Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2023-49992: n/a

0
Unknown
VulnerabilityCVE-2023-49992cvecve-2023-49992
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 Overflow via the function RemoveEnding at dictionary.c.

AI-Powered Analysis

AILast updated: 11/03/2025, 19:51:46 UTC

Technical Analysis

CVE-2023-49992 identifies a stack buffer overflow vulnerability in the Espeak-ng text-to-speech engine, version 1.52-dev, specifically within the RemoveEnding function located in dictionary.c. A stack buffer overflow occurs when a program writes more data to a buffer located on the stack than it can hold, potentially overwriting adjacent memory and leading to arbitrary code execution or program crashes. In this case, the RemoveEnding function improperly handles input data, allowing an attacker to overflow the stack buffer. Exploiting this vulnerability could enable an attacker to execute arbitrary code with the privileges of the Espeak-ng process or cause a denial of service by crashing the application. Espeak-ng is widely used in open-source speech synthesis applications, embedded devices, and accessibility tools, making this vulnerability relevant to a broad range of software and hardware environments. No CVSS score has been assigned yet, and no public exploits are known, but the nature of the vulnerability suggests a significant risk. The vulnerability was reserved on December 4, 2023, and published on December 12, 2023, indicating recent discovery. The lack of patch links suggests that fixes may not yet be publicly available, emphasizing the need for vigilance and interim mitigations. Since Espeak-ng is often integrated into Linux-based systems and open-source projects, the vulnerability could affect many deployments, especially those that process untrusted input or are exposed to external data sources. The absence of authentication or user interaction requirements increases the risk of exploitation in automated or remote attack scenarios.

Potential Impact

For European organizations, the impact of CVE-2023-49992 could be significant, particularly for those relying on Espeak-ng for accessibility services, embedded systems, or software that processes text-to-speech conversions. Successful exploitation could lead to arbitrary code execution, allowing attackers to gain control over affected systems, potentially leading to data breaches, system manipulation, or disruption of critical services. Denial of service attacks could impair accessibility tools, affecting users with disabilities and causing compliance issues with European accessibility regulations. Organizations in sectors such as healthcare, public services, and telecommunications that utilize speech synthesis may face operational disruptions. Additionally, embedded devices using Espeak-ng in IoT or industrial control systems could be compromised, posing risks to infrastructure security. The lack of known exploits currently reduces immediate risk, but the vulnerability's nature means it could be weaponized once exploit code becomes available. The broad use of open-source software in Europe increases the likelihood of exposure, especially in countries with strong open-source adoption and digital public services.

Mitigation Recommendations

1. Monitor official Espeak-ng repositories and security advisories for patches addressing CVE-2023-49992 and apply updates promptly once available. 2. Until patches are released, implement input validation and sanitization to restrict or verify data passed to the RemoveEnding function or any text-to-speech processing components. 3. Employ runtime protections such as stack canaries, address space layout randomization (ASLR), and control flow integrity (CFI) to mitigate exploitation risks. 4. Conduct code audits and static analysis on custom integrations of Espeak-ng to identify unsafe usage patterns. 5. Restrict access to services or applications using Espeak-ng to trusted users and networks to reduce exposure to untrusted input. 6. Use containerization or sandboxing to isolate Espeak-ng processes, limiting potential damage from exploitation. 7. Educate developers and system administrators about the vulnerability and encourage proactive security hygiene around open-source dependencies. 8. Implement comprehensive logging and monitoring to detect anomalous behavior indicative of exploitation attempts.

Need more detailed analysis?Get Pro

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: 690904ae00ff46172d4a0dc1

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

Last enriched: 11/3/2025, 7:51:46 PM

Last updated: 11/6/2025, 9:23:08 AM

Views: 4

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need enhanced features?

Contact root@offseq.com for Pro access with improved analysis and higher rate limits.

Latest Threats