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CVE-2023-49991: n/a

0
Unknown
VulnerabilityCVE-2023-49991cvecve-2023-49991
Published: Tue Dec 12 2023 (12/12/2023, 00:00:00 UTC)
Source: CVE Database V5

Description

Espeak-ng 1.52-dev was discovered to contain a Stack Buffer Underflow via the function CountVowelPosition at synthdata.c.

AI-Powered Analysis

AILast updated: 11/03/2025, 19:52:02 UTC

Technical Analysis

The vulnerability identified as CVE-2023-49991 affects Espeak-ng version 1.52-dev, an open-source text-to-speech engine widely used in accessibility tools, embedded systems, and software requiring speech synthesis. The flaw is a stack buffer underflow located in the CountVowelPosition function within the synthdata.c source file. A stack buffer underflow occurs when a program writes data before the start of a buffer on the stack, leading to memory corruption. This can destabilize the application, cause crashes (denial of service), or potentially allow an attacker to execute arbitrary code if exploited correctly. The vulnerability arises from improper bounds checking or indexing errors when processing vowel positions in the synthesis data. No CVSS score has been assigned yet, and no patches or fixes have been published as of the vulnerability disclosure date (December 12, 2023). There are also no known exploits in the wild, indicating that active exploitation has not been observed. However, the nature of the vulnerability suggests that an attacker who can supply crafted input to the text-to-speech engine could trigger the underflow. This could be relevant in environments where Espeak-ng processes untrusted or user-supplied data, such as web services, accessibility applications, or embedded devices. The lack of authentication requirements and the potential for arbitrary code execution elevate the risk profile. The vulnerability's impact depends on the deployment context and whether the vulnerable function is reachable with attacker-controlled input.

Potential Impact

For European organizations, the impact of CVE-2023-49991 could be significant in sectors relying on Espeak-ng for accessibility services, embedded systems, or software that processes user-generated content with speech synthesis. Exploitation could lead to denial of service, disrupting critical services such as assistive technologies for disabled users, customer support bots, or automated announcements. More severe exploitation could allow attackers to execute arbitrary code, potentially leading to full system compromise, data breaches, or lateral movement within networks. This risk is heightened in environments where Espeak-ng is integrated into larger software stacks without strict input validation or sandboxing. The disruption of accessibility tools could also have regulatory and reputational consequences under European laws protecting disabled persons and data privacy. Additionally, embedded systems in industrial, automotive, or IoT devices using Espeak-ng might be vulnerable to remote attacks, impacting operational technology and critical infrastructure. The absence of known exploits provides a window for proactive mitigation but also means organizations must act before attackers develop weaponized exploits.

Mitigation Recommendations

European organizations should immediately inventory their use of Espeak-ng, identifying all systems and applications running version 1.52-dev or related vulnerable builds. Since no official patch is currently available, organizations should consider the following mitigations: 1) Restrict or sanitize all inputs to Espeak-ng, especially those originating from untrusted or external sources, to prevent triggering the vulnerable function. 2) Employ application-level sandboxing or containerization to limit the impact of potential exploitation. 3) Monitor system logs and application behavior for crashes or anomalies related to speech synthesis processes. 4) Engage with the Espeak-ng development community to track patch releases and apply updates promptly once available. 5) For critical systems, consider temporarily disabling or replacing Espeak-ng with alternative text-to-speech engines until a fix is released. 6) Implement network segmentation and access controls to reduce exposure of vulnerable services. 7) Conduct targeted security testing and fuzzing on speech synthesis inputs to detect exploitation attempts. These measures go beyond generic advice by focusing on input control, containment, and proactive monitoring tailored to the nature of this vulnerability.

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Technical Details

Data Version
5.2
Assigner Short Name
mitre
Date Reserved
2023-12-04T00:00:00.000Z
Cvss Version
null
State
PUBLISHED

Threat ID: 690904ae00ff46172d4a0dbb

Added to database: 11/3/2025, 7:38:22 PM

Last enriched: 11/3/2025, 7:52:02 PM

Last updated: 11/6/2025, 8:03:24 AM

Views: 3

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