CVE-2024-48982

Nov. 25, 2024, 9:15 p.m.

7.5
High

Description

An issue was discovered in MBed OS 6.16.0. Its hci parsing software dynamically determines the length of certain hci packets by reading a byte from its header. This value is assumed to be greater than or equal to 3, but the software doesn't ensure that this is the case. Supplying a length less than 3 leads to a buffer overflow in a buffer that is allocated later. It is simultaneously possible to cause another integer overflow by supplying large length values because the provided length value is increased by a few bytes to account for additional information that is supposed to be stored there. This bug is trivial to exploit for a denial of service but is not certain to suffice to bring the system down and can generally not be exploited further because the exploitable buffer is dynamically allocated.

Product(s) Impacted

Vendor Product Versions
Arm
  • Mbed
  • 6.16.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-120
Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow.

*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
o arm mbed 6.16.0 / / / / / / /

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: Nov. 20, 2024, 9:15 p.m.
Last Modified: Nov. 25, 2024, 9:15 p.m.

Status : Modified

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

More info

Source

cve@mitre.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.