EUVD-2025-175361

Comprehensive Technical Analysis of EUVD-2025-175361

1. Vulnerability Assessment and Severity Evaluation

The vulnerability EUVD-2025-175361, also known as CVE-2025-64709, is a Server-Side Request Forgery (SSRF) issue affecting Typebot, an open-source chatbot builder. The vulnerability is present in versions prior to 3.13.1 and allows authenticated users to make arbitrary HTTP requests from the server. This can lead to unauthorized access to the AWS Instance Metadata Service (IMDS), potentially bypassing IMDSv2 protections through custom header injection. The severity of this vulnerability is rated at a base score of 9.6 according to CVSS 3.1, indicating a critical risk.

CVSS 3.1 Vector Breakdown:

• AV:N - Attack Vector: Network
• AC:L - Attack Complexity: Low
• PR:L - Privileges Required: Low
• UI:N - User Interaction: None
• S:C - Scope: Changed
• C:H - Confidentiality: High
• I:H - Integrity: High
• A:N - Availability: None

The high confidentiality and integrity impact, combined with the low complexity and low privileges required, make this vulnerability particularly dangerous.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

1. Authenticated User Access: An attacker with valid credentials can exploit the SSRF vulnerability.
2. HTTP Request Component: The webhook block functionality in Typebot allows for arbitrary HTTP requests.
3. AWS IMDS Access: By crafting specific HTTP requests, an attacker can access the AWS IMDS and extract temporary IAM credentials.

Exploitation Methods:

1. Custom Header Injection: Attackers can inject custom headers to bypass IMDSv2 protections.
2. Extracting IAM Credentials: Once access to IMDS is gained, attackers can retrieve temporary IAM credentials.
3. Cluster Compromise: Using the extracted credentials, attackers can gain control over the Kubernetes cluster and associated AWS infrastructure.

3. Affected Systems and Software Versions

Affected Software:

• Typebot versions prior to 3.13.1

Affected Systems:

• Any system running the vulnerable versions of Typebot, particularly those integrated with AWS and Kubernetes.

4. Recommended Mitigation Strategies

1. Upgrade to the Latest Version: Immediately upgrade to Typebot version 3.13.1 or later, which includes the fix for this vulnerability.
2. Network Segmentation: Implement strict network segmentation to limit access to critical services like AWS IMDS.
3. Access Controls: Enforce strict access controls and monitor authenticated user activities.
4. Monitoring and Logging: Enable comprehensive logging and monitoring to detect and respond to suspicious activities.
5. AWS IMDSv2: Ensure that IMDSv2 is properly configured and that all instances are using it to mitigate unauthorized access.

5. Impact on European Cybersecurity Landscape

The vulnerability poses a significant risk to organizations using Typebot, particularly those with AWS and Kubernetes deployments. The potential for complete compromise of the Kubernetes cluster and associated AWS infrastructure can lead to data breaches, service disruptions, and financial losses. This underscores the importance of timely patching and robust security practices in the European cybersecurity landscape.

6. Technical Details for Security Professionals

Vulnerability Details:

• Type: Server-Side Request Forgery (SSRF)
• Component: Typebot webhook block (HTTP Request component)
• Impact: Unauthorized access to AWS IMDS, extraction of IAM credentials, potential compromise of Kubernetes cluster

Detection and Response:

1. Intrusion Detection Systems (IDS): Deploy IDS to detect unusual HTTP request patterns.
2. Log Analysis: Regularly analyze logs for any unauthorized access attempts to AWS IMDS.
3. Incident Response Plan: Develop and maintain an incident response plan tailored to SSRF vulnerabilities.

References:

• GitHub Security Advisory

Conclusion:

The SSRF vulnerability in Typebot versions prior to 3.13.1 is critical and requires immediate attention. Organizations should prioritize upgrading to the patched version and implement additional security measures to mitigate the risk. The potential impact on AWS and Kubernetes environments highlights the need for vigilant monitoring and robust security practices.

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This analysis provides a comprehensive overview for cybersecurity professionals to understand the severity, potential exploitation methods, and necessary mitigation strategies for the vulnerability EUVD-2025-175361.