CVE-2025-64320 identifies a security vulnerability in the Salesforce Agentforce Vibes Extension versions before 3.2.0, categorized under CWE-1427, which pertains to improper neutralization of input used for LLM prompting. The vulnerability arises because the extension fails to adequately sanitize or neutralize user inputs that are incorporated into prompts sent to a large language model (LLM) component. This improper input handling enables an attacker to craft malicious inputs that can inject arbitrary code or commands into the LLM prompt context. Since the extension integrates AI-driven features into Salesforce workflows, this code injection could lead to unauthorized execution of commands, data leakage, or manipulation of business logic. The vulnerability does not currently have a CVSS score and no known exploits have been reported in the wild. However, the nature of the flaw—code injection via AI prompt manipulation—presents a novel and potentially impactful attack vector. The vulnerability affects all versions prior to 3.2.0, and no official patches or mitigations have been published at the time of disclosure. The issue was reserved and published in late 2025, indicating recent discovery. The lack of authentication requirements or user interaction details is not explicitly stated, but given the extension context, exploitation may be possible by authenticated users or through compromised input channels. The vulnerability impacts confidentiality, integrity, and availability by enabling attackers to execute arbitrary code within the extension environment, potentially leading to data breaches or service disruption.

For European organizations, the impact of CVE-2025-64320 can be significant due to the widespread use of Salesforce as a CRM platform and the increasing adoption of AI-driven extensions like Agentforce Vibes. Exploitation could lead to unauthorized access to sensitive customer data, manipulation of sales or service workflows, and disruption of business operations. The integration of AI components means that attackers might leverage the vulnerability to influence automated decision-making processes, potentially causing reputational damage or financial loss. Additionally, code injection could serve as a foothold for further lateral movement within corporate networks, increasing the risk of broader compromise. Industries with stringent data protection requirements, such as finance, healthcare, and telecommunications, are particularly vulnerable. The absence of known exploits provides a window for proactive defense, but the novelty of LLM-related injection attacks requires heightened awareness and specialized mitigation strategies. Failure to address this vulnerability could also lead to non-compliance with European data protection regulations like GDPR if personal data is exposed or mishandled.

To mitigate CVE-2025-64320, European organizations should prioritize upgrading the Salesforce Agentforce Vibes Extension to version 3.2.0 or later as soon as it becomes available, as this will likely include patches addressing the input neutralization flaw. In parallel, organizations should implement strict input validation and sanitization controls on all data fed into LLM prompts, ensuring that potentially malicious payloads are neutralized before processing. Security teams should audit AI integration points within Salesforce workflows to identify and remediate any unsafe input handling practices. Employing runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect anomalous input patterns targeting AI prompts can provide additional defense layers. Monitoring logs for unusual LLM prompt inputs or unexpected code execution attempts is critical for early detection. Training developers and administrators on secure AI prompt engineering and the risks of injection attacks in AI contexts will help prevent similar vulnerabilities. Finally, organizations should engage with Salesforce support and security advisories to stay informed about patches and best practices related to this vulnerability.