CVE-2022-40151: CWE-121 Stack-based Buffer Overflow in xstream xstream
Those using Xstream to seralize XML data 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. This effect may support a denial of service attack.
AI Analysis
Technical Summary
CVE-2022-40151 is a stack-based buffer overflow vulnerability identified in the XStream library, a widely used Java tool for serializing and deserializing XML data. The vulnerability arises when XStream processes user-supplied XML input, which can be crafted maliciously to cause a stack overflow within the parser. This overflow leads to a crash of the parsing process, resulting in a denial of service (DoS) condition. The root cause is a failure to properly validate or limit the size and structure of the XML input before processing, allowing an attacker to overflow the stack buffer. Since XStream is often embedded in Java applications for XML serialization tasks, any application exposing XML parsing functionality to untrusted input is at risk. The vulnerability does not currently have known exploits in the wild, and no specific affected versions are detailed, but the risk exists wherever XStream is used to parse XML from potentially untrusted sources. The vulnerability is categorized under CWE-121 (Stack-based Buffer Overflow), indicating a classic memory corruption issue that can disrupt application availability. The lack of a patch link suggests that remediation may require updating to a fixed version once available or applying mitigations at the application level. This vulnerability primarily impacts the availability of affected systems by causing crashes, with no direct indication of confidentiality or integrity compromise. Exploitation requires supplying malicious XML input to the parser, which may be possible in scenarios where XML input is accepted from external or user-controlled sources without sufficient validation or sandboxing.
Potential Impact
For European organizations, the primary impact of CVE-2022-40151 is the potential for denial of service attacks against applications using XStream for XML parsing. This can lead to service outages, disruption of business processes, and potential reputational damage, especially for critical infrastructure or services relying on XML data interchange. Industries such as finance, telecommunications, manufacturing, and government services that utilize Java-based applications with XML serialization are particularly at risk. The vulnerability could be exploited to disrupt automated workflows, data exchange, or integration services that rely on XStream, causing operational downtime. While the vulnerability does not directly expose sensitive data or allow code execution, the availability impact can have cascading effects on business continuity and compliance with service-level agreements (SLAs). European organizations with public-facing APIs or services that accept XML input without strict validation are more vulnerable. Additionally, organizations subject to regulatory requirements for uptime and incident response (e.g., GDPR, NIS Directive) may face compliance challenges if exploited.
Mitigation Recommendations
To mitigate CVE-2022-40151, European organizations should: 1) Identify all applications and services using the XStream library for XML serialization and deserialization. 2) Restrict or sanitize all XML inputs from untrusted or external sources to prevent malicious payloads from reaching the parser. Implement strict XML schema validation and limit the size and complexity of XML documents accepted. 3) Employ application-level input validation and consider using XML parsing libraries with built-in protections against buffer overflows or sandboxing capabilities. 4) Monitor application logs and system behavior for crashes or abnormal terminations related to XML parsing. 5) Isolate XML parsing components in separate processes or containers to limit the impact of crashes on the overall system. 6) Stay informed about updates from the XStream project and apply patches or upgrade to fixed versions promptly once available. 7) Implement rate limiting and anomaly detection on interfaces accepting XML input to reduce the risk of DoS attempts. 8) Conduct security testing, including fuzzing of XML inputs, to identify and remediate similar vulnerabilities proactively.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden, Belgium, Austria
CVE-2022-40151: CWE-121 Stack-based Buffer Overflow in xstream xstream
Description
Those using Xstream to seralize XML data 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. This effect may support a denial of service attack.
AI-Powered Analysis
Technical Analysis
CVE-2022-40151 is a stack-based buffer overflow vulnerability identified in the XStream library, a widely used Java tool for serializing and deserializing XML data. The vulnerability arises when XStream processes user-supplied XML input, which can be crafted maliciously to cause a stack overflow within the parser. This overflow leads to a crash of the parsing process, resulting in a denial of service (DoS) condition. The root cause is a failure to properly validate or limit the size and structure of the XML input before processing, allowing an attacker to overflow the stack buffer. Since XStream is often embedded in Java applications for XML serialization tasks, any application exposing XML parsing functionality to untrusted input is at risk. The vulnerability does not currently have known exploits in the wild, and no specific affected versions are detailed, but the risk exists wherever XStream is used to parse XML from potentially untrusted sources. The vulnerability is categorized under CWE-121 (Stack-based Buffer Overflow), indicating a classic memory corruption issue that can disrupt application availability. The lack of a patch link suggests that remediation may require updating to a fixed version once available or applying mitigations at the application level. This vulnerability primarily impacts the availability of affected systems by causing crashes, with no direct indication of confidentiality or integrity compromise. Exploitation requires supplying malicious XML input to the parser, which may be possible in scenarios where XML input is accepted from external or user-controlled sources without sufficient validation or sandboxing.
Potential Impact
For European organizations, the primary impact of CVE-2022-40151 is the potential for denial of service attacks against applications using XStream for XML parsing. This can lead to service outages, disruption of business processes, and potential reputational damage, especially for critical infrastructure or services relying on XML data interchange. Industries such as finance, telecommunications, manufacturing, and government services that utilize Java-based applications with XML serialization are particularly at risk. The vulnerability could be exploited to disrupt automated workflows, data exchange, or integration services that rely on XStream, causing operational downtime. While the vulnerability does not directly expose sensitive data or allow code execution, the availability impact can have cascading effects on business continuity and compliance with service-level agreements (SLAs). European organizations with public-facing APIs or services that accept XML input without strict validation are more vulnerable. Additionally, organizations subject to regulatory requirements for uptime and incident response (e.g., GDPR, NIS Directive) may face compliance challenges if exploited.
Mitigation Recommendations
To mitigate CVE-2022-40151, European organizations should: 1) Identify all applications and services using the XStream library for XML serialization and deserialization. 2) Restrict or sanitize all XML inputs from untrusted or external sources to prevent malicious payloads from reaching the parser. Implement strict XML schema validation and limit the size and complexity of XML documents accepted. 3) Employ application-level input validation and consider using XML parsing libraries with built-in protections against buffer overflows or sandboxing capabilities. 4) Monitor application logs and system behavior for crashes or abnormal terminations related to XML parsing. 5) Isolate XML parsing components in separate processes or containers to limit the impact of crashes on the overall system. 6) Stay informed about updates from the XStream project and apply patches or upgrade to fixed versions promptly once available. 7) Implement rate limiting and anomaly detection on interfaces accepting XML input to reduce the risk of DoS attempts. 8) Conduct security testing, including fuzzing of XML inputs, to identify and remediate similar vulnerabilities proactively.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- Date Reserved
- 2022-09-07T00:00:00.000Z
- Cisa Enriched
- true
Threat ID: 682d984bc4522896dcbf8170
Added to database: 5/21/2025, 9:09:31 AM
Last enriched: 6/20/2025, 12:04:04 PM
Last updated: 8/1/2025, 10:37:45 PM
Views: 15
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