{"id":44925,"date":"2025-05-27T17:56:47","date_gmt":"2025-05-27T17:56:47","guid":{"rendered":""},"modified":"2025-06-10T17:56:26","modified_gmt":"2025-06-10T23:56:26","slug":"cve-2025-46724-critical-code-injection-vulnerability-in-langroid-python-framework","status":"publish","type":"post","link":"https:\/\/www.ameeba.com\/blog\/cve-2025-46724-critical-code-injection-vulnerability-in-langroid-python-framework\/","title":{"rendered":"CVE-2025-46724: Critical Code Injection Vulnerability in Langroid Python Framework<\/strong>"},"content":{"rendered":"

Overview<\/strong><\/p>\n

In the realm of cybersecurity, securing large language model (LLM) applications is paramount. This blog post discusses a critical vulnerability – CVE-2025-46724 – found in Langroid, a Python framework used to build LLM-powered applications. This vulnerability, if exploited, can lead to a system<\/a> compromise or data leakage, affecting any organization that leverages the Langroid framework prior to version 0.53.15. The gravity of this vulnerability underscores the importance of understanding and mitigating cybersecurity risks<\/a> in LLM frameworks.<\/p>\n

Vulnerability Summary<\/strong><\/p>\n

CVE ID: CVE-2025-46724
\nSeverity: Critical (CVSS: 9.8)
\nAttack Vector: Network
\nPrivileges Required: Low
\nUser Interaction: Required
\nImpact: System compromise<\/a> or data leakage<\/p>\n

Affected Products<\/strong><\/p>\n

Product | Affected Versions<\/p>\n

Langroid Python Framework | Versions prior<\/a> to 0.53.15<\/p>\n

How the Exploit Works<\/strong><\/p>\n

Langroid, prior to version 0.53.15, is vulnerable to code injection<\/a> via the `TableChatAgent` which utilizes `pandas eval()`. Untrusted user input, if not properly sanitized, can be manipulated to execute malicious commands<\/a>. In the context of a public-facing LLM application, this flaw can allow an attacker to exploit<\/a> the system, leading to a system compromise or data leakage.<\/p>\n

Conceptual Example Code<\/strong><\/p>\n

Consider a scenario where a malicious actor interacts with a vulnerable application<\/a>. They could craft a payload that exploits the lack of sanitization, as shown below:<\/p>\n

{\n\"user_input\": \"'; import os; os.system('rm -rf \/') #\"\n}<\/code><\/pre>\n
In this conceptual example, the malicious user input starts with a semicolon, which ends any ongoing commands. The rest of the string is a new command that the attacker wants to execute, in this case, a harmful command that deletes all files<\/a> in the system.<\/p>\n
Mitigation<\/strong><\/p>\n
To mitigate this vulnerability, users are strongly recommended to update their Langroid Python Framework to version 0.53.15 or later. This version sanitizes input to `TableChatAgent` by default, effectively preventing the code injection<\/a> attack vector. If immediate patching is not possible, implementing a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can provide temporary mitigation. Moreover, developers should always sanitize user inputs, even if they seem harmless, to prevent potential exploits.<\/p>\n
Conclusion<\/strong><\/p>\n
In conclusion, CVE-2025-46724 is a critical vulnerability<\/a> affecting the Langroid Python Framework. By understanding how this vulnerability works and how to mitigate it, organizations can better secure their systems and data<\/a>, reinforcing the importance of proactive cybersecurity measures.<\/p>\n","protected":false},"excerpt":{"rendered":"
Overview In the realm of cybersecurity, securing large language model (LLM) applications is paramount. This blog post discusses a critical vulnerability – CVE-2025-46724 – found in Langroid, a Python framework used to build LLM-powered applications. This vulnerability, if exploited, can lead to a system compromise or data leakage, affecting any organization that leverages the Langroid […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[1],"tags":[],"vendor":[],"product":[],"attack_vector":[78],"asset_type":[],"severity":[],"exploit_status":[],"class_list":["post-44925","post","type-post","status-publish","format-standard","hentry","category-uncategorized","attack_vector-injection"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t