CVE-2023-44821: n/a
Gifsicle through 1.94, if deployed in a way that allows untrusted input to affect Gif_Realloc calls, might allow a denial of service (memory consumption). NOTE: this has been disputed by multiple parties because the Gifsicle code is not commonly used for unattended operation in which new input arrives for a long-running process, does not ship with functionality to link it into another application as a library, and does not have realistic use cases in which an adversary controls the entire command line.
AI Analysis
Technical Summary
CVE-2023-44821 identifies a vulnerability in Gifsicle, a command-line tool for creating, editing, and optimizing GIF images, up to version 1.94. The issue arises when untrusted input influences the Gif_Realloc function calls, potentially causing excessive memory consumption leading to a denial of service (DoS). This could theoretically allow an attacker to exhaust system memory by crafting malicious GIF inputs that trigger repeated or large memory reallocations. However, the vulnerability's practical impact is disputed by multiple parties because Gifsicle is not typically used as a long-running service that continuously processes untrusted input, nor is it designed to be embedded as a library in other applications. Its primary use case is as a standalone command-line utility, where the attacker would need control over the entire command line invocation, which is an uncommon threat model. No CVSS score has been assigned, and no patches or known exploits have been reported. The vulnerability highlights a potential risk in scenarios where Gifsicle is integrated into automated workflows or server-side image processing pipelines that accept untrusted GIF files. In such cases, an attacker could cause resource exhaustion, impacting availability. The lack of widespread unattended use and the requirement for command line control limit the exploitability and scope of this vulnerability.
Potential Impact
For European organizations, the impact of CVE-2023-44821 is generally low due to the limited use cases where Gifsicle processes untrusted input in unattended or automated environments. However, organizations involved in media processing, digital content creation, or software development that incorporate Gifsicle into automated pipelines could face denial of service conditions if malicious GIF files are processed. This could lead to temporary service disruptions or increased operational costs due to resource exhaustion. The confidentiality and integrity of data are not directly affected, as the vulnerability does not enable code execution or data manipulation. The availability impact is limited to potential memory exhaustion causing process crashes or system slowdowns. Given no known exploits exist and the attack vector requires control over the command line, the overall risk to European enterprises remains low but should not be ignored in relevant contexts.
Mitigation Recommendations
To mitigate CVE-2023-44821, European organizations should: 1) Avoid using Gifsicle in unattended or long-running processes that accept untrusted GIF inputs. 2) If automated processing is necessary, implement strict input validation and filtering to block potentially malicious GIF files before processing. 3) Monitor memory usage and resource consumption of processes invoking Gifsicle to detect abnormal spikes indicative of exploitation attempts. 4) Consider sandboxing or isolating Gifsicle executions to limit the impact of potential DoS conditions. 5) Explore alternative GIF processing tools with more robust security models if unattended or server-side processing is required. 6) Keep abreast of updates from Gifsicle maintainers for any patches or advisories related to this vulnerability. 7) Restrict user permissions and command line access to prevent unauthorized invocation of Gifsicle with crafted inputs.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden
CVE-2023-44821: n/a
Description
Gifsicle through 1.94, if deployed in a way that allows untrusted input to affect Gif_Realloc calls, might allow a denial of service (memory consumption). NOTE: this has been disputed by multiple parties because the Gifsicle code is not commonly used for unattended operation in which new input arrives for a long-running process, does not ship with functionality to link it into another application as a library, and does not have realistic use cases in which an adversary controls the entire command line.
AI-Powered Analysis
Technical Analysis
CVE-2023-44821 identifies a vulnerability in Gifsicle, a command-line tool for creating, editing, and optimizing GIF images, up to version 1.94. The issue arises when untrusted input influences the Gif_Realloc function calls, potentially causing excessive memory consumption leading to a denial of service (DoS). This could theoretically allow an attacker to exhaust system memory by crafting malicious GIF inputs that trigger repeated or large memory reallocations. However, the vulnerability's practical impact is disputed by multiple parties because Gifsicle is not typically used as a long-running service that continuously processes untrusted input, nor is it designed to be embedded as a library in other applications. Its primary use case is as a standalone command-line utility, where the attacker would need control over the entire command line invocation, which is an uncommon threat model. No CVSS score has been assigned, and no patches or known exploits have been reported. The vulnerability highlights a potential risk in scenarios where Gifsicle is integrated into automated workflows or server-side image processing pipelines that accept untrusted GIF files. In such cases, an attacker could cause resource exhaustion, impacting availability. The lack of widespread unattended use and the requirement for command line control limit the exploitability and scope of this vulnerability.
Potential Impact
For European organizations, the impact of CVE-2023-44821 is generally low due to the limited use cases where Gifsicle processes untrusted input in unattended or automated environments. However, organizations involved in media processing, digital content creation, or software development that incorporate Gifsicle into automated pipelines could face denial of service conditions if malicious GIF files are processed. This could lead to temporary service disruptions or increased operational costs due to resource exhaustion. The confidentiality and integrity of data are not directly affected, as the vulnerability does not enable code execution or data manipulation. The availability impact is limited to potential memory exhaustion causing process crashes or system slowdowns. Given no known exploits exist and the attack vector requires control over the command line, the overall risk to European enterprises remains low but should not be ignored in relevant contexts.
Mitigation Recommendations
To mitigate CVE-2023-44821, European organizations should: 1) Avoid using Gifsicle in unattended or long-running processes that accept untrusted GIF inputs. 2) If automated processing is necessary, implement strict input validation and filtering to block potentially malicious GIF files before processing. 3) Monitor memory usage and resource consumption of processes invoking Gifsicle to detect abnormal spikes indicative of exploitation attempts. 4) Consider sandboxing or isolating Gifsicle executions to limit the impact of potential DoS conditions. 5) Explore alternative GIF processing tools with more robust security models if unattended or server-side processing is required. 6) Keep abreast of updates from Gifsicle maintainers for any patches or advisories related to this vulnerability. 7) Restrict user permissions and command line access to prevent unauthorized invocation of Gifsicle with crafted inputs.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2023-10-02T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 690a43a36d939959c8fde85a
Added to database: 11/4/2025, 6:19:15 PM
Last enriched: 11/4/2025, 6:36:42 PM
Last updated: 11/6/2025, 10:25:09 AM
Views: 3
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