codeaurora android-msm CVE-2013-2597 is a vulnerability in Codeaurora Android Msm
Published on August 31, 2014

Stack-based buffer overflow in the acdb_ioctl function in audio_acdb.c in the acdb audio driver for the Linux kernel 2.6.x and 3.x, as used in Qualcomm Innovation Center (QuIC) Android contributions for MSM devices and other products, allows attackers to gain privileges via an application that leverages /dev/msm_acdb access and provides a large size value in an ioctl argument.

NVD

Known Exploited Vulnerability

This Code Aurora ACDB Audio Driver Stack-based Buffer Overflow Vulnerability is part of CISA's list of Known Exploited Vulnerabilities. The Code Aurora audio calibration database (acdb) audio driver contains a stack-based buffer overflow vulnerability which allows for privilege escalation. Code Aurora is used in third-party products such as Qualcomm and Android.

The following remediation steps are recommended / required by October 6, 2022: Apply updates per vendor instructions.

Vulnerability Analysis

CVE-2013-2597 can be exploited with local system access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. This vulnerability is known to be actively exploited by threat actors. The potential impact of an exploit of this vulnerability is considered to be very high.

Attack Vector:
LOCAL
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
HIGH

Weakness Type

What is a Stack Overflow Vulnerability?

A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function).

CVE-2013-2597 has been classified to as a Stack Overflow vulnerability or weakness.


Products Associated with CVE-2013-2597

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Exploit Probability

EPSS
6.74%
Percentile
91.16%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.