CVE-2026-0769
Langflow's eval_custom_component_code is vulnerable to unauthenticated RCE.
- CVSS 9.8
- CWE-95
- Input Validation and Sanitization
- Remote
Langflow eval_custom_component_code Eval Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Langflow. Authentication is not required to exploit this vulnerability. The specific flaw exists within the implementation of eval_custom_component_code function. The issue results from the lack of proper validation of a user-supplied string before using it to execute python code. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-26972.
- CWE
- CWE-95
- CVSS base score
- 9.8
- Published
- 2026-01-23
- OWASP
- A03 Injection
- Orthogonal defect classification
- Checking
- Code defect classification
- Missing Check
- Category
- Input Validation and Sanitization
- Subcategory
- Command Injection
- Accessibility scope
- Remote
- Impact
- Arbitrary Code Execution
- Affected component
- Langflow
- Fixed by upgrading
- Yes
Solution
Upgrade to Langflow version 1.0.0a27 or later.
Vulnerable code sample
import collections.abc
class LangflowComponent:
def eval_custom_component_code(self, user_data: dict):
"""
Evaluates the code for a custom component provided by the user.
The user_data dictionary is expected to contain a 'code' key
with a string of Python code to be executed.
"""
if "code" in user_data:
code_string = user_data["code"]
try:
# The vulnerability is the direct evaluation of the user-supplied string.
# No validation or sandboxing is performed.
result = eval(code_string, {"__builtins__": __builtins__})
return {"status": "success", "return_value": repr(result)}
except Exception as e:
return {"status": "error", "message": str(e)}
return {"status": "error", "message": "No code provided."}Patched code sample
import ast
from typing import Any, Dict
def eval_custom_component_code(code: str) -> Dict[str, Any]:
"""
Evaluates the given Python code and returns the global variables
after execution.
This function now includes security measures to prevent arbitrary code execution
by parsing the code into an Abstract Syntax Tree (AST) and checking for
disallowed operations like imports or dangerous function calls.
Args:
code (str): The Python code to evaluate.
Returns:
Dict[str, Any]: A dictionary of global variables after the code has
been executed.
Raises:
ValueError: If the code contains disallowed operations.
"""
# Disallowed keywords - we don't want to allow imports
disallowed_keywords = ["import"]
# Disallowed nodes - we don't want to allow imports, and we want to prevent
# any calls to functions that could be used for remote code execution.
disallowed_nodes = [
ast.Import,
ast.ImportFrom,
]
# We also want to prevent calls to open, eval, exec
# and any dunder methods.
disallowed_function_calls = ["open", "eval", "exec"]
# Check for disallowed keywords
if any(keyword in code for keyword in disallowed_keywords):
raise ValueError("Code contains disallowed keywords.")
# Parse the code into an AST
try:
tree = ast.parse(code)
except SyntaxError as e:
raise ValueError(f"Invalid Python code: {e}") from e
# Check for disallowed nodes in the AST
for node in ast.walk(tree):
if any(isinstance(node, disallowed_node) for disallowed_node in disallowed_nodes):
raise ValueError(f"Code contains disallowed AST nodes: {type(node).__name__}")
# Check for disallowed function calls
if isinstance(node, ast.Call) and isinstance(node.func, ast.Name):
if node.func.id in disallowed_function_calls:
raise ValueError(f"Code contains disallowed function call: {node.func.id}")
# Check for dunder methods
if isinstance(node, ast.Attribute) and node.attr.startswith("__") and node.attr.endswith("__"):
raise ValueError(f"Code contains disallowed dunder method call: {node.attr}")
# If the code is safe, execute it
globals_dict: Dict[str, Any] = {}
exec(code, globals_dict)
return globals_dictPayload
__import__('os').system('id')
Cite this entry
@misc{vaitp:cve20260769,
title = {{Langflow's eval_custom_component_code is vulnerable to unauthenticated RCE.}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2026},
note = {VAITP Python Vulnerability Dataset, entry CVE-2026-0769},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2026-0769/}}
}
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