CVE-2026-45686

June 3, 2026, 4:52 p.m.

7.5
High

Description

OpenTelemetry eBPF Instrumentation provides eBPF instrumentation based on the OpenTelemetry standard. From version 0.7.0 to before version 0.9.0, a remotely reachable integer overflow in OBI's memcached text protocol parser can crash the OBI process and cause denial of service. When parsing memcached storage commands such as set, add, replace, append, prepend, or cas, OBI accepts extremely large <bytes> values and adds the payload delimiter length without checking for overflow. A crafted request with <bytes> set to math.MaxInt or math.MaxInt-1 causes the computed payload length to wrap negative and triggers a runtime panic in LargeBufferReader.Peek. This issue has been patched in version 0.9.0.

Product(s) Impacted

Vendor Product Versions
Opentelemetry
  • Ebpf Instrumentation
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-190
Integer Overflow or Wraparound
The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.

*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 ebpf_instrumentation / / / / / go / /

CVSS Score

7.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: June 2, 2026, 4:16 p.m.
Last Modified: June 3, 2026, 4:52 p.m.

Status : Analyzed

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.