CVE-2023-5349: Missing Release of Memory after Effective Lifetime in rmagick
A memory leak flaw was found in ruby-magick, an interface between Ruby and ImageMagick. This issue can lead to a denial of service (DOS) by memory exhaustion.
AI Analysis
Technical Summary
CVE-2023-5349 identifies a memory leak vulnerability in rmagick, a Ruby binding for the ImageMagick image processing library. The flaw arises from the failure to release allocated memory after its effective lifetime, causing memory consumption to grow uncontrollably during image processing operations. This unchecked memory growth can lead to denial of service conditions by exhausting system memory resources, potentially crashing the application or degrading system performance. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile in exposed environments. While no known exploits have been reported in the wild, the vulnerability affects any Ruby application using rmagick for image manipulation, which is common in web applications, content management systems, and automated image processing pipelines. The CVSS 3.1 score of 5.3 (medium severity) reflects the vulnerability's impact on availability only, with no direct confidentiality or integrity compromise. The attack vector is network-based with low complexity and no privileges required, making exploitation feasible in exposed scenarios. The lack of a patch at the time of reporting necessitates interim mitigations such as monitoring memory usage and applying resource constraints. The vulnerability was published on October 30, 2023, and assigned by Red Hat, indicating vendor awareness and likely forthcoming fixes.
Potential Impact
For European organizations, this vulnerability poses a risk primarily to service availability. Enterprises and service providers using Ruby applications with rmagick for image processing may experience application crashes or degraded performance due to memory exhaustion, leading to denial of service. This can disrupt business operations, especially for web services handling high volumes of image uploads or transformations. The impact is more pronounced in cloud or containerized environments where memory limits are strictly enforced, potentially causing container restarts or service downtime. While confidentiality and integrity are not directly affected, the availability impact can lead to reputational damage and financial losses. Organizations in sectors such as media, e-commerce, and software development that rely on Ruby and ImageMagick integrations are particularly vulnerable. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits given the low complexity of exploitation. European regulatory frameworks emphasizing service availability and operational resilience (e.g., NIS Directive) increase the importance of timely mitigation.
Mitigation Recommendations
Organizations should proactively monitor memory usage of applications using rmagick and implement resource limits at the process or container level to prevent uncontrolled memory consumption. Applying rate limiting or input validation on image processing endpoints can reduce the risk of exploitation by limiting the volume and size of images processed. It is critical to track vendor advisories and update rmagick to patched versions as soon as they become available. In the absence of a patch, consider isolating image processing workloads in separate environments with strict memory quotas and restart policies to contain potential DoS effects. Reviewing application code for proper memory management and avoiding unnecessary image processing can also reduce exposure. Additionally, implementing robust logging and alerting on abnormal memory usage patterns will enable early detection of exploitation attempts. Network-level protections such as Web Application Firewalls (WAFs) can help block suspicious traffic targeting image processing endpoints. Finally, educating developers about secure usage of rmagick and ImageMagick can prevent inadvertent introduction of similar issues.
Affected Countries
United Kingdom, Germany, France, Netherlands, Sweden
CVE-2023-5349: Missing Release of Memory after Effective Lifetime in rmagick
Description
A memory leak flaw was found in ruby-magick, an interface between Ruby and ImageMagick. This issue can lead to a denial of service (DOS) by memory exhaustion.
AI-Powered Analysis
Technical Analysis
CVE-2023-5349 identifies a memory leak vulnerability in rmagick, a Ruby binding for the ImageMagick image processing library. The flaw arises from the failure to release allocated memory after its effective lifetime, causing memory consumption to grow uncontrollably during image processing operations. This unchecked memory growth can lead to denial of service conditions by exhausting system memory resources, potentially crashing the application or degrading system performance. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile in exposed environments. While no known exploits have been reported in the wild, the vulnerability affects any Ruby application using rmagick for image manipulation, which is common in web applications, content management systems, and automated image processing pipelines. The CVSS 3.1 score of 5.3 (medium severity) reflects the vulnerability's impact on availability only, with no direct confidentiality or integrity compromise. The attack vector is network-based with low complexity and no privileges required, making exploitation feasible in exposed scenarios. The lack of a patch at the time of reporting necessitates interim mitigations such as monitoring memory usage and applying resource constraints. The vulnerability was published on October 30, 2023, and assigned by Red Hat, indicating vendor awareness and likely forthcoming fixes.
Potential Impact
For European organizations, this vulnerability poses a risk primarily to service availability. Enterprises and service providers using Ruby applications with rmagick for image processing may experience application crashes or degraded performance due to memory exhaustion, leading to denial of service. This can disrupt business operations, especially for web services handling high volumes of image uploads or transformations. The impact is more pronounced in cloud or containerized environments where memory limits are strictly enforced, potentially causing container restarts or service downtime. While confidentiality and integrity are not directly affected, the availability impact can lead to reputational damage and financial losses. Organizations in sectors such as media, e-commerce, and software development that rely on Ruby and ImageMagick integrations are particularly vulnerable. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits given the low complexity of exploitation. European regulatory frameworks emphasizing service availability and operational resilience (e.g., NIS Directive) increase the importance of timely mitigation.
Mitigation Recommendations
Organizations should proactively monitor memory usage of applications using rmagick and implement resource limits at the process or container level to prevent uncontrolled memory consumption. Applying rate limiting or input validation on image processing endpoints can reduce the risk of exploitation by limiting the volume and size of images processed. It is critical to track vendor advisories and update rmagick to patched versions as soon as they become available. In the absence of a patch, consider isolating image processing workloads in separate environments with strict memory quotas and restart policies to contain potential DoS effects. Reviewing application code for proper memory management and avoiding unnecessary image processing can also reduce exposure. Additionally, implementing robust logging and alerting on abnormal memory usage patterns will enable early detection of exploitation attempts. Network-level protections such as Web Application Firewalls (WAFs) can help block suspicious traffic targeting image processing endpoints. Finally, educating developers about secure usage of rmagick and ImageMagick can prevent inadvertent introduction of similar issues.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- redhat
- Date Reserved
- 2023-10-03T11:23:23.861Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 690a5558a730e5a3d9d7c225
Added to database: 11/4/2025, 7:34:48 PM
Last enriched: 11/4/2025, 7:51:47 PM
Last updated: 12/20/2025, 11:12:17 AM
Views: 53
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