CVE-2023-49993: n/a
Espeak-ng 1.52-dev was discovered to contain a Buffer Overflow via the function ReadClause at readclause.c.
AI Analysis
Technical Summary
CVE-2023-49993 identifies a buffer overflow vulnerability in the Espeak-ng software version 1.52-dev, specifically within the ReadClause function implemented in the readclause.c source file. Buffer overflows occur when a program writes more data to a buffer than it can hold, leading to memory corruption. In this case, the ReadClause function likely processes input data or text clauses without adequate bounds checking, allowing an attacker to craft malicious input that overflows the buffer. This can result in overwriting adjacent memory, potentially enabling arbitrary code execution, crashing the application, or causing denial of service. Espeak-ng is an open-source text-to-speech engine used in various applications, including assistive technologies, embedded systems, and software requiring speech synthesis. Although no CVSS score has been assigned yet and no public exploits are known, the vulnerability is published and reserved under CVE-2023-49993. The lack of a patch link suggests that a fix may not yet be publicly available, increasing the urgency for organizations to monitor updates. Exploitation would typically require feeding malicious input to the vulnerable function, which may be possible in scenarios where Espeak-ng processes untrusted text data. The vulnerability affects confidentiality, integrity, and availability by potentially allowing code execution or service disruption. Given the technical details, this vulnerability represents a significant risk to systems using Espeak-ng without mitigations.
Potential Impact
For European organizations, the impact of CVE-2023-49993 could be substantial, especially for those relying on Espeak-ng in critical systems such as assistive technology devices, embedded systems, or software platforms providing text-to-speech capabilities. Exploitation could lead to unauthorized code execution, enabling attackers to compromise system integrity, exfiltrate sensitive data, or disrupt services. This is particularly concerning for healthcare providers, accessibility service vendors, and public sector organizations that may use Espeak-ng for accessibility compliance. The denial of service potential could affect availability, causing interruptions in services that rely on speech synthesis. Additionally, organizations integrating Espeak-ng into larger software stacks may face cascading effects if the vulnerability is exploited. The absence of known exploits currently reduces immediate risk but does not eliminate the threat, as attackers may develop exploits once patches are released. Therefore, European entities should consider the vulnerability a high-risk issue requiring prompt attention to avoid operational and reputational damage.
Mitigation Recommendations
Organizations should first inventory all systems and applications utilizing Espeak-ng to understand exposure. Since no official patch is currently linked, monitoring the Espeak-ng project repositories and security advisories for updates is critical. In the interim, restrict input sources to Espeak-ng to trusted data only, minimizing exposure to crafted malicious input. Employ runtime memory protection mechanisms such as Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP), and stack canaries to reduce exploitation likelihood. Conduct code audits or fuzz testing on Espeak-ng usage within your environment to detect anomalous behavior. If feasible, isolate Espeak-ng processes in sandboxed environments or containers to limit impact scope. Prepare incident response plans specific to potential exploitation scenarios. Once patches are available, prioritize immediate deployment and validate fixes through testing. Additionally, consider alternative text-to-speech engines with robust security track records if mitigation timelines are uncertain.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Denmark
CVE-2023-49993: n/a
Description
Espeak-ng 1.52-dev was discovered to contain a Buffer Overflow via the function ReadClause at readclause.c.
AI-Powered Analysis
Technical Analysis
CVE-2023-49993 identifies a buffer overflow vulnerability in the Espeak-ng software version 1.52-dev, specifically within the ReadClause function implemented in the readclause.c source file. Buffer overflows occur when a program writes more data to a buffer than it can hold, leading to memory corruption. In this case, the ReadClause function likely processes input data or text clauses without adequate bounds checking, allowing an attacker to craft malicious input that overflows the buffer. This can result in overwriting adjacent memory, potentially enabling arbitrary code execution, crashing the application, or causing denial of service. Espeak-ng is an open-source text-to-speech engine used in various applications, including assistive technologies, embedded systems, and software requiring speech synthesis. Although no CVSS score has been assigned yet and no public exploits are known, the vulnerability is published and reserved under CVE-2023-49993. The lack of a patch link suggests that a fix may not yet be publicly available, increasing the urgency for organizations to monitor updates. Exploitation would typically require feeding malicious input to the vulnerable function, which may be possible in scenarios where Espeak-ng processes untrusted text data. The vulnerability affects confidentiality, integrity, and availability by potentially allowing code execution or service disruption. Given the technical details, this vulnerability represents a significant risk to systems using Espeak-ng without mitigations.
Potential Impact
For European organizations, the impact of CVE-2023-49993 could be substantial, especially for those relying on Espeak-ng in critical systems such as assistive technology devices, embedded systems, or software platforms providing text-to-speech capabilities. Exploitation could lead to unauthorized code execution, enabling attackers to compromise system integrity, exfiltrate sensitive data, or disrupt services. This is particularly concerning for healthcare providers, accessibility service vendors, and public sector organizations that may use Espeak-ng for accessibility compliance. The denial of service potential could affect availability, causing interruptions in services that rely on speech synthesis. Additionally, organizations integrating Espeak-ng into larger software stacks may face cascading effects if the vulnerability is exploited. The absence of known exploits currently reduces immediate risk but does not eliminate the threat, as attackers may develop exploits once patches are released. Therefore, European entities should consider the vulnerability a high-risk issue requiring prompt attention to avoid operational and reputational damage.
Mitigation Recommendations
Organizations should first inventory all systems and applications utilizing Espeak-ng to understand exposure. Since no official patch is currently linked, monitoring the Espeak-ng project repositories and security advisories for updates is critical. In the interim, restrict input sources to Espeak-ng to trusted data only, minimizing exposure to crafted malicious input. Employ runtime memory protection mechanisms such as Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP), and stack canaries to reduce exploitation likelihood. Conduct code audits or fuzz testing on Espeak-ng usage within your environment to detect anomalous behavior. If feasible, isolate Espeak-ng processes in sandboxed environments or containers to limit impact scope. Prepare incident response plans specific to potential exploitation scenarios. Once patches are available, prioritize immediate deployment and validate fixes through testing. Additionally, consider alternative text-to-speech engines with robust security track records if mitigation timelines are uncertain.
Affected Countries
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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: 690904ae00ff46172d4a0dc7
Added to database: 11/3/2025, 7:38:22 PM
Last enriched: 11/3/2025, 7:51:26 PM
Last updated: 11/6/2025, 10:35:31 AM
Views: 4
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