299 threats tracked across 7 launch stacks — sourced from NVD, GHSA, CISA KEV, OSV, npm Audit, and EPSS.
An issue in langchain v.0.0.171 allows a remote attacker to execute arbitrary code via the via the a json file to the load_prompt parameter. This is related to __subclasses__ or a template.
An issue in llama_index v.0.7.13 and before allows a remote attacker to execute arbitrary code via the exec parameter in PandasQueryEngine function.
An issue in langchain langchain-ai before version 0.0.325 allows a remote attacker to execute arbitrary code via a crafted script to the PythonAstREPLTool._run component.
An issue in Harrison Chase langchain before version 0.0.236 allows a remote attacker to execute arbitrary code via the from_math_prompt and from_colored_object_prompt functions.
An issue in LangChain prior to v.0.0.247 allows a remote attacker to execute arbitrary code via the prompt parameter.
An issue in Harrison Chase langchain allows an attacker to execute arbitrary code via the PALChain,from_math_prompt(llm).run in the python exec method.
An issue in langchain allows a remote attacker to execute arbitrary code via the PALChain parameter in the Python exec method.
An issue in langchain allows an attacker to execute arbitrary code via the PALChain in the python exec method.
Langchain 0.0.171 is vulnerable to Arbitrary code execution in load_prompt.
Langchain before v0.0.225 was discovered to contain a remote code execution (RCE) vulnerability in the component JiraAPIWrapper (aka the JIRA API wrapper). This vulnerability allows attackers to execute arbitrary code via crafted input. As noted in the "releases/tag" reference, a fix is available.
In LangChain through 0.0.131, the LLMMathChain chain allows prompt injection attacks that can execute arbitrary code via the Python exec() method.
Showing 21–31 of 31 threats