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{"bugzilla": {"description": "langchain-core: LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates", "id": "2416504", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2416504"}, "csaw": false, "cvss3": {"cvss3_base_score": "8.2", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N", "status": "draft"}, "cwe": "CWE-1336", "details": ["LangChain is a framework for building agents and LLM-powered applications. From versions 0.3.79 and prior and 1.0.0 to 1.0.6, a template injection vulnerability exists in LangChain's prompt template system that allows attackers to access Python object internals through template syntax. This vulnerability affects applications that accept untrusted template strings (not just template variables) in ChatPromptTemplate and related prompt template classes. This issue has been patched in versions 0.3.80 and 1.0.7.", "A template-injection vulnerability in LangChain's prompt template system allowed untrusted template strings to access Python object internals through attribute traversal and indexing. By crafting malicious template expressions, an attacker could read sensitive properties (e.g., __class__, __globals__) from objects passed into the template, potentially exposing environment variables, configuration data, and other confidential runtime state. The issue affects applications that accept user-controlled template structures rather than just template variables."], "mitigation": {"lang": "en:us", "value": "No mitigation is currently available that meets Red Hat Product Security\u2019s standards for usability, deployment, applicability, or stability."}, "name": "CVE-2025-65106", "package_state": [{"cpe": "cpe:/a:redhat:openshift_lightspeed", "fix_state": "Affected", "package_name": "openshift-lightspeed/lightspeed-service-api-rhel9", "product_name": "OpenShift Lightspeed"}, {"cpe": "cpe:/a:redhat:ansible_automation_platform:2", "fix_state": "Not affected", "package_name": "ansible-automation-platform-24/de-minimal-rhel8", "product_name": "Red Hat Ansible Automation Platform 2"}, {"cpe": "cpe:/a:redhat:ansible_automation_platform:2", "fix_state": "Not affected", "package_name": "ansible-automation-platform-24/de-minimal-rhel9", "product_name": "Red Hat Ansible Automation Platform 2"}, {"cpe": 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"Red Hat Ansible Automation Platform 2"}, {"cpe": "cpe:/a:redhat:ansible_automation_platform:2", "fix_state": "Not affected", "package_name": "ansible-automation-platform-tech-preview/ansible-devspaces-rhel9", "product_name": "Red Hat Ansible Automation Platform 2"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/bootc-amd-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/bootc-aws-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/bootc-azure-amd-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/bootc-azure-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/bootc-gcp-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/bootc-intel-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/bootc-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/instructlab-amd-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/instructlab-intel-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Affected", "package_name": "rhelai1/instructlab-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-llama-stack-core-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-trustyai-ragas-lls-provider-dsp-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2025-11-21T21:43:02Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-65106\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-65106\nhttps://github.com/langchain-ai/langchain/commit/c4b6ba254e1a49ed91f2e268e6484011c540542a\nhttps://github.com/langchain-ai/langchain/commit/fa7789d6c21222b85211755d822ef698d3b34e00\nhttps://github.com/langchain-ai/langchain/security/advisories/GHSA-6qv9-48xg-fc7f"], "statement": "This vulnerability marked as an Important vulnerability rather than a Moderate flaw because the template injection pathway enables attackers to reach and traverse Python object internals, including attributes like __class__, __dict__, and potentially __globals__, when untrusted template structures are evaluated. This goes far beyond simple variable misuse: once an attacker can access internal object graphs, they may extract highly sensitive data such as environment variables, configuration objects, authentication tokens, or internal state held within LangChain message objects. The attack requires no privileges, no user interaction, and succeeds over a network whenever applications accept user-provided prompt templates\u2014meaning the impact is systemic and not isolated to a single component. Although method execution is blocked, attribute traversal combined with indexing ([]) is still sufficient to expose confidential server-side data, creating a high confidentiality impact. Because the flaw allows reading sensitive runtime state rather than just causing template mis-renders or limited information exposure, the risk crosses the threshold from Moderate to Important.", "threat_severity": "Important"}

{"created": "2025-11-24T09:08:35.619777+00:00", "updated": "2025-11-24T09:08:35.619813+00:00", "vendors": ["langchain-ai", "langchain-ai$PRODUCT$langchain"]}