CVE-2023-49990: n/a
Espeak-ng 1.52-dev was discovered to contain a buffer-overflow via the function SetUpPhonemeTable at synthdata.c.
AI Analysis
Technical Summary
CVE-2023-49990 identifies a buffer overflow vulnerability in the open-source speech synthesis software Espeak-ng, specifically in the SetUpPhonemeTable function located in the synthdata.c source file. The vulnerability arises from improper bounds checking when setting up phoneme tables, leading to potential memory corruption. This type of flaw is classified under CWE-120, which involves classic buffer overflows that can lead to arbitrary code execution or denial of service if exploited. The affected version is 1.52-dev, a development release, and no specific stable versions have been listed as affected. The CVSS 3.1 base score is 5.3 (medium severity), with the vector indicating local attack vector (AV:L), low attack complexity (AC:L), no privileges required (PR:N), user interaction required (UI:R), unchanged scope (S:U), and low impact on confidentiality, integrity, and availability (C:L/I:L/A:L). Exploitation requires an attacker to have local access and trick a user into triggering the vulnerability, limiting remote exploitation. No public exploits or patches are currently available, suggesting the vulnerability is newly disclosed and not yet weaponized. The vulnerability could allow attackers to cause application crashes or potentially execute arbitrary code if further exploited, impacting systems that rely on Espeak-ng for speech synthesis tasks.
Potential Impact
For European organizations, the impact of CVE-2023-49990 depends largely on the deployment of Espeak-ng within their environments. Espeak-ng is commonly used in accessibility tools, screen readers, and embedded systems requiring text-to-speech functionality. A successful exploit could lead to denial of service by crashing applications or potentially allow local privilege escalation or code execution, threatening system integrity and availability. Confidentiality impact is low but not negligible if code execution is achieved. Organizations in sectors such as healthcare, education, and government that rely on speech synthesis for accessibility may face operational disruptions. Since exploitation requires local access and user interaction, the threat is more relevant to insider threats or compromised endpoints rather than remote attackers. The lack of known exploits reduces immediate risk but does not eliminate the need for vigilance. Failure to address this vulnerability could expose organizations to targeted attacks aiming to disrupt critical accessibility services or embedded device functionality.
Mitigation Recommendations
To mitigate CVE-2023-49990, European organizations should: 1) Monitor Espeak-ng project repositories and security advisories for official patches or updates addressing this vulnerability and apply them promptly. 2) Restrict local access to systems running Espeak-ng, ensuring only trusted users can execute or interact with the software. 3) Implement application whitelisting and endpoint protection to detect anomalous behavior indicative of exploitation attempts. 4) Educate users about the risks of interacting with untrusted files or inputs that could trigger the vulnerability. 5) Where possible, sandbox or isolate speech synthesis processes to limit the impact of potential exploits. 6) Conduct code reviews and static analysis if maintaining custom builds of Espeak-ng to identify and remediate unsafe buffer handling. 7) Employ runtime protections such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) to reduce exploitation success likelihood. 8) For embedded or specialized devices using Espeak-ng, coordinate with vendors to ensure firmware updates incorporate vulnerability fixes.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden
CVE-2023-49990: n/a
Description
Espeak-ng 1.52-dev was discovered to contain a buffer-overflow via the function SetUpPhonemeTable at synthdata.c.
AI-Powered Analysis
Technical Analysis
CVE-2023-49990 identifies a buffer overflow vulnerability in the open-source speech synthesis software Espeak-ng, specifically in the SetUpPhonemeTable function located in the synthdata.c source file. The vulnerability arises from improper bounds checking when setting up phoneme tables, leading to potential memory corruption. This type of flaw is classified under CWE-120, which involves classic buffer overflows that can lead to arbitrary code execution or denial of service if exploited. The affected version is 1.52-dev, a development release, and no specific stable versions have been listed as affected. The CVSS 3.1 base score is 5.3 (medium severity), with the vector indicating local attack vector (AV:L), low attack complexity (AC:L), no privileges required (PR:N), user interaction required (UI:R), unchanged scope (S:U), and low impact on confidentiality, integrity, and availability (C:L/I:L/A:L). Exploitation requires an attacker to have local access and trick a user into triggering the vulnerability, limiting remote exploitation. No public exploits or patches are currently available, suggesting the vulnerability is newly disclosed and not yet weaponized. The vulnerability could allow attackers to cause application crashes or potentially execute arbitrary code if further exploited, impacting systems that rely on Espeak-ng for speech synthesis tasks.
Potential Impact
For European organizations, the impact of CVE-2023-49990 depends largely on the deployment of Espeak-ng within their environments. Espeak-ng is commonly used in accessibility tools, screen readers, and embedded systems requiring text-to-speech functionality. A successful exploit could lead to denial of service by crashing applications or potentially allow local privilege escalation or code execution, threatening system integrity and availability. Confidentiality impact is low but not negligible if code execution is achieved. Organizations in sectors such as healthcare, education, and government that rely on speech synthesis for accessibility may face operational disruptions. Since exploitation requires local access and user interaction, the threat is more relevant to insider threats or compromised endpoints rather than remote attackers. The lack of known exploits reduces immediate risk but does not eliminate the need for vigilance. Failure to address this vulnerability could expose organizations to targeted attacks aiming to disrupt critical accessibility services or embedded device functionality.
Mitigation Recommendations
To mitigate CVE-2023-49990, European organizations should: 1) Monitor Espeak-ng project repositories and security advisories for official patches or updates addressing this vulnerability and apply them promptly. 2) Restrict local access to systems running Espeak-ng, ensuring only trusted users can execute or interact with the software. 3) Implement application whitelisting and endpoint protection to detect anomalous behavior indicative of exploitation attempts. 4) Educate users about the risks of interacting with untrusted files or inputs that could trigger the vulnerability. 5) Where possible, sandbox or isolate speech synthesis processes to limit the impact of potential exploits. 6) Conduct code reviews and static analysis if maintaining custom builds of Espeak-ng to identify and remediate unsafe buffer handling. 7) Employ runtime protections such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) to reduce exploitation success likelihood. 8) For embedded or specialized devices using Espeak-ng, coordinate with vendors to ensure firmware updates incorporate vulnerability fixes.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2023-12-04T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 690904ae00ff46172d4a0db5
Added to database: 11/3/2025, 7:38:22 PM
Last enriched: 11/11/2025, 1:14:40 AM
Last updated: 2/7/2026, 1:09:32 PM
Views: 41
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