CVE-2023-49991: n/a
Espeak-ng 1.52-dev was discovered to contain a Stack Buffer Underflow via the function CountVowelPosition at synthdata.c.
AI Analysis
Technical Summary
CVE-2023-49991 identifies a stack buffer underflow vulnerability in Espeak-ng, an open-source text-to-speech engine widely used for speech synthesis and accessibility applications. The flaw resides in the CountVowelPosition function within the synthdata.c source file. A stack buffer underflow occurs when a program writes data before the beginning of a buffer, potentially overwriting adjacent memory regions. This can lead to undefined behavior including application crashes, data corruption, or arbitrary code execution if exploited by a malicious actor. The vulnerability was discovered in Espeak-ng version 1.52-dev, a development version, but may also affect other versions if the vulnerable code is present. No CVSS score has been assigned yet, and no public exploits have been reported. However, the nature of stack buffer underflows typically allows attackers to manipulate program control flow or cause denial of service. Espeak-ng is used in various platforms including Linux distributions, embedded devices, and assistive technology products, making the vulnerability relevant to a broad range of users. The absence of patches at the time of disclosure means organizations should monitor for updates and consider temporary mitigations such as input validation and runtime protections. The vulnerability was reserved on December 4, 2023, and published on December 12, 2023, indicating recent discovery and disclosure.
Potential Impact
The primary impact of CVE-2023-49991 is on the confidentiality, integrity, and availability of systems running vulnerable versions of Espeak-ng. Exploitation could allow attackers to execute arbitrary code with the privileges of the Espeak-ng process, potentially leading to system compromise or lateral movement within a network. For European organizations, this could disrupt services relying on text-to-speech functionality, including accessibility tools for disabled users, automated customer support systems, and embedded devices in industrial or consumer products. Data integrity could be compromised if memory corruption affects processing logic, and availability could be impacted by crashes or denial-of-service conditions. Although no exploits are currently known, the vulnerability's presence in open-source software used across multiple sectors increases the risk profile. Organizations in sectors such as healthcare, telecommunications, and public services, which often deploy assistive technologies or voice-enabled systems, may face operational and reputational damage if exploited.
Mitigation Recommendations
1. Monitor official Espeak-ng repositories and security advisories for patches addressing CVE-2023-49991 and apply them promptly once available. 2. Conduct an inventory of all systems and applications using Espeak-ng, especially those running version 1.52-dev or other development builds, to identify vulnerable instances. 3. Employ runtime memory protection mechanisms such as stack canaries, Address Space Layout Randomization (ASLR), and Data Execution Prevention (DEP) to reduce exploitation likelihood. 4. Use static and dynamic analysis tools to detect anomalous memory behavior in applications integrating Espeak-ng. 5. Where feasible, restrict Espeak-ng execution privileges to minimize impact if exploited, using containerization or sandboxing techniques. 6. Implement input validation and sanitization on data passed to Espeak-ng to prevent malformed inputs from triggering the vulnerability. 7. Educate development and security teams about the risks associated with buffer underflow vulnerabilities and encourage secure coding practices in related projects. 8. Prepare incident response plans to quickly address potential exploitation scenarios involving Espeak-ng.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland
CVE-2023-49991: n/a
Description
Espeak-ng 1.52-dev was discovered to contain a Stack Buffer Underflow via the function CountVowelPosition at synthdata.c.
AI-Powered Analysis
Technical Analysis
CVE-2023-49991 identifies a stack buffer underflow vulnerability in Espeak-ng, an open-source text-to-speech engine widely used for speech synthesis and accessibility applications. The flaw resides in the CountVowelPosition function within the synthdata.c source file. A stack buffer underflow occurs when a program writes data before the beginning of a buffer, potentially overwriting adjacent memory regions. This can lead to undefined behavior including application crashes, data corruption, or arbitrary code execution if exploited by a malicious actor. The vulnerability was discovered in Espeak-ng version 1.52-dev, a development version, but may also affect other versions if the vulnerable code is present. No CVSS score has been assigned yet, and no public exploits have been reported. However, the nature of stack buffer underflows typically allows attackers to manipulate program control flow or cause denial of service. Espeak-ng is used in various platforms including Linux distributions, embedded devices, and assistive technology products, making the vulnerability relevant to a broad range of users. The absence of patches at the time of disclosure means organizations should monitor for updates and consider temporary mitigations such as input validation and runtime protections. The vulnerability was reserved on December 4, 2023, and published on December 12, 2023, indicating recent discovery and disclosure.
Potential Impact
The primary impact of CVE-2023-49991 is on the confidentiality, integrity, and availability of systems running vulnerable versions of Espeak-ng. Exploitation could allow attackers to execute arbitrary code with the privileges of the Espeak-ng process, potentially leading to system compromise or lateral movement within a network. For European organizations, this could disrupt services relying on text-to-speech functionality, including accessibility tools for disabled users, automated customer support systems, and embedded devices in industrial or consumer products. Data integrity could be compromised if memory corruption affects processing logic, and availability could be impacted by crashes or denial-of-service conditions. Although no exploits are currently known, the vulnerability's presence in open-source software used across multiple sectors increases the risk profile. Organizations in sectors such as healthcare, telecommunications, and public services, which often deploy assistive technologies or voice-enabled systems, may face operational and reputational damage if exploited.
Mitigation Recommendations
1. Monitor official Espeak-ng repositories and security advisories for patches addressing CVE-2023-49991 and apply them promptly once available. 2. Conduct an inventory of all systems and applications using Espeak-ng, especially those running version 1.52-dev or other development builds, to identify vulnerable instances. 3. Employ runtime memory protection mechanisms such as stack canaries, Address Space Layout Randomization (ASLR), and Data Execution Prevention (DEP) to reduce exploitation likelihood. 4. Use static and dynamic analysis tools to detect anomalous memory behavior in applications integrating Espeak-ng. 5. Where feasible, restrict Espeak-ng execution privileges to minimize impact if exploited, using containerization or sandboxing techniques. 6. Implement input validation and sanitization on data passed to Espeak-ng to prevent malformed inputs from triggering the vulnerability. 7. Educate development and security teams about the risks associated with buffer underflow vulnerabilities and encourage secure coding practices in related projects. 8. Prepare incident response plans to quickly address potential exploitation scenarios involving Espeak-ng.
Affected Countries
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: 11/11/2025, 1:14:54 AM
Last updated: 2/5/2026, 5:56:09 AM
Views: 44
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