Description
A vulnerability in the RpcAgentServerLauncher class of modelscope/agentscope v0.0.6a3 allows for remote code execution (RCE) via deserialization of untrusted data using the dill library. The issue occurs in the AgentServerServicer.create_agent method, where serialized input is deserialized using dill.loads, enabling an attacker to execute arbitrary commands on the server.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-6906
1. Vulnerability Assessment and Severity Evaluation
The vulnerability EUVD-2025-6906, also known as CVE-2024-8502, is a critical remote code execution (RCE) flaw in the RpcAgentServerLauncher class of modelscope/agentscope v0.0.6a3. The issue arises from the deserialization of untrusted data using the dill library, specifically in the AgentServerServicer.create_agent method. This vulnerability allows an attacker to execute arbitrary commands on the server, leading to severe security implications.
Severity Evaluation:
- Base Score: 9.8 (Critical)
- Base Score Version: CVSS 3.0
- Base Score Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
The CVSS score of 9.8 indicates a critical vulnerability due to its high impact on confidentiality, integrity, and availability, combined with low attack complexity and no requirement for user interaction or privileges.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attack: An attacker can exploit this vulnerability over the network without requiring physical access to the system.
- Deserialization Attack: The attacker can send specially crafted serialized data to the
create_agentmethod, which will be deserialized usingdill.loads, leading to arbitrary code execution.
Exploitation Methods:
- Crafting Malicious Input: An attacker can create a serialized payload that, when deserialized, executes malicious code.
- Remote Command Execution: The attacker can execute commands on the server, potentially leading to data exfiltration, system compromise, or further lateral movement within the network.
3. Affected Systems and Software Versions
Affected Software:
- modelscope/agentscope v0.0.6a3
Affected Systems:
- Any system running the vulnerable version of modelscope/agentscope, particularly those with the
RpcAgentServerLauncherclass exposed to untrusted networks.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Upgrade to a patched version of modelscope/agentscope that addresses this vulnerability.
- Network Segmentation: Isolate systems running the vulnerable software from untrusted networks.
- Input Validation: Implement strict input validation and sanitization to prevent the deserialization of untrusted data.
Long-Term Strategies:
- Code Review: Conduct a thorough code review to identify and mitigate similar deserialization vulnerabilities.
- Security Training: Educate developers on secure coding practices, particularly around deserialization and the use of libraries like
dill. - Regular Updates: Ensure that all software dependencies are regularly updated to their latest versions.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to organizations within the European Union that rely on modelscope/agentscope for their operations. The potential for remote code execution can lead to data breaches, financial loss, and disruption of critical services. Given the critical nature of the vulnerability, it is essential for organizations to prioritize patching and mitigation efforts to protect against potential attacks.
6. Technical Details for Security Professionals
Vulnerability Details:
- Class: RpcAgentServerLauncher
- Method: AgentServerServicer.create_agent
- Library: dill
- Function: dill.loads
Exploitation Steps:
- Craft Serialized Payload: Create a serialized payload that includes malicious code.
- Send Payload: Transmit the payload to the
create_agentmethod. - Deserialization: The
dill.loadsfunction deserializes the payload, executing the embedded malicious code.
Detection and Monitoring:
- Log Analysis: Monitor logs for unusual deserialization activities or unexpected command executions.
- Intrusion Detection Systems (IDS): Implement IDS rules to detect and alert on suspicious network traffic targeting the
create_agentmethod. - Behavioral Analysis: Use behavioral analysis tools to identify anomalous behavior indicative of a deserialization attack.
Conclusion: EUVD-2025-6906 is a critical vulnerability that requires immediate attention from cybersecurity professionals. Organizations should prioritize patching affected systems, implementing robust mitigation strategies, and enhancing their security posture to protect against similar threats in the future.