CVE-2025-47869

June 16, 2025, 5:15 p.m.

9.8
Critical

Description

Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability was discovered in Apache NuttX RTOS apps/exapmles/xmlrpc application. In this example application device stats structure that stored remotely provided parameters had hardcoded buffer size which could lead to buffer overflow. Structure members buffers were updated to valid size of CONFIG_XMLRPC_STRINGSIZE+1. This issue affects Apache NuttX RTOS users that may have used or base their code on example application as presented in releases from 6.22 before 12.9.0. Users of XMLRPC in Apache NuttX RTOS are advised to review their code for this pattern and update buffer sizes as presented in the version of the example in release 12.9.0.

Product(s) Impacted

Vendor Product Versions
Apache
  • Nuttx
  • <6.22-12.9.0>

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-119
Improper Restriction of Operations within the Bounds of a Memory Buffer
The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer.

*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 apache nuttx <6.22-12.9.0> / / / / / / /

CVSS Score

9.8 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: June 16, 2025, 11:15 a.m.
Last Modified: June 16, 2025, 5:15 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

More info

Source

security@apache.org

*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.