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German CERT advisories disclosed two vulnerabilities in LangChain, warning that the framework is affected by flaws that can lead to information disclosure and the bypassing of security measures. The issues were published in separate notices, identified as 2026-0877 and 2026-1010, indicating multiple security weaknesses affecting the widely used LLM application framework.
The advisories provide limited public detail, but the reported impact suggests attackers could expose sensitive data and circumvent protections built into LangChain-based deployments. Organizations using LangChain should review the affected advisories, identify exposed implementations, and prioritize vendor guidance, patching, and compensating controls to reduce the risk of data exposure and weakened application security.
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dCERT published advisory 2026-1253 for LangChain components openai and text-splitters, describing multiple vulnerabilities that could allow information disclosure and SSRF bypass. The reference does not provide additional technical details or remediation information.
dCERT published advisory 2026-1010 for a LangChain vulnerability that could allow bypassing security measures. The reference does not provide further details on impact, exploitation, or fixes.
dCERT published advisory 2026-0877 for a LangChain vulnerability that could allow information disclosure. No additional technical details or remediation information are provided in the reference.
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Two critical serialization injection vulnerabilities were discovered in the LangChain framework, which is widely used for building LLM-powered applications. The first vulnerability (CVE-2025-68665) affects the `toJSON()` method in LangChain JS and related serialization routines, where user-controlled data containing the reserved `lc` key could be misinterpreted as legitimate LangChain objects during deserialization. The second vulnerability (CVE-2025-68664) impacts the `dumps()` and `dumpd()` functions, allowing attacker-supplied dictionaries with the `lc` key to be treated as internal objects, potentially leading to the extraction of secrets or the instantiation of internal classes with attacker-defined parameters. Both vulnerabilities are remotely exploitable and have been patched in recent versions of LangChain and LangChain Core. Exploitation of these flaws could allow attackers to extract sensitive information such as environment variables or manipulate application behavior by injecting malicious data structures. Organizations using affected versions of LangChain are strongly advised to upgrade to the patched releases—@langchain/core versions 0.3.80 and 1.1.8, langchain versions 0.3.37 and 1.2.3 for CVE-2025-68665, and langchain-core 0.3.81 and 1.2.5 for CVE-2025-68664—to mitigate the risk of exploitation.
Jun 29, 2026
A **critical deserialization vulnerability** tracked as `CVE-2025-68664` was disclosed in LangChain, affecting the framework's `dumps()` and `dumpd()` serialization functions. The flaw stems from improper escaping of dictionaries containing the internal `lc` key, allowing attacker-controlled input to be interpreted as trusted LangChain objects during deserialization. GitHub's advisory describes the issue as a serialization injection bug that can expose secrets through the `dumps`/`loads` APIs, while Red Hat warns the same weakness can lead to **remote arbitrary code execution**. Red Hat assigned the issue a **CVSS v3 score of 9.3** and classified it as `CWE-502` (**Deserialization of Untrusted Data**), while NVD scored it **8.2**. Red Hat said fixes were issued for affected products including **Red Hat Ansible Automation Platform 2.4, 2.5, and 2.6**, as well as **Red Hat OpenShift Lightspeed 1.1.2**, through security errata released in January 2026. The vulnerability is also tracked in the official CVE record under `CVE-2025-68664`.
Aug 20, 2026CVE-2025-9556 is a critical vulnerability (CVSS 9.8) in LangChainGo that puts large language model (LLM) applications at significant risk. Exploitation could allow attackers to compromise LLM-based systems. Immediate patching is recommended for all affected deployments.
Jun 29, 2026