Filtered by vendor Langchain
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Total
23 CVE
CVE | Vendors | Products | Updated | CVSS v3.1 |
---|---|---|---|---|
CVE-2023-36258 | 1 Langchain | 1 Langchain | 2024-11-22 | 9.8 Critical |
An issue in LangChain before 0.0.236 allows an attacker to execute arbitrary code because Python code with os.system, exec, or eval can be used. | ||||
CVE-2024-3095 | 1 Langchain | 1 Langchain | 2024-11-21 | 7.7 High |
A Server-Side Request Forgery (SSRF) vulnerability exists in the Web Research Retriever component of langchain-ai/langchain version 0.1.5. The vulnerability arises because the Web Research Retriever does not restrict requests to remote internet addresses, allowing it to reach local addresses. This flaw enables attackers to execute port scans, access local services, and in some scenarios, read instance metadata from cloud environments. The vulnerability is particularly concerning as it can be exploited to abuse the Web Explorer server as a proxy for web attacks on third parties and interact with servers in the local network, including reading their response data. This could potentially lead to arbitrary code execution, depending on the nature of the local services. The vulnerability is limited to GET requests, as POST requests are not possible, but the impact on confidentiality, integrity, and availability is significant due to the potential for stolen credentials and state-changing interactions with internal APIs. | ||||
CVE-2024-2965 | 1 Langchain | 1 Langchain | 2024-11-21 | 4.7 Medium |
A Denial-of-Service (DoS) vulnerability exists in the `SitemapLoader` class of the `langchain-ai/langchain` repository, affecting all versions. The `parse_sitemap` method, responsible for parsing sitemaps and extracting URLs, lacks a mechanism to prevent infinite recursion when a sitemap URL refers to the current sitemap itself. This oversight allows for the possibility of an infinite loop, leading to a crash by exceeding the maximum recursion depth in Python. This vulnerability can be exploited to occupy server socket/port resources and crash the Python process, impacting the availability of services relying on this functionality. | ||||
CVE-2024-21513 | 1 Langchain | 2 Langchain-experimental, Langchain Experimental | 2024-11-21 | 8.5 High |
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' on all values. An attacker can exploit this vulnerability and execute arbitrary python code if they can control the input prompt and the server is configured with VectorSQLDatabaseChain. **Notes:** Impact on the Confidentiality, Integrity and Availability of the vulnerable component: Confidentiality: Code execution happens within the impacted component, in this case langchain-experimental, so all resources are necessarily accessible. Integrity: There is nothing protected by the impacted component inherently. Although anything returned from the component counts as 'information' for which the trustworthiness can be compromised. Availability: The loss of availability isn't caused by the attack itself, but it happens as a result during the attacker's post-exploitation steps. Impact on the Confidentiality, Integrity and Availability of the subsequent system: As a legitimate low-privileged user of the package (PR:L) the attacker does not have more access to data owned by the package as a result of this vulnerability than they did with normal usage (e.g. can query the DB). The unintended action that one can perform by breaking out of the app environment and exfiltrating files, making remote connections etc. happens during the post exploitation phase in the subsequent system - in this case, the OS. AT:P: An attacker needs to be able to influence the input prompt, whilst the server is configured with the VectorSQLDatabaseChain plugin. | ||||
CVE-2023-46229 | 1 Langchain | 1 Langchain | 2024-11-21 | 8.8 High |
LangChain before 0.0.317 allows SSRF via document_loaders/recursive_url_loader.py because crawling can proceed from an external server to an internal server. | ||||
CVE-2023-44467 | 1 Langchain | 1 Langchain Experimental | 2024-11-21 | 9.8 Critical |
langchain_experimental (aka LangChain Experimental) in LangChain before 0.0.306 allows an attacker to bypass the CVE-2023-36258 fix and execute arbitrary code via __import__ in Python code, which is not prohibited by pal_chain/base.py. | ||||
CVE-2023-39659 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
An issue in langchain langchain-ai v.0.0.232 and before allows a remote attacker to execute arbitrary code via a crafted script to the PythonAstREPLTool._run component. | ||||
CVE-2023-39631 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
An issue in LanChain-ai Langchain v.0.0.245 allows a remote attacker to execute arbitrary code via the evaluate function in the numexpr library. | ||||
CVE-2023-38896 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
An issue in Harrison Chase langchain v.0.0.194 and before allows a remote attacker to execute arbitrary code via the from_math_prompt and from_colored_object_prompt functions. | ||||
CVE-2023-38860 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
An issue in LangChain v.0.0.231 allows a remote attacker to execute arbitrary code via the prompt parameter. | ||||
CVE-2023-36281 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
An issue in langchain v.0.0.171 allows a remote attacker to execute arbitrary code via a JSON file to load_prompt. This is related to __subclasses__ or a template. | ||||
CVE-2023-36189 | 1 Langchain | 1 Langchain | 2024-11-21 | 7.5 High |
SQL injection vulnerability in langchain before v0.0.247 allows a remote attacker to obtain sensitive information via the SQLDatabaseChain component. | ||||
CVE-2023-36188 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
An issue in langchain v.0.0.64 allows a remote attacker to execute arbitrary code via the PALChain parameter in the Python exec method. | ||||
CVE-2023-36095 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
An issue in Harrison Chase langchain v.0.0.194 allows an attacker to execute arbitrary code via the python exec calls in the PALChain, affected functions include from_math_prompt and from_colored_object_prompt. | ||||
CVE-2023-34541 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
Langchain 0.0.171 is vulnerable to Arbitrary code execution in load_prompt. | ||||
CVE-2023-34540 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
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. | ||||
CVE-2023-32786 | 1 Langchain | 1 Langchain | 2024-11-21 | 7.5 High |
In Langchain through 0.0.155, prompt injection allows an attacker to force the service to retrieve data from an arbitrary URL, essentially providing SSRF and potentially injecting content into downstream tasks. | ||||
CVE-2023-29374 | 1 Langchain | 1 Langchain | 2024-11-21 | 9.8 Critical |
In LangChain through 0.0.131, the LLMMathChain chain allows prompt injection attacks that can execute arbitrary code via the Python exec method. | ||||
CVE-2024-8309 | 2 Langchain, Langchain-ai | 2 Langchain, Langchain | 2024-11-01 | 9.8 Critical |
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. | ||||
CVE-2024-7042 | 2 Langchain, Langchain-ai | 2 Langchain, Langchainjs | 2024-10-31 | 9.8 Critical |
A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. |