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LangChain is a framework for building agents and LLM-powered applications. Prior to versions 0.3.81 and 1.2.5, a serialization injection vulnerability exists in LangChain's dumps() and dumpd() functions

CVSS8.2langchain-coreView details

Langchain Helm Charts are Helm charts for deploying Langchain applications on Kubernetes. Prior to langchain-ai/helm version 0.12.71, a URL parameter injection vulnerability existed in LangSmith Studio that could

CVSS8.1langsmithView details

langchain_experimental (aka LangChain Experimental) before 0.0.61 for LangChain provides Python REPL access without an opt-in step. NOTE; this issue exists because of an incomplete

CVSS7.8langchain-experimentalView details

LangChain vulnerable to unsafe deserialization of attacker-controlled objects through overly broad `load()` allowlists

CVSS8.2langchainView 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

langchain-coreView details

LangChain through 0.1.10 allows ../ directory traversal by an actor who is able to control the final part of the path parameter in a load_chain call. This bypasses the intended

CVSS8.1langchainView details

langchain-nvidia-ai-endpoints has local file disclosure through VLM image inputs

CVSS7.5langchain-nvidia-ai-endpointsView details

LangChain MongoDB has NoSQL Operator Injection in MongoDBSaver.list() leading to cross-tenant data exposure

CVSS7.7langgraph-checkpoint-mongodbView details

LangChain-ChatChat 0.3.1 contains a remote code execution vulnerability in its MCP STDIO server configuration and execution handling. A remote attacker can access the publicly exposed MCP management interface

HTMLSectionSplitter class in langchain-text-splitters version 0.3.8 is vulnerable to XML External Entity (XXE) attacks due to unsafe XSLT parsing. This vulnerability arises because the class allows

CVSS7.5langchain-text-splittersView details

Versions of the package langchain-experimental from 0.0.15 and before 0.0.21 are vulnerable to Arbitrary Code Execution when retrieving values from the database, the code will attempt to call 'eval

CVSS8.5langchain-experimentalView details

sandbox escape vulnerability that allows authenticated users to execute OS commands by abusing allowlisted langchain and mammoth modules when ALLOW_BUILTIN_DEP=true. Attackers can submit JavaScript to /api/v1/node-custom-function that

CVSS8.5FlowiseView details

before 3.0.1 contains a remote code execution vulnerability via deprecated Function, Function Item, and LangChain Code nodes running outside task runner isolation. Authenticated users who can create, modify, or import

CVSS8.8n8nView details

SitemapLoader.parse_sitemap in langchain_community/document_loaders/sitemap.py applies the documented restrict_to_same_domain control only to leaf url entries. The loop over url elements filters cross-domain locations, but the loop

CVSS8.6langchain-communityView details
Paper2606.12797v1

The Containment Gap: How Deployed Agentic AI Frameworks Fail Public-Facing Safety Requirements

principles derived from a compositional model of agentic architectures, we audit three dominant frameworks (LangChain, AutoGPT, and OpenAI Agents SDK) and find no native compliance in any of them. Memory

medium relevancetool

LangChain Core has Path Traversal vulnerabilites in legacy `load_prompt` functions

CVSS7.5langchain-coreView details

LangChain is a framework for building LLM-powered applications. Prior to version 1.1.8, a redirect-based Server-Side Request Forgery (SSRF) bypass exists in `RecursiveUrlLoader` in `@langchain/community`. The loader validates

LangChain versions up to and including 0.3.1 contain a regular expression denial-of-service (ReDoS) vulnerability in the MRKLOutputParser.parse() method (libs/langchain/langchain/agents/mrkl/output_parser.py). The parser applies a backtracking-prone regular expression when

CVSS7.5langchainView details
Paper2512.23557v1

Toward Trustworthy Agentic AI: A Multimodal Framework for Preventing Prompt Injection Attacks

Large Language Models (LLMs), Vision-Language Models (VLMs), and new agentic AI systems, like LangChain and GraphChain. Nevertheless, this agentic environment increases the probability of the occurrence of multimodal prompt

high relevancetool

injection vulnerability exists in the langchain-ai/langchain repository, specifically in the LangGraph's SQLite store implementation. The affected version is langgraph-checkpoint-sqlite 2.0.10. The vulnerability arises from improper

CVSS7.3langgraph-checkpoint-sqliteView details
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