CVE-2026-44843 json
LangChain: Unsafe deserialization of attacker-controlled LangChain objects through overly broad `load()` allowlists
published 6mo ago modified last mo. also EUVD-2026-31976 , GHSA-pjwx-r37v-7724 , PYSEC-2026-2564
- cvss
- 8.2
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.4%
- EPSS 0.4% chance of exploitation in 30 days, percentile 35%
- public exploits
- 0
- none known
Summary
LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.85 and 1.3.3, LangChain contains older runtime code paths that deserialize run inputs, run outputs, or other application-controlled payloads using overly broad object allowlists. These paths may call load() with allowed_objects="all". This does not enable arbitrary Python object deserialization, but it does allow any trusted LangChain-serializable object to be revived, which is broader than these runtime paths require. As a result, attacker-supplied LangChain serialized constructor dictionaries may cause trusted runtime paths to instantiate classes with untrusted constructor arguments. This vulnerability is fixed in 0.3.85 and 1.3.3.
Patch / fix
- pypi langchain-core 0.3.85, 1.3.3
- langchain langchain_core 0.3.85, 1.3.3
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Check with FencerVendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-44843 updated cvss 8.2
langchain: LangChain: Information disclosure and data integrity compromise via insecure deserialization
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Red Hat Exploit Intelligence exploit-intelligence-tech-preview/vulnerability-analysis-rhel9 Red Hat OpenShift Lightspeed openshift-lightspeed/lightspeed-service-api-rhel9affected: workaround, no fix available
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Red Hat Ansible Automation Platform 2 ansible-automation-platform-24/lightspeed-rhel8, ansible-automation-platform-25/lightspeed-rhel8, ansible-automation-platform-25/lightspeed-chatbot-rhel8affected: workaround, no fix planned “Will not fix”
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Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-cuda-rhel9, rhelai3/bootc-rocm-rhel9, rhelai3/bootc-gaudi-rhel9, rhelai3/disk-image-cuda-rhel9affected: workaround, no fix available, no fix planned “Will not fix”
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Red Hat Migration Toolkit for Applications 8.2 mta/mta-solution-server-rhel9 1784109883fixed: vendor fix RHSA-2026:43038
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Red Hat OpenShift AI 3.3 rhoai/odh-trustyai-nemo-guardrails-server-rhel9 1789570674fixed: vendor fix RHSA-2026:73987
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Red Hat OpenShift AI 3.4 rhoai/odh-autorag-rhel9 1786612637, rhoai/odh-llama-stack-core-rhel9 1786635926, rhoai/odh-trustyai-garak-lls-provider-dsp-rhel9 1791785804, rhoai/odh-trustyai-nemo-guardrails-server-rhel9 1787330585fixed: vendor fix RHSA-2026:60520
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Red Hat Migration Toolkit for Applications 8.2 mta/mta-ui-rhel9 1783962515, mta/mta-cli-rhel9 1784211378, mta/mta-hub-rhel9 1784059743, mta/mta-rhel9-operator 1784219586, mta/mta-operator-bundle 1784220119, mta/mta-analyzer-addon-rhel9 1784163267, +7 more Red Hat OpenShift AI 3.3 rhoai/odh-cli-rhel9 1790070206, rhoai/rhai-cli-rhel9 1790070206, rhoai/odh-mlflow-rhel9 1789653606, rhoai/odh-trainer-rhel9 1790136369, rhoai/odh-maas-api-rhel9 1790131842, rhoai/odh-mlserver-rhel9 1789121365, +76 more Red Hat OpenShift AI 3.4 rhoai/odh-cli-rhel9 1787330837, rhoai/odh-cli-rhel9 1791509689, rhoai/rhai-cli-rhel9 1787330837, rhoai/rhai-cli-rhel9 1791509689, rhoai/odh-automl-rhel9 1786612415, rhoai/odh-automl-rhel9 1791535789, +202 morenot affected: vulnerable code not present
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- yes
- Technical impact
- partial
- Assessed
- 5mo ago
Exploit prediction
0.41% chance of exploitation in the next 30 days, higher than 35% of all scored CVEs (FIRST EPSS, 2026-11-09).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 8.2 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N |
| GitHub | 3.1 | 8.2 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N |
| OSV | 3.1 | 8.2 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | langchain-core | >=1.0.0, <1.3.3 <0.3.85 |
1.3.3 0.3.85 |
Affected products
- langchain-ai langchain
Classification
- Weakness
-
- CWE-502 Deserialization of Untrusted Data
References
-
github.com
/langchain-ai/langchain/security/advisories/GHSA-pjwx-r37v-7724
web, mitigation, vendor-advisory
-
nvd.nist.gov
/vuln/detail/CVE-2026-44843
advisory
-
github.com
/langchain-ai/langchain
package
-
pypi.org
/project/langchain-core
package
-
github.com
/advisories/GHSA-pjwx-r37v-7724
advisory
Sources
- CVE List CVE-2026-44843
- GitHub Advisory GHSA-pjwx-r37v-7724
- NVD CVE-2026-44843
- OSV PYSEC-2026-2564
Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.