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CVE-2025-6101: Improper Neutralization of Directives in Dynamically Evaluated Code in letta-ai letta

Medium
VulnerabilityCVE-2025-6101cvecve-2025-6101
Published: Mon Jun 16 2025 (06/16/2025, 02:00:11 UTC)
Source: CVE Database V5
Vendor/Project: letta-ai
Product: letta

Description

A vulnerability classified as critical has been found in letta-ai letta up to 0.4.1. Affected is the function function_message of the file letta/letta/interface.py. The manipulation of the argument function_name/function_args leads to improper neutralization of directives in dynamically evaluated code. The exploit has been disclosed to the public and may be used.

AI-Powered Analysis

AILast updated: 06/16/2025, 02:49:33 UTC

Technical Analysis

CVE-2025-6101 is a medium-severity vulnerability identified in the letta-ai letta software, specifically affecting versions 0.4.0 and 0.4.1. The vulnerability resides in the function_message function within the file letta/letta/interface.py. It stems from improper neutralization of directives in dynamically evaluated code, caused by unsafe handling of the function_name and function_args arguments. This flaw allows an attacker with low privileges and no user interaction to manipulate these inputs, potentially injecting malicious directives that get executed dynamically. The vulnerability is exploitable remotely with low attack complexity but requires some level of privileges (PR:L). The CVSS 4.0 vector indicates that the attack vector is adjacent network (AV:A), meaning the attacker must have access to the local network or similar environment. The impact on confidentiality, integrity, and availability is low individually but combined could lead to partial compromise of the affected system. No authentication bypass or privilege escalation is directly indicated, but the improper neutralization of directives in dynamic code evaluation can lead to code injection or command execution scenarios if chained with other vulnerabilities or misconfigurations. No known exploits are currently observed in the wild, but public disclosure increases the risk of exploitation attempts. The lack of patch links suggests that fixes may not yet be widely available or published. Overall, this vulnerability highlights the risks of unsafe dynamic code evaluation and the importance of rigorous input validation and sanitization in software components that interpret or execute code directives dynamically.

Potential Impact

For European organizations utilizing letta-ai letta versions 0.4.0 or 0.4.1, this vulnerability could lead to unauthorized code execution within the context of the affected application. Although the CVSS score is medium (5.1), the risk is non-trivial because exploitation requires only low privileges and no user interaction, potentially allowing lateral movement or targeted attacks within internal networks. The impact on confidentiality could involve leakage of sensitive information processed by the application. Integrity could be compromised through unauthorized modification of data or execution flow, and availability could be affected if malicious code disrupts service operations. Organizations in sectors relying on AI-driven automation or data processing using letta may face operational disruptions or data integrity issues. Given the adjacency network attack vector, internal network security posture is critical; compromised internal hosts could be leveraged to exploit this vulnerability. The absence of known exploits in the wild currently reduces immediate risk but does not eliminate it, especially post-public disclosure. European entities with sensitive AI workloads or critical infrastructure automation using letta should consider this vulnerability a moderate threat requiring timely mitigation.

Mitigation Recommendations

1. Immediate mitigation should focus on restricting access to the letta-ai letta service to trusted network segments only, minimizing exposure to adjacent network attackers. 2. Implement strict input validation and sanitization on all inputs to the function_message function, especially function_name and function_args, to neutralize any potentially malicious directives before dynamic evaluation. 3. Employ runtime application self-protection (RASP) or similar monitoring tools to detect anomalous code execution patterns indicative of exploitation attempts. 4. If possible, disable or limit dynamic code evaluation features in letta until a patched version is available. 5. Monitor vendor communications closely for official patches or updates addressing this vulnerability and apply them promptly. 6. Conduct internal audits of AI-related workflows using letta to identify and isolate critical data or processes that could be targeted. 7. Enhance network segmentation and implement strict access controls to reduce the risk of lateral movement by attackers exploiting this vulnerability. 8. Educate development and operations teams about the risks of dynamic code evaluation and enforce secure coding practices to prevent similar issues in future releases.

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Technical Details

Data Version
5.1
Assigner Short Name
VulDB
Date Reserved
2025-06-15T09:35:09.434Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 684f82b7a8c921274383702b

Added to database: 6/16/2025, 2:34:31 AM

Last enriched: 6/16/2025, 2:49:33 AM

Last updated: 8/12/2025, 4:56:34 PM

Views: 27

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