CVE-2026-44209

Banks generates meaningful LLM prompts using a template language that makes sense. Prior to 2.4.2, banks uses jinja2.Environment unsandboxed to render prompt templates. Applications that pass user-supplied strings as the template argument to Prompt are vulnerable to Server-Side Template Injection...

EUVD-2026-31997

Banks generates meaningful LLM prompts using a template language that makes sense. Prior to 2.4.2, banks uses jinja2.Environment unsandboxed to render prompt templates. Applications that pass user-supplied strings as the template argument to Prompt are vulnerable to Server-Side Template Injection...

CVE-2026-44209

Banks prompt templating (banks) is vulnerable prior to version 2.4.2 due to an unsandboxed jinja2.Environment() when rendering prompt templates. If applications pass user-supplied strings as the template argument to Prompt(), this SSTI can lead to Remote Code Execution on the host. The issue is f...

Remote Code Execution (RCE)

LiteLLM is vulnerable to Remote Code Execution RCE. The vulnerability is due to unsafe rendering of user-supplied prompt templates in the POST /prompts/test endpoint without sandboxing, allowing authenticated users to execute arbitrary code within the LiteLLM Proxy process and potentially access...

GHSA-GPHH-9Q3H-JGPP banks has Critical Remote Code Execution (RCE) via Jinja2 SSTI

Summary banks = 2.4.1 uses jinja2.Environment unsandboxed to render prompt templates. Applications that pass user-supplied strings as the template argument to Prompt are vulnerable to Server-Side Template Injection SSTI, which can lead to Remote Code Execution RCE on the host system. This is a...

CVE-2026-42203

LiteLLM is a proxy server AI Gateway to call LLM APIs in OpenAI or native format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the...

PT-2026-39237

Banks generates meaningful LLM prompts using a template language that makes sense. Prior to 2.4.2, banks uses jinja2.Environment unsandboxed to render prompt templates. Applications that pass user-supplied strings as the template argument to Prompt are vulnerable to Server-Side Template Injection...

CVE-2026-40087 LangChain has incomplete f-string validation in prompt templates

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.84 and 1.2.28, LangChain's f-string prompt-template validation was incomplete in two respects. First, some prompt template classes accepted f-string templates and formatted them without enforcing the same...

CVE-2026-40087

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.84 and 1.2.28, LangChain's f-string prompt-template validation was incomplete in two respects. First, some prompt template classes accepted f-string templates and formatted them without enforcing the same...

CVE-2026-40087

LangChain CVE-2026-40087 affects the f-string prompt-template validation prior to versions 0.3.84 and 1.2.28. The vulnerability arises because DictPromptTemplate and ImagePromptTemplate could accept templates containing attribute access or indexing expressions and evaluate them during formatting,...

CVE-2026-40087 LangChain has incomplete f-string validation in prompt templates

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.84 and 1.2.28, LangChain's f-string prompt-template validation was incomplete in two respects. First, some prompt template classes accepted f-string templates and formatted them without enforcing the same...

PT-2026-31716

LangChain is a framework for building agents and LLM-powered applications. Prior to 0.3.84 and 1.2.28, LangChain's f-string prompt-template validation was incomplete in two respects. First, some prompt template classes accepted f-string templates and formatted them without enforcing the same...

GHSA-926X-3R5X-GFHW LangChain has incomplete f-string validation in prompt templates

LangChain's f-string prompt-template validation was incomplete in two respects. First, some prompt template classes accepted f-string templates and formatted them without enforcing the same attribute-access validation as PromptTemplate. In particular, DictPromptTemplate and ImagePromptTemplate...

LangChain has incomplete f-string validation in prompt templates

LangChain's f-string prompt-template validation was incomplete in two respects. First, some prompt template classes accepted f-string templates and formatted them without enforcing the same attribute-access validation as PromptTemplate. In particular, DictPromptTemplate and ImagePromptTemplate...

Template Injection

Overview langchain-core is a Building applications with LLMs through composability Affected versions of this package are vulnerable to Template Injection in the prompt template system. An attacker can access internal Python object attributes by submitting specially crafted template strings to...

EUVD-2025-198318

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...

CVE-2025-65106 LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates

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...

CVE-2025-65106 LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates

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...

CVE-2025-65106

CVE-2025-65106 — LangChain template injection : LangChain versions 0.3.79 and earlier and 1.0.0 to 1.0.6 contain a template injection vulnerability in the prompt template system that allows access to Python object internals via template syntax, affecting ChatPromptTemplate and related classes whe...

CVE-2025-65106 LangChain Vulnerable to Template Injection via Attribute Access in Prompt Templates

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...