raw network payloads before complete validation occurs, creating a window where malformed wire messages can trigger panic conditions in the Go or Rust runtime. Affected versions (0.1.0–0.8.x) do not gracefully handle malformed frames; instead, they allow uncaught panics to propagate, crashing the instrumentation agent. The issue is rooted in CWE-20 (Improper Input Validation), CWE-248 (Uncaught Exception), and CWE-704 (Incorrect Type Conversion or Cast), indicating both validation gaps and error-handling deficiencies. Version 0.9.0 introduces proper frame validation and panic recovery to prevent this condition.

Business impact

Telemetry collection is critical for observability, security monitoring, and compliance in containerized and cloud-native environments. A crash in the eBPF instrumentation agent means loss of real-time visibility into application performance, distributed traces, and potential security events. If the agent runs at the node level, a single crafted message can blind monitoring across multiple containers or services on that node. Organizations relying on this telemetry for incident detection, SLA compliance, or forensic analysis face degraded security posture and operational blind spots. Recovery requires manual agent restart, adding operational toil.

Affected systems

OpenTelemetry eBPF Instrumentation versions 0.1.0 through 0.8.x are affected. Any deployment running these versions and exposing the MongoDB wire protocol listener to network traffic—whether in Kubernetes, Docker, VMs, or bare metal—is vulnerable. The risk is highest in multi-tenant or untrusted network environments where an attacker can reach the instrumentation port. Verify your installed version against the vendor advisory and upgrade to 0.9.0 or later.

Exploitability

Exploitability is high. The attack requires only network connectivity to the telemetry agent's listening port; no authentication, user interaction, or special privileges are needed. The CVSS 3.1 score of 7.5 (High) reflects the unauthenticated, low-complexity, network-adjacent attack surface (AV:N/AC:L/PR:N/UI:N). An attacker can craft a malformed MongoDB message in seconds and cause immediate denial of service. The barrier to entry is low, making this suitable for automated scanning and exploitation. However, the attack does not result in data theft or code execution—only availability loss.

Remediation

Upgrade OpenTelemetry eBPF Instrumentation to version 0.9.0 or later. Verify the upgrade against the vendor advisory to confirm the patch includes panic recovery and input validation fixes. If immediate patching is not feasible, restrict network access to the telemetry agent's listening port via firewall rules or network policies, limiting ingress to trusted internal networks only. Monitor agent uptime and crash logs for signs of exploitation attempts. Restart crashed agents automatically using orchestration tools (Kubernetes DaemonSet restart policy, systemd restarts, etc.) as a temporary mitigation until patching is complete.

Patch guidance

Download and deploy OpenTelemetry eBPF Instrumentation version 0.9.0 from the official repository. Coordinate the rollout with your deployment pipeline to minimize telemetry gaps. In Kubernetes environments, update the DaemonSet image and roll out the new version; restart pods or nodes as your policy dictates. In non-containerized deployments, stop the instrumentation service, replace the binary, and restart. Verify post-patch functionality by confirming that the agent logs no startup errors and that telemetry data flows normally. Test with synthetic MongoDB wire messages in a staging environment to confirm panic recovery works as expected.

Detection guidance

Monitor instrumentation agent logs for panic messages or crash events, particularly those mentioning MongoDB parser or wire protocol handling. Set up alerting on agent restart frequency; an abnormal spike may indicate active exploitation. Use network intrusion detection to flag malformed MongoDB frames destined for your telemetry infrastructure. Examine packet captures for truncated, oversized, or malformed MongoDB frame headers. In Kubernetes, track pod restarts on nodes running the instrumentation DaemonSet and correlate them with suspicious network activity. Correlate agent crashes with inbound network connections to the telemetry port.

Why prioritize this

Although the CVSS score is 7.5 (High), prioritization should also weigh the operational impact and attack surface. If your telemetry agents are network-exposed or run in untrusted environments, this is a critical priority. If agents are isolated to internal networks with strict ingress rules, the risk is lower. Prioritize patching in multi-tenant Kubernetes clusters, cloud-native environments with external load balancers, or edge deployments where network segmentation is weak. Quick patching is justified by the low barrier to exploitation and immediate availability impact.

Risk score, explained

The CVSS 3.1 score of 7.5 reflects a High-severity attack. The vector (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) indicates network accessibility (AV:N), low attack complexity (AC:L), no required privileges (PR:N), no user interaction (UI:N), unchanged scope (S:U), no confidentiality impact (C:N), no integrity impact (I:N), but high availability impact (A:H). The lack of confidentiality or integrity compromise prevents a Critical rating, but the ease and remoteness of the attack elevate it above Medium. The unauthenticated nature and low complexity push it to the High tier.

Frequently asked questions