CVE-2025-46059
CVE-2025-46059
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
langchain-ai v0.3.51 was discovered to contain an indirect prompt injection vulnerability in the GmailToolkit component. This vulnerability allows attackers to execute arbitrary code and compromise the application via a crafted email message. NOTE: this is disputed by the Supplier because the code-execution issue was introduced by user-written code that does not adhere to the LangChain security practices.
Comprehensive Technical Analysis of CVE-2025-46059
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-46059 CVSS Score: 9.8
The vulnerability in question, CVE-2025-46059, is an indirect prompt injection vulnerability in the GmailToolkit component of langchain-ai v0.3.51. This vulnerability allows attackers to execute arbitrary code and compromise the application via a crafted email message. The CVSS score of 9.8 indicates a critical severity level, highlighting the potential for significant impact if exploited.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Email-Based Attacks: Attackers can craft malicious email messages designed to exploit the vulnerability in the GmailToolkit component.
- Phishing Campaigns: Integration with phishing campaigns to deliver the crafted email messages to a broad audience.
- Targeted Attacks: Specifically targeting organizations or individuals known to use langchain-ai v0.3.51.
Exploitation Methods:
- Crafted Email Messages: The attacker sends an email with specially crafted content that triggers the prompt injection vulnerability.
- Code Execution: Once the vulnerability is triggered, the attacker can execute arbitrary code within the context of the langchain-ai application.
- Data Exfiltration: The executed code can be used to exfiltrate sensitive data, install malware, or perform other malicious activities.
3. Affected Systems and Software Versions
Affected Software:
- langchain-ai v0.3.51
Affected Components:
- GmailToolkit component within langchain-ai
Systems at Risk:
- Any system running langchain-ai v0.3.51 with the GmailToolkit component enabled.
- Organizations and individuals using langchain-ai for email processing and automation.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Upgrade to a patched version of langchain-ai that addresses the vulnerability.
- Disable GmailToolkit: Temporarily disable the GmailToolkit component until a patch is available.
- Email Filtering: Implement robust email filtering and spam detection mechanisms to block crafted email messages.
Long-Term Strategies:
- Regular Updates: Ensure that all software components are regularly updated to the latest versions.
- Security Training: Conduct regular security training for employees to recognize and avoid phishing attempts.
- Intrusion Detection: Deploy intrusion detection systems (IDS) to monitor for suspicious activities and potential exploitation attempts.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Data Breaches: Potential for significant data breaches and unauthorized access to sensitive information.
- Operational Disruption: Compromise of critical systems leading to operational disruptions and financial losses.
Long-Term Impact:
- Reputation Damage: Organizations affected by this vulnerability may suffer reputational damage.
- Increased Awareness: Heightened awareness of the importance of securing email processing components and the need for robust security measures.
6. Technical Details for Security Professionals
Vulnerability Details:
- Indirect Prompt Injection: The vulnerability arises from the way the GmailToolkit component processes email content, allowing for the injection of malicious code.
- Code Execution: The injected code can be executed within the context of the langchain-ai application, leading to a full compromise of the system.
Detection and Response:
- Log Analysis: Monitor logs for unusual activities related to email processing and code execution.
- Behavioral Analysis: Use behavioral analysis tools to detect anomalous behavior indicative of exploitation.
- Incident Response: Have an incident response plan in place to quickly address and mitigate any detected exploitation attempts.
References:
Conclusion
CVE-2025-46059 represents a critical vulnerability in langchain-ai v0.3.51 that can be exploited via crafted email messages. Organizations using this software should prioritize patching and implementing robust security measures to mitigate the risk. The cybersecurity landscape will likely see increased focus on securing email processing components and enhancing overall security posture in response to this vulnerability.