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GHSA-fjqc-hq36-qh5p

MEDIUM

GHSA-fjqc-hq36-qh5p is a medium-severity (CVSS 6.8) Deserialization of Untrusted Data vulnerability in langgraph-checkpoint. O3 Security confirms whether GHSA-fjqc-hq36-qh5p is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

LangGraph Checkpoint: Unsafe JSON deserialization in checkpoint loading

Also known asCVE-2026-48775PYSEC-2026-2573
Published
Jun 25, 2026
Updated
Jul 13, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 7, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • A successful exploit gives an attacker total control of the affected component, not partial access.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-fjqc-hq36-qh5p.

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs14th percentile — riskier than 14% of all scored CVEsHighest risk
0.00%0.24%0.49%0.73%0.2%0.2%0.2%0.2%Jul 26Sep 26Sep 26

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.

How urgent is this, really

GHSA-fjqc-hq36-qh5p plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 0 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

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

LangGraph's JsonPlusSerializer can reconstruct Python objects from JSON checkpoint payloads. Under conditions where someone could modify checkpoint bytes at rest in the backing store, the deserialization path could reconstruct objects beyond what the application expects, which could in turn result in code execution at checkpoint load time.

This is a defense-in-depth issue. The affected behavior is reachable only when checkpoint bytes at rest in the backing store can be modified by an unauthorized party. In most deployments that prerequisite already implies a serious incident; the additional concern is turning "checkpoint-store write access" into code execution in the application runtime.

There is no evidence of this behavior being triggered in the wild, and the team is not aware of a practical path to it in existing deployments today. This change is intended to reduce the surface available after a checkpoint-store incident.

Affected users / systems

Users may be affected if they:

  • use a persistent checkpointer (database, remote store, shared filesystem, etc.) with the default JsonPlusSerializer,
  • load/resume from checkpoints, and
  • operate in an environment where write access to the checkpoint store could be obtained by an unauthorized party.

The default checkpoint serializer in all shipped checkpointer backends (PostgresSaver, SqliteSaver, and their async counterparts) is JsonPlusSerializer, so applications generally do not need to opt in to be in scope.

Impact

  • Potential arbitrary code execution or other unsafe side effects during checkpoint deserialization.
  • Escalation from "write access to the checkpoint store" to "code execution in the LangGraph worker process," which may expose runtime secrets or provide access to other systems the runtime can reach.

Patches / mitigation

The JSON deserialization path has been narrowed so that revival is restricted to default-constructor reconstruction using the args/kwargs carried in the payload. The framework's own encoder has not relied on the removed behavior for produced checkpoints since the msgpack migration, so this change does not affect freshly written checkpoints. Legacy payloads that already used the default constructor as their first option continue to revive correctly via that same path.

Compatibility

A narrow legacy-resume regression applies to pre-October-2025 checkpoints of pydantic models where the original payload depended on a no-validation fallback factory to recover from incompatible schema evolution. After this change, such payloads return None from the revival path and fall through to the langchain-core reviver, which surfaces the raw dict rather than reconstructing the model.

Operational guidance

  • Treat checkpoint stores as integrity-sensitive. Restrict write access and rotate credentials if unauthorized access is suspected.
  • Avoid providing custom JSON revival hooks that reconstruct arbitrary types unless checkpoint data is fully trusted.

LangSmith / hosted deployments note

The team is not aware of this issue presenting concern for existing LangSmith-hosted deployments. The described conditions require modification of the checkpoint persistence layer used by the deployment; typical hosted configurations are designed to prevent such access.

First reported by: pucagit (CyStack).

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIlanggraph-checkpointall versions4.1.1

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. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update langgraph-checkpoint to 4.1.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-fjqc-hq36-qh5p 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 pinpoints whether GHSA-fjqc-hq36-qh5p is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-fjqc-hq36-qh5p. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Summary LangGraph's `JsonPlusSerializer` can reconstruct Python objects from JSON checkpoint payloads. Under conditions where someone could modify checkpoint bytes at rest in the backing store, the deserialization path could reconstruct objects beyond what the application expects, which could in turn result in code execution at checkpoint load time. This is a defense-in-depth issue. The affected behavior is reachable only when checkpoint bytes at rest in the backing store can be modified by an unauthorized party. In most deployments that prerequisite already implies a serious incident; th
O3 Security · Impact-Aware SCA

Is GHSA-fjqc-hq36-qh5p in your dependencies?

O3 detects GHSA-fjqc-hq36-qh5p across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.