CVE-2024-10252 is a critical vulnerability identified in the langgenius/dify product, specifically affecting versions up to 0.9.1. The root cause is improper control of code generation (CWE-94), which manifests as a code injection vulnerability via internal Server-Side Request Forgery (SSRF) requests within the Dify sandbox service. This sandbox is designed to execute Python code in an isolated environment; however, due to insufficient validation and control over the code generation process, an attacker can craft SSRF requests that inject arbitrary Python code. The injected code executes with root privileges inside the sandbox, which significantly escalates the potential damage. The attacker can delete the entire sandbox service, leading to irreversible damage and service disruption. The CVSS 3.0 score of 8.8 reflects the high impact on confidentiality, integrity, and availability, combined with low attack complexity and no requirement for user interaction. Although exploitation requires some level of privileges (PR:L), the vulnerability is remotely exploitable (AV:N), increasing the attack surface. No patches or exploit code are currently publicly available, but the risk remains high due to the severity and ease of exploitation once an attacker gains access. The vulnerability highlights the dangers of inadequate input validation and sandbox isolation in environments executing dynamic code.

For European organizations, the impact of CVE-2024-10252 is significant, especially for those leveraging langgenius/dify in AI development, automation, or sandboxed code execution environments. Successful exploitation can lead to full compromise of the sandbox environment, allowing attackers to execute arbitrary code with root privileges, potentially leading to data breaches, destruction of critical services, and operational downtime. The deletion of the sandbox service could disrupt development pipelines, AI model training, or any dependent services, causing financial loss and reputational damage. Organizations in sectors such as finance, healthcare, and critical infrastructure that rely on AI or sandboxed code execution are particularly vulnerable. The high severity and root-level code execution elevate the risk of lateral movement within networks, further endangering sensitive European data and systems. Additionally, the lack of known exploits in the wild does not diminish the urgency, as attackers may develop exploits rapidly once the vulnerability is publicly disclosed.

To mitigate CVE-2024-10252, European organizations should: 1) Immediately upgrade langgenius/dify to a patched version once available; in the absence of patches, consider disabling or isolating the Dify sandbox service. 2) Implement strict network segmentation and firewall rules to prevent unauthorized internal SSRF requests, limiting the sandbox’s ability to make outbound or internal network calls. 3) Harden the sandbox environment by enforcing least privilege principles, ensuring the sandbox runs with minimal permissions and cannot escalate to root. 4) Employ runtime application self-protection (RASP) or intrusion detection systems to monitor and block suspicious SSRF or code injection attempts. 5) Conduct thorough code reviews and penetration testing focused on SSRF and code injection vectors within the sandbox. 6) Monitor logs for unusual activity related to the sandbox service, such as unexpected Python code execution or deletion attempts. 7) Educate developers and security teams about the risks of improper code generation and sandbox escape techniques to prevent similar vulnerabilities in future development.