Prasad Chalasani

4 exploits Active since May 2025
CVE-2025-46726 WRITEUP CRITICAL WRITEUP
langroid < 0.53.4 - XML External Entity Injection via XMLToolMessage
Langroid is a framework for building large-language-model-powered applications. Prior to version 0.53.4, a LLM application leveraging `XMLToolMessage` class may be exposed to untrusted XML input that could result in DoS and/or exposing local files with sensitive information. Version 0.53.4 fixes the issue.
CVSS 9.1
CVE-2025-46724 WRITEUP CRITICAL WRITEUP
langroid < 0.53.15 - Code Injection via TableChatAgent pandas eval()
Langroid is a Python framework to build large language model (LLM)-powered applications. Prior to version 0.53.15, `TableChatAgent` uses `pandas eval()`. If fed by untrusted user input, like the case of a public-facing LLM application, it may be vulnerable to code injection. Langroid 0.53.15 sanitizes input to `TableChatAgent` by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.
CVSS 9.8
CVE-2025-46725 WRITEUP CRITICAL WRITEUP
langroid < 0.53.15 - Remote Code Execution via LanceDocChatAgent QueryPlan.dataframe_calc
Langroid is a Python framework to build large language model (LLM)-powered applications. Prior to version 0.53.15, `LanceDocChatAgent` uses pandas eval() through `compute_from_docs()`. As a result, an attacker may be able to make the agent run malicious commands through `QueryPlan.dataframe_calc]`) compromising the host system. Langroid 0.53.15 sanitizes input to the affected function by default to tackle the most common attack vectors, and added several warnings about the risky behavior in the project documentation.
CVSS 9.8
CVE-2026-25481 WRITEUP CRITICAL WRITEUP
langroid < 0.59.32 - Remote Code Execution via Pandas Eval Bypass
Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandas_eval tool to evaluate the expression. There is a WAF in langroid/utils/pandas_utils.py introduced to block code injection CVE-2025-46724. However it can be bypassed due to _literal_ok() returning False instead of raising UnsafeCommandError on invalid input, combined with unrestricted access to dangerous dunder attributes (__init__, __globals__, __builtins__). This allows chaining whitelisted DataFrame methods to leak the eval builtin and execute arbitrary code. This issue has been patched in version 0.59.32.
CVSS 9.6