CVE-2025-64321: CWE-1427 Improper Neutralization of Input Used for LLM Prompting in Salesforce Agentforce Vibes Extension
Improper Neutralization of Input Used for LLM Prompting vulnerability in Salesforce Agentforce Vibes Extension allows Manipulating Writeable Configuration Files.This issue affects Agentforce Vibes Extension: before 3.3.0.
AI Analysis
Technical Summary
CVE-2025-64321 is a vulnerability identified in the Salesforce Agentforce Vibes Extension, specifically versions before 3.3.0. The root cause is improper neutralization of input used for prompting large language models (LLMs), categorized under CWE-1427. This weakness allows an attacker to inject malicious input that is not properly sanitized before being used in LLM prompts, leading to the manipulation of writable configuration files within the extension. Because configuration files often control the behavior and settings of the extension, unauthorized modifications can alter system operations, potentially enabling further attacks or disruption of services. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile. The CVSS v3.1 base score is 5.3 (medium severity), reflecting the lack of confidentiality or availability impact but acknowledging the integrity compromise. No patches or exploits are currently publicly available, but the vendor has reserved the CVE and published the vulnerability details, indicating that a fix may be forthcoming. The vulnerability is particularly relevant in environments where Salesforce Agentforce Vibes Extension is used to enhance customer engagement and service workflows, as corrupted configurations could degrade service quality or introduce security gaps.
Potential Impact
For European organizations, the impact primarily concerns the integrity of customer service and CRM workflows managed through the Salesforce Agentforce Vibes Extension. Manipulation of configuration files could lead to altered system behavior, potentially causing incorrect data processing, misrouting of customer interactions, or enabling secondary attacks through configuration abuse. While confidentiality and availability are not directly affected, the integrity compromise can undermine trust in service operations and lead to compliance issues, especially under GDPR where data processing accuracy is critical. Organizations heavily reliant on Salesforce for customer engagement, particularly in sectors like finance, healthcare, and telecommunications, may face operational disruptions or reputational damage if exploited. The remote, no-authentication nature of the vulnerability increases the risk of automated exploitation attempts, necessitating prompt mitigation. The absence of known exploits in the wild provides a window for proactive defense but should not lead to complacency.
Mitigation Recommendations
1. Upgrade the Salesforce Agentforce Vibes Extension to version 3.3.0 or later as soon as the patch is released by Salesforce. 2. Until patching is possible, restrict write permissions on configuration files associated with the extension to only trusted administrators and processes. 3. Implement strict input validation and sanitization controls on any user or external inputs that interact with LLM prompting mechanisms within the extension. 4. Monitor configuration files for unauthorized changes using file integrity monitoring tools and alert on suspicious modifications. 5. Employ network-level protections such as web application firewalls (WAFs) to detect and block anomalous requests targeting the extension. 6. Conduct regular security assessments and code reviews focusing on input handling related to LLM integrations. 7. Educate administrators and developers about the risks of improper input neutralization in AI/LLM contexts to prevent similar vulnerabilities. 8. Maintain up-to-date incident response plans to quickly address any exploitation attempts.
Affected Countries
United Kingdom, Germany, France, Netherlands, Sweden, Ireland, Belgium
CVE-2025-64321: CWE-1427 Improper Neutralization of Input Used for LLM Prompting in Salesforce Agentforce Vibes Extension
Description
Improper Neutralization of Input Used for LLM Prompting vulnerability in Salesforce Agentforce Vibes Extension allows Manipulating Writeable Configuration Files.This issue affects Agentforce Vibes Extension: before 3.3.0.
AI-Powered Analysis
Technical Analysis
CVE-2025-64321 is a vulnerability identified in the Salesforce Agentforce Vibes Extension, specifically versions before 3.3.0. The root cause is improper neutralization of input used for prompting large language models (LLMs), categorized under CWE-1427. This weakness allows an attacker to inject malicious input that is not properly sanitized before being used in LLM prompts, leading to the manipulation of writable configuration files within the extension. Because configuration files often control the behavior and settings of the extension, unauthorized modifications can alter system operations, potentially enabling further attacks or disruption of services. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile. The CVSS v3.1 base score is 5.3 (medium severity), reflecting the lack of confidentiality or availability impact but acknowledging the integrity compromise. No patches or exploits are currently publicly available, but the vendor has reserved the CVE and published the vulnerability details, indicating that a fix may be forthcoming. The vulnerability is particularly relevant in environments where Salesforce Agentforce Vibes Extension is used to enhance customer engagement and service workflows, as corrupted configurations could degrade service quality or introduce security gaps.
Potential Impact
For European organizations, the impact primarily concerns the integrity of customer service and CRM workflows managed through the Salesforce Agentforce Vibes Extension. Manipulation of configuration files could lead to altered system behavior, potentially causing incorrect data processing, misrouting of customer interactions, or enabling secondary attacks through configuration abuse. While confidentiality and availability are not directly affected, the integrity compromise can undermine trust in service operations and lead to compliance issues, especially under GDPR where data processing accuracy is critical. Organizations heavily reliant on Salesforce for customer engagement, particularly in sectors like finance, healthcare, and telecommunications, may face operational disruptions or reputational damage if exploited. The remote, no-authentication nature of the vulnerability increases the risk of automated exploitation attempts, necessitating prompt mitigation. The absence of known exploits in the wild provides a window for proactive defense but should not lead to complacency.
Mitigation Recommendations
1. Upgrade the Salesforce Agentforce Vibes Extension to version 3.3.0 or later as soon as the patch is released by Salesforce. 2. Until patching is possible, restrict write permissions on configuration files associated with the extension to only trusted administrators and processes. 3. Implement strict input validation and sanitization controls on any user or external inputs that interact with LLM prompting mechanisms within the extension. 4. Monitor configuration files for unauthorized changes using file integrity monitoring tools and alert on suspicious modifications. 5. Employ network-level protections such as web application firewalls (WAFs) to detect and block anomalous requests targeting the extension. 6. Conduct regular security assessments and code reviews focusing on input handling related to LLM integrations. 7. Educate administrators and developers about the risks of improper input neutralization in AI/LLM contexts to prevent similar vulnerabilities. 8. Maintain up-to-date incident response plans to quickly address any exploitation attempts.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Salesforce
- Date Reserved
- 2025-10-30T15:17:24.110Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 690a47346d939959c8021a95
Added to database: 11/4/2025, 6:34:28 PM
Last enriched: 11/11/2025, 6:54:30 PM
Last updated: 12/20/2025, 11:40:50 AM
Views: 37
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