CVE-2024-48918
Published: 16 October 2024
Summary
CVE-2024-48918 is a high-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked at the 37.7th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: LLM Prompt Injection (AML.T0051).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-43132
Vulnerability details
RDS Light is a simplified version of the Reflective Dialogue System (RDS), a self-reflecting AI framework. Versions prior to 1.1.0 contain a vulnerability that involves a lack of input validation within the RDS AI framework, specifically within the user input…
more
handling code in the main module (`main.py`). This leaves the framework open to injection attacks and potential memory tampering. Any user or external actor providing input to the system could exploit this vulnerability to inject malicious commands, corrupt stored data, or affect API calls. This is particularly critical for users employing RDS AI in production environments where it interacts with sensitive systems, performs dynamic memory caching, or retrieves user-specific data for analysis. Impacted areas include developers using the RDS AI system as a backend for AI-driven applications and systems running RDS AI that may be exposed to untrusted environments or receive unverified user inputs. The vulnerability has been patched in version 1.1.0 of the RDS AI framework. All user inputs are now sanitized and validated against a set of rules designed to mitigate malicious content. Users should upgrade to version 1.1.0 or higher and ensure all dependencies are updated to their latest versions. For users unable to upgrade to the patched version, a workaround can be implemented. The user implementing the workaround should implement custom validation checks for user inputs to filter out unsafe characters and patterns (e.g., SQL injection attempts, script injections) and limit or remove features that allow user input until the system can be patched.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- RDS Light is a simplified self-reflecting AI framework (Reflective Dialogue System) used as a backend for AI-driven applications in production environments, aligning with Enterprise AI Assistants.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Lack of input validation in user input handling enables injection of malicious commands and scripts, facilitating abuse of command and scripting interpreters (T1059).
MITRE ATLAS TechniquesAI
MITRE ATLAS techniques
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Directly implements checks on information inputs to reject invalid data before processing.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.