CVE-2025-68664
CVE-2025-68664
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- Low
- Availability
- None
Description
LangChain is a framework for building agents and LLM-powered applications. Prior to versions 0.3.81 and 1.2.5, a serialization injection vulnerability exists in LangChain's dumps() and dumpd() functions. The functions do not escape dictionaries with 'lc' keys when serializing free-form dictionaries. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in versions 0.3.81 and 1.2.5.
Comprehensive Technical Analysis of CVE-2025-68664
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-68664
Description: LangChain, a framework for building agents and LLM-powered applications, contains a serialization injection vulnerability in its dumps() and dumpd() functions prior to versions 0.3.81 and 1.2.5. The vulnerability arises because these functions do not properly escape dictionaries with 'lc' keys when serializing free-form dictionaries. The 'lc' key is used internally by LangChain to mark serialized objects, leading to user-controlled data being treated as legitimate LangChain objects during deserialization.
CVSS Score: 9.3
Severity Evaluation:
- Critical: The high CVSS score of 9.3 indicates a critical vulnerability. This score reflects the potential for significant impact, including unauthorized access, data manipulation, and potential execution of arbitrary code.
- Impact Metrics: The vulnerability can lead to loss of data integrity, confidentiality, and availability, making it a high-priority issue for immediate patching.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Serialization Injection: An attacker can craft malicious input data containing the 'lc' key structure. When this data is serialized and later deserialized, it can be interpreted as a legitimate LangChain object, leading to unintended behavior.
- Data Manipulation: Attackers can manipulate serialized data to inject malicious payloads, potentially leading to code execution or data corruption.
Exploitation Methods:
- Crafted Input: An attacker can submit specially crafted input to the
dumps()ordumpd()functions, ensuring the input contains the 'lc' key. - Deserialization Attack: During deserialization, the malicious input is interpreted as a legitimate LangChain object, allowing the attacker to manipulate the application's behavior.
3. Affected Systems and Software Versions
Affected Versions:
- LangChain versions prior to 0.3.81
- LangChain versions prior to 1.2.5
Affected Systems:
- Any system or application that uses LangChain for building agents or LLM-powered applications and relies on the
dumps()anddumpd()functions for serialization and deserialization.
4. Recommended Mitigation Strategies
Immediate Actions:
- Upgrade: Upgrade to LangChain versions 0.3.81 or 1.2.5, which contain the patch for this vulnerability.
- Input Validation: Implement strict input validation to ensure that user-controlled data does not contain the 'lc' key structure.
- Serialization Libraries: Consider using alternative serialization libraries that provide robust security features.
Long-Term Strategies:
- Code Review: Conduct thorough code reviews to identify and mitigate similar vulnerabilities in other parts of the codebase.
- Security Training: Provide security training for developers to understand the risks associated with serialization and deserialization.
- Regular Updates: Ensure that all dependencies and libraries are regularly updated to the latest versions to benefit from security patches.
5. Impact on Cybersecurity Landscape
Broader Implications:
- Supply Chain Security: This vulnerability highlights the importance of securing third-party libraries and frameworks, as they can introduce critical vulnerabilities into the software supply chain.
- Serialization Risks: It underscores the risks associated with serialization and deserialization processes, which are common attack vectors for injection and code execution attacks.
- AI and LLM Security: As AI and LLM-powered applications become more prevalent, ensuring the security of underlying frameworks is crucial to prevent exploitation.
6. Technical Details for Security Professionals
Vulnerability Details:
- Root Cause: The
dumps()anddumpd()functions in LangChain do not properly escape dictionaries with 'lc' keys, leading to serialization injection. - Exploitation: During deserialization, the 'lc' key is interpreted as a legitimate LangChain object, allowing attackers to manipulate the application's behavior.
Patch Analysis:
- Fix: The patch ensures that dictionaries with 'lc' keys are properly escaped during serialization, preventing them from being interpreted as LangChain objects during deserialization.
- Implementation: The fix involves modifying the serialization logic to handle the 'lc' key appropriately, ensuring that user-controlled data is treated as plain data.
References:
- GitHub Commit 1
- GitHub Commit 2
- GitHub Pull Request 1
- GitHub Pull Request 2
- Release 0.3.81
- Release 1.2.5
- Security Advisory
Conclusion: CVE-2025-68664 is a critical vulnerability that underscores the importance of secure serialization and deserialization processes. Immediate patching and adopting robust security practices are essential to mitigate the risks associated with this vulnerability.