CVE-2026-45287

June 4, 2026, 4:23 p.m.

2.1
Low

Description

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.

Product(s) Impacted

Vendor Product Versions
Opentelemetry
  • Opentelemetry-go
  • <0.0.17

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-772
Missing Release of Resource after Effective Lifetime
The product does not release a resource after its effective lifetime has ended, i.e., after the resource is no longer needed.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a opentelemetry opentelemetry-go <0.0.17 / / / / / / /

CVSS Score

2.1 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: June 4, 2026, 4:16 p.m.
Last Modified: June 4, 2026, 4:23 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.