CVE-2024-53901: n/a
CVE-2024-53901 is a medium severity heap-based buffer overflow vulnerability in the Perl Imager package before version 1. 025. It occurs when the trim() method processes crafted input images, potentially causing a denial of service. The vulnerability does not require privileges but does require user interaction to trigger. No known exploits are currently reported in the wild. The impact is limited to availability disruption, with no direct confidentiality or integrity compromise indicated. Organizations using the affected Perl Imager versions in image processing workflows are at risk. Mitigation involves updating to version 1. 025 or later once available and applying strict input validation. Countries with significant Perl usage in software development and image processing, such as the United States, Germany, Japan, and India, are more likely to be affected.
AI Analysis
Technical Summary
CVE-2024-53901 identifies a heap-based buffer overflow vulnerability in the Perl Imager package versions prior to 1.025. The flaw is triggered when the trim() method is called with specially crafted input images, causing the program to write beyond allocated heap memory boundaries. This can lead to a denial of service (DoS) by crashing the application or potentially other unspecified impacts, although no evidence currently suggests remote code execution or privilege escalation. The vulnerability is classified under CWE-120 (Classic Buffer Overflow). The CVSS 3.1 base score is 5.5, reflecting a medium severity with an attack vector of local (AV:L), low attack complexity (AC:L), no privileges required (PR:N), and requiring user interaction (UI:R). The scope is unchanged (S:U), and the impact affects availability only (A:H), with no impact on confidentiality or integrity. No patches or exploits are currently publicly available, but the issue is documented and published as of November 24, 2024. This vulnerability primarily affects environments where the Perl Imager package is used for image manipulation, especially where the trim() method is invoked on untrusted or user-supplied images.
Potential Impact
The primary impact of CVE-2024-53901 is denial of service, which can disrupt image processing workflows in applications relying on the Perl Imager package. This may cause application crashes or service interruptions, potentially affecting automated image handling pipelines, web services, or software tools that incorporate this library. Since the vulnerability requires local access and user interaction, remote exploitation is less likely without additional attack vectors. The absence of confidentiality or integrity impact reduces the risk of data breaches or unauthorized data modification. However, in environments where image processing is critical, such as media companies, software development firms, or automated content delivery systems, service availability interruptions could lead to operational delays and increased support costs. The lack of known exploits in the wild currently limits immediate risk but does not preclude future exploitation attempts.
Mitigation Recommendations
To mitigate CVE-2024-53901, organizations should: 1) Monitor for the release of Perl Imager version 1.025 or later that addresses this vulnerability and apply the update promptly. 2) Implement strict input validation and sanitization on all images processed by the trim() method to prevent malformed or malicious inputs. 3) Restrict access to systems and applications using the Perl Imager package to trusted users to reduce the risk of local exploitation. 4) Employ runtime protections such as heap overflow detection tools or memory safety mechanisms where feasible. 5) Conduct code reviews and testing focused on image processing functions to identify similar vulnerabilities. 6) Educate developers and system administrators about the risks of processing untrusted image data and encourage secure coding practices. 7) If immediate patching is not possible, consider isolating or sandboxing the image processing components to limit the impact of potential crashes.
Affected Countries
United States, Germany, Japan, India, United Kingdom, Canada, France, Australia, Netherlands, South Korea
CVE-2024-53901: n/a
Description
CVE-2024-53901 is a medium severity heap-based buffer overflow vulnerability in the Perl Imager package before version 1. 025. It occurs when the trim() method processes crafted input images, potentially causing a denial of service. The vulnerability does not require privileges but does require user interaction to trigger. No known exploits are currently reported in the wild. The impact is limited to availability disruption, with no direct confidentiality or integrity compromise indicated. Organizations using the affected Perl Imager versions in image processing workflows are at risk. Mitigation involves updating to version 1. 025 or later once available and applying strict input validation. Countries with significant Perl usage in software development and image processing, such as the United States, Germany, Japan, and India, are more likely to be affected.
AI-Powered Analysis
Technical Analysis
CVE-2024-53901 identifies a heap-based buffer overflow vulnerability in the Perl Imager package versions prior to 1.025. The flaw is triggered when the trim() method is called with specially crafted input images, causing the program to write beyond allocated heap memory boundaries. This can lead to a denial of service (DoS) by crashing the application or potentially other unspecified impacts, although no evidence currently suggests remote code execution or privilege escalation. The vulnerability is classified under CWE-120 (Classic Buffer Overflow). The CVSS 3.1 base score is 5.5, reflecting a medium severity with an attack vector of local (AV:L), low attack complexity (AC:L), no privileges required (PR:N), and requiring user interaction (UI:R). The scope is unchanged (S:U), and the impact affects availability only (A:H), with no impact on confidentiality or integrity. No patches or exploits are currently publicly available, but the issue is documented and published as of November 24, 2024. This vulnerability primarily affects environments where the Perl Imager package is used for image manipulation, especially where the trim() method is invoked on untrusted or user-supplied images.
Potential Impact
The primary impact of CVE-2024-53901 is denial of service, which can disrupt image processing workflows in applications relying on the Perl Imager package. This may cause application crashes or service interruptions, potentially affecting automated image handling pipelines, web services, or software tools that incorporate this library. Since the vulnerability requires local access and user interaction, remote exploitation is less likely without additional attack vectors. The absence of confidentiality or integrity impact reduces the risk of data breaches or unauthorized data modification. However, in environments where image processing is critical, such as media companies, software development firms, or automated content delivery systems, service availability interruptions could lead to operational delays and increased support costs. The lack of known exploits in the wild currently limits immediate risk but does not preclude future exploitation attempts.
Mitigation Recommendations
To mitigate CVE-2024-53901, organizations should: 1) Monitor for the release of Perl Imager version 1.025 or later that addresses this vulnerability and apply the update promptly. 2) Implement strict input validation and sanitization on all images processed by the trim() method to prevent malformed or malicious inputs. 3) Restrict access to systems and applications using the Perl Imager package to trusted users to reduce the risk of local exploitation. 4) Employ runtime protections such as heap overflow detection tools or memory safety mechanisms where feasible. 5) Conduct code reviews and testing focused on image processing functions to identify similar vulnerabilities. 6) Educate developers and system administrators about the risks of processing untrusted image data and encourage secure coding practices. 7) If immediate patching is not possible, consider isolating or sandboxing the image processing components to limit the impact of potential crashes.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-11-24T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6bc2b7ef31ef0b55aaf4
Added to database: 2/25/2026, 9:38:10 PM
Last enriched: 2/26/2026, 1:48:04 AM
Last updated: 2/26/2026, 11:07:50 AM
Views: 1
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