CVE-2026-7700

A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

Summary

Langflow versions 1.3.0 through 1.10.2 contain a code-injection vulnerability in the Smart Transform (LambdaFilterComponent) component.

Smart Transform places flow-author instructions and a preview of its input data into a prompt asking an LLM to generate a Python lambda. It then extracts a one-line lambda from the model response, applies only syntactic format checks, evaluates it with Python's full builtins, and invokes the resulting function inside the Langflow process.

A malicious flow author can exploit this directly through the Instructions field. In deployments where an exposed flow passes attacker-controlled content into Smart Transform, an attacker may also exploit it indirectly through prompt injection, subject to the configured model following the injected instruction.

Vulnerability details

Vulnerable Code Location: src/lfx/src/lfx/components/llm_operations/lambda_filter.py (line 242 in v1.10.2)

def _validate_lambda(self, lambda_text: str) -> bool:
    """Validate the provided lambda function text."""
    return lambda_text.strip().startswith("lambda") and ":" in lambda_text

# ...
return eval(lambda_text)  # noqa: S307

For example, an attacker can attempt to make the model return:

lambda x: __import__("os").system("id")

This expression satisfies the vulnerable format checks. eval() creates the lambda with access to Python's default builtins, and the subsequent fn(data) invocation (in _execute_lambda) executes the command.

Successful exploitation allows code execution with the privileges of the Langflow service process. This can expose or modify credentials, files, application data, and network resources accessible to that process, and may affect other tenants in shared deployments.

PoC

https://github.com/user-attachments/assets/13c48fe1-7225-4e0d-9687-2d2df1e87f0e

Fix

The reported path was addressed by validating the generated code's AST and evaluating it with a restricted builtins mapping.

The mainline fix is in PR #13530 (1641b28f) and shipped in Langflow 1.11.0. The 1.10.3 backport is in PR #14071 (94859df3). Users should upgrade to Langflow 1.10.3 or later.

Workarounds

Until an upgrade is possible:

• Remove Smart Transform from runnable flows.
• Restrict flow creation, editing, and execution to trusted users.
• Do not route untrusted or externally controlled data through Smart Transform.
• Limit the Langflow process's filesystem, network, and credential access.

Credit

• Peyton Kennedy (p80n-sec) of Endor Labs — reporter (original finder)
• SZXSec — reporter (duplicate report)
• cyjhhh — reporter (duplicate report)
• 0gur1 — reporter (duplicate report)
• ajm4n — reporter (duplicate report, Finding 1 of a multi-finding submission)
• andifilhohub — analyst
• Jordan Frazier (jordanrfrazier) — remediation developer

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-9fpm-3445-2vx4. This link is maintained to preserve external references.

Original Description

A weakness has been identified in langflow-ai langflow up to 1.8.4. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.p of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

Summary

Langflow versions 1.3.0 through 1.10.2 contain a code-injection vulnerability in the Smart Transform (LambdaFilterComponent) component.

Smart Transform places flow-author instructions and a preview of its input data into a prompt asking an LLM to generate a Python lambda. It then extracts a one-line lambda from the model response, applies only syntactic format checks, evaluates it with Python's full builtins, and invokes the resulting function inside the Langflow process.

A malicious flow author can exploit this directly through the Instructions field. In deployments where an exposed flow passes attacker-controlled content into Smart Transform, an attacker may also exploit it indirectly through prompt injection, subject to the configured model following the injected instruction.

Vulnerability details

Vulnerable Code Location: src/lfx/src/lfx/components/llm_operations/lambda_filter.py (line 242 in v1.10.2)

def _validate_lambda(self, lambda_text: str) -> bool:
    """Validate the provided lambda function text."""
    return lambda_text.strip().startswith("lambda") and ":" in lambda_text

# ...
return eval(lambda_text)  # noqa: S307

For example, an attacker can attempt to make the model return:

lambda x: __import__("os").system("id")

This expression satisfies the vulnerable format checks. eval() creates the lambda with access to Python's default builtins, and the subsequent fn(data) invocation (in _execute_lambda) executes the command.

Successful exploitation allows code execution with the privileges of the Langflow service process. This can expose or modify credentials, files, application data, and network resources accessible to that process, and may affect other tenants in shared deployments.

PoC

https://github.com/user-attachments/assets/13c48fe1-7225-4e0d-9687-2d2df1e87f0e

Fix

The reported path was addressed by validating the generated code's AST and evaluating it with a restricted builtins mapping.

The mainline fix is in PR #13530 (1641b28f) and shipped in Langflow 1.11.0. The 1.10.3 backport is in PR #14071 (94859df3). Users should upgrade to Langflow 1.10.3 or later.

Workarounds

Until an upgrade is possible:

• Remove Smart Transform from runnable flows.
• Restrict flow creation, editing, and execution to trusted users.
• Do not route untrusted or externally controlled data through Smart Transform.
• Limit the Langflow process's filesystem, network, and credential access.

Credit

• Peyton Kennedy (p80n-sec) of Endor Labs — reporter (original finder)
• SZXSec — reporter (duplicate report)
• cyjhhh — reporter (duplicate report)
• 0gur1 — reporter (duplicate report)
• ajm4n — reporter (duplicate report, Finding 1 of a multi-finding submission)
• andifilhohub — analyst
• Jordan Frazier (jordanrfrazier) — remediation developer

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-9fpm-3445-2vx4. This link is maintained to preserve external references.

Original Description

A weakness has been identified in langflow-ai langflow up to 1.8.4. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.p of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

Summary

Langflow versions 1.3.0 through 1.10.2 contain a code-injection vulnerability in the Smart Transform (LambdaFilterComponent) component.

Smart Transform places flow-author instructions and a preview of its input data into a prompt asking an LLM to generate a Python lambda. It then extracts a one-line lambda from the model response, applies only syntactic format checks, evaluates it with Python's full builtins, and invokes the resulting function inside the Langflow process.

A malicious flow author can exploit this directly through the Instructions field. In deployments where an exposed flow passes attacker-controlled content into Smart Transform, an attacker may also exploit it indirectly through prompt injection, subject to the configured model following the injected instruction.

Vulnerability details

Vulnerable Code Location: src/lfx/src/lfx/components/llm_operations/lambda_filter.py (line 242 in v1.10.2)

def _validate_lambda(self, lambda_text: str) -> bool:
    """Validate the provided lambda function text."""
    return lambda_text.strip().startswith("lambda") and ":" in lambda_text

# ...
return eval(lambda_text)  # noqa: S307

For example, an attacker can attempt to make the model return:

lambda x: __import__("os").system("id")

This expression satisfies the vulnerable format checks. eval() creates the lambda with access to Python's default builtins, and the subsequent fn(data) invocation (in _execute_lambda) executes the command.

Successful exploitation allows code execution with the privileges of the Langflow service process. This can expose or modify credentials, files, application data, and network resources accessible to that process, and may affect other tenants in shared deployments.

PoC

https://github.com/user-attachments/assets/13c48fe1-7225-4e0d-9687-2d2df1e87f0e

Fix

The reported path was addressed by validating the generated code's AST and evaluating it with a restricted builtins mapping.

The mainline fix is in PR #13530 (1641b28f) and shipped in Langflow 1.11.0. The 1.10.3 backport is in PR #14071 (94859df3). Users should upgrade to Langflow 1.10.3 or later.

Workarounds

Until an upgrade is possible:

• Remove Smart Transform from runnable flows.
• Restrict flow creation, editing, and execution to trusted users.
• Do not route untrusted or externally controlled data through Smart Transform.
• Limit the Langflow process's filesystem, network, and credential access.

Credit

• Peyton Kennedy (p80n-sec) of Endor Labs — reporter (original finder)
• SZXSec — reporter (duplicate report)
• cyjhhh — reporter (duplicate report)
• 0gur1 — reporter (duplicate report)
• ajm4n — reporter (duplicate report, Finding 1 of a multi-finding submission)
• andifilhohub — analyst
• Jordan Frazier (jordanrfrazier) — remediation developer