Resource exhaustion in Open-Telemetry Opentelemetry-Python-Contrib
CVE-2023-43810
OpenTelemetry, also known as OTel for short, is a vendor-neutral open-source Observability framework for instrumenting, generating, collecting, and exporting telemetry data such as traces, metrics, logs. Autoinstrumentation out of the box adds the label `http_method` that has unbound cardinality. It leads to the server's potential memory exhaustion when many malicious requests are sent. HTTP method for requests can be easily set by an attacker to be random and long. In order to be affected program has to be instrumented for HTTP handlers and does not filter any unknown HTTP methods on the level of CDN, LB, previous middleware, etc. This issue has been patched in version 0.41b0.
Vulnerability class: DoS (Denial of Service)
EPSS: 0.007 (48.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.
Affected products
- Open-telemetry Opentelemetry-python-contrib — versions < 0.41b0
- Opentelemetry
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC)
- security-advisories@github.com (x_refsource_MISC, Release Notes)
Frequently asked questions
- What is CVE-2023-43810?
- CVE-2023-43810 is a high-severity vulnerability in Open-Telemetry Opentelemetry-Python-Contrib, classified under Uncontrolled Resource Consumption. CVSS score: 7.5/10. Published 2023-10-06.
- How severe is CVE-2023-43810?
- High severity. CVSS v3 base score is 7.5 out of 10.