CVE-2022-38751: CWE-121 Stack-based Buffer Overflow in snakeyaml SnakeYAML
Using snakeYAML to parse untrusted YAML files may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by stackoverflow.
AI Analysis
Technical Summary
CVE-2022-38751 is a stack-based buffer overflow vulnerability identified in SnakeYAML, a popular Java library used for parsing YAML files. The vulnerability arises when SnakeYAML processes untrusted YAML input, potentially leading to a Denial of Service (DoS) condition. Specifically, an attacker can craft malicious YAML content that triggers a stack overflow during parsing, causing the parser to crash. This vulnerability is categorized under CWE-121, which refers to stack-based buffer overflows, a common and dangerous class of memory corruption issues. The vulnerability affects unspecified versions of SnakeYAML, indicating that multiple versions may be vulnerable if they do not include appropriate mitigations. The lack of a patch link suggests that either a fix was not available at the time of reporting or that users need to upgrade to a fixed version once released. The vulnerability does not require authentication or user interaction beyond supplying the malicious YAML input to the parser. There are no known exploits in the wild as of the published date, but the potential for DoS attacks exists wherever SnakeYAML is used to parse untrusted or user-supplied YAML data. Since SnakeYAML is widely used in Java applications for configuration and data serialization, this vulnerability could impact a broad range of software systems that rely on it for YAML processing.
Potential Impact
For European organizations, the primary impact of CVE-2022-38751 is the risk of Denial of Service attacks against applications that use SnakeYAML to parse untrusted YAML input. This could lead to application crashes, service interruptions, and potential downtime, affecting business continuity and user experience. Organizations in sectors such as finance, healthcare, telecommunications, and government that rely on Java-based applications with YAML configurations or data interchange are particularly at risk. The vulnerability does not directly lead to data breaches or code execution but can be exploited to disrupt services, which may have cascading effects on operational processes. Additionally, if the affected applications are part of critical infrastructure or provide essential services, the DoS impact could have broader societal implications. The lack of known exploits reduces immediate risk, but the ease of triggering a stack overflow through crafted input means attackers with access to input channels could exploit this vulnerability. European organizations with public-facing applications or internal tools that accept YAML input should be vigilant, as exploitation could be used as part of multi-vector attacks or to degrade system reliability.
Mitigation Recommendations
To mitigate CVE-2022-38751, European organizations should first identify all applications and services that use SnakeYAML for YAML parsing, especially those processing untrusted or user-supplied input. Since no specific patch link is provided, organizations should monitor the official SnakeYAML repository and vendor advisories for updates or fixed versions and plan timely upgrades once available. In the interim, implement input validation and sanitization to restrict or reject suspicious YAML content that could trigger stack overflows. Employ runtime protections such as limiting the size and complexity of YAML inputs, setting parser timeouts, and using sandboxing or containerization to isolate parsing processes and minimize impact from crashes. Additionally, consider using alternative YAML parsers with better security track records or built-in mitigations against stack overflows if upgrading SnakeYAML is not immediately feasible. Incorporate monitoring and alerting for application crashes or abnormal parser behavior to detect potential exploitation attempts. Finally, review and strengthen overall application security posture, including restricting access to input channels and applying network-level protections to reduce exposure.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden, Belgium, Finland
CVE-2022-38751: CWE-121 Stack-based Buffer Overflow in snakeyaml SnakeYAML
Description
Using snakeYAML to parse untrusted YAML files may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by stackoverflow.
AI-Powered Analysis
Technical Analysis
CVE-2022-38751 is a stack-based buffer overflow vulnerability identified in SnakeYAML, a popular Java library used for parsing YAML files. The vulnerability arises when SnakeYAML processes untrusted YAML input, potentially leading to a Denial of Service (DoS) condition. Specifically, an attacker can craft malicious YAML content that triggers a stack overflow during parsing, causing the parser to crash. This vulnerability is categorized under CWE-121, which refers to stack-based buffer overflows, a common and dangerous class of memory corruption issues. The vulnerability affects unspecified versions of SnakeYAML, indicating that multiple versions may be vulnerable if they do not include appropriate mitigations. The lack of a patch link suggests that either a fix was not available at the time of reporting or that users need to upgrade to a fixed version once released. The vulnerability does not require authentication or user interaction beyond supplying the malicious YAML input to the parser. There are no known exploits in the wild as of the published date, but the potential for DoS attacks exists wherever SnakeYAML is used to parse untrusted or user-supplied YAML data. Since SnakeYAML is widely used in Java applications for configuration and data serialization, this vulnerability could impact a broad range of software systems that rely on it for YAML processing.
Potential Impact
For European organizations, the primary impact of CVE-2022-38751 is the risk of Denial of Service attacks against applications that use SnakeYAML to parse untrusted YAML input. This could lead to application crashes, service interruptions, and potential downtime, affecting business continuity and user experience. Organizations in sectors such as finance, healthcare, telecommunications, and government that rely on Java-based applications with YAML configurations or data interchange are particularly at risk. The vulnerability does not directly lead to data breaches or code execution but can be exploited to disrupt services, which may have cascading effects on operational processes. Additionally, if the affected applications are part of critical infrastructure or provide essential services, the DoS impact could have broader societal implications. The lack of known exploits reduces immediate risk, but the ease of triggering a stack overflow through crafted input means attackers with access to input channels could exploit this vulnerability. European organizations with public-facing applications or internal tools that accept YAML input should be vigilant, as exploitation could be used as part of multi-vector attacks or to degrade system reliability.
Mitigation Recommendations
To mitigate CVE-2022-38751, European organizations should first identify all applications and services that use SnakeYAML for YAML parsing, especially those processing untrusted or user-supplied input. Since no specific patch link is provided, organizations should monitor the official SnakeYAML repository and vendor advisories for updates or fixed versions and plan timely upgrades once available. In the interim, implement input validation and sanitization to restrict or reject suspicious YAML content that could trigger stack overflows. Employ runtime protections such as limiting the size and complexity of YAML inputs, setting parser timeouts, and using sandboxing or containerization to isolate parsing processes and minimize impact from crashes. Additionally, consider using alternative YAML parsers with better security track records or built-in mitigations against stack overflows if upgrading SnakeYAML is not immediately feasible. Incorporate monitoring and alerting for application crashes or abnormal parser behavior to detect potential exploitation attempts. Finally, review and strengthen overall application security posture, including restricting access to input channels and applying network-level protections to reduce exposure.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- Date Reserved
- 2022-08-25T00:00:00.000Z
- Cisa Enriched
- true
Threat ID: 682d984bc4522896dcbf810b
Added to database: 5/21/2025, 9:09:31 AM
Last enriched: 6/20/2025, 12:19:32 PM
Last updated: 2/8/2026, 12:58:37 AM
Views: 50
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