LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.get_num_tokens_from_messages() method fetches arbitrary image_url values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Request Forgery (SSRF) attacks by providing malicious image URLs in user input. This vulnerability is fixed in 1.2.11.

LangSmith Client SDKs provide SDK's for interacting with the LangSmith platform. The LangSmith SDK's distributed tracing feature is vulnerable to Server-Side Request Forgery via malicious HTTP headers. An attacker can inject arbitrary api_url values through the baggage header, causing the SDK to exfiltrate sensitive trace data to attacker-controlled endpoints. When using distributed tracing, the SDK parses incoming HTTP headers via RunTree.from_headers() in Python or RunTree.fromHeaders() in Typescript. The baggage header can contain replica configurations including api_url and api_key fields. Prior to the fix, these attacker-controlled values were accepted without validation. When a traced operation completes, the SDK's post() and patch() methods send run data to all configured replica URLs, including any injected by an attacker. This vulnerability is fixed in version 0.6.3 of the Python SDK and 0.4.6 of the JavaScript SDK.

LangChain is a framework for building LLM-powered applications. Prior to 1.1.14, the RecursiveUrlLoader class in @langchain/community is a web crawler that recursively follows links from a starting URL. Its preventOutside option (enabled by default) is intended to restrict crawling to the same site as the base URL. The implementation used String.startsWith() to compare URLs, which does not perform semantic URL validation. An attacker who controls content on a crawled page could include links to domains that share a string prefix with the target, causing the crawler to follow links to attacker-controlled or internal infrastructure. Additionally, the crawler performed no validation against private or reserved IP addresses. A crawled page could include links targeting cloud metadata services, localhost, or RFC 1918 addresses, and the crawler would fetch them without restriction. This vulnerability is fixed in 1.1.14.

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.

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.

With the following crawler configuration: ```python from bs4 import BeautifulSoup as Soup url = "https://example.com" loader = RecursiveUrlLoader( url=url, max_depth=2, extractor=lambda x: Soup(x, "html.parser").text ) docs = loader.load() ``` An attacker in control of the contents of `https://example.com` could place a malicious HTML file in there with links like "https://example.completely.different/my_file.html" and the crawler would proceed to download that file as well even though `prevent_outside=True`. https://github.com/langchain-ai/langchain/blob/bf0b3cc0b5ade1fb95a5b1b6fa260e99064c2e22/libs/community/langchain_community/document_loaders/recursive_url_loader.py#L51-L51 Resolved in https://github.com/langchain-ai/langchain/pull/15559

Server Side Request Forgery vulnerability in Vebto Pixie Image Editor 1.4 and 1.7 allows remote attackers to disclose information or execute arbitrary code via the url parameter to Launderer.php.

Server-side request forgery (ssrf) in Azure Compute Gallery allows an unauthorized attacker to elevate privileges over a network.

Manager-io/Manager is accounting software. A critical unauthenticated full read Server-Side Request Forgery (SSRF) vulnerability has been identified in the proxy handler component of both manager Desktop and Server edition versions up to and including 25.7.18.2519. This vulnerability allows an unauthenticated attacker to bypass network isolation and access restrictions, potentially enabling access to internal services, cloud metadata endpoints, and exfiltration of sensitive data from isolated network segments. This vulnerability is fixed in version 25.7.21.2525.

WireMock is a tool for mocking HTTP services. When certain request URLs like “@127.0.0.1:1234" are used in WireMock Studio configuration fields, the request might be forwarded to an arbitrary service reachable from WireMock’s instance. There are 3 identified potential attack vectors: via “TestRequester” functionality, webhooks and the proxy mode. As we can control HTTP Method, HTTP Headers, HTTP Data, it allows sending requests with the default level of credentials for the WireMock instance. The vendor has discontinued the affected Wiremock studio product and there will be no fix. Users are advised to find alternatives.

Manager-io/Manager is accounting software. In Manager Desktop and Server versions 25.11.1.3085 and below, a critical vulnerability permits unauthorized access to internal network resources. The flaw lies in the fundamental design of the DNS validation mechanism. A Time-of-Check Time-of-Use (TOCTOU) condition that allows attackers to bypass network isolation and access internal services, cloud metadata endpoints, and protected network segments. The Desktop edition requires no authentication; the Server edition requires only standard authentication. This issue is fixed in version 25.11.1.3086.

openHAB, a provider of open-source home automation software, has add-ons including the visualization add-on CometVisu. Prior to version 4.2.1, the proxy endpoint of openHAB's CometVisu add-on can be accessed without authentication. This proxy-feature can be exploited as Server-Side Request Forgery (SSRF) to induce GET HTTP requests to internal-only servers, in case openHAB is exposed in a non-private network. Furthermore, this proxy-feature can also be exploited as a Cross-Site Scripting (XSS) vulnerability, as an attacker is able to re-route a request to their server and return a page with malicious JavaScript code. Since the browser receives this data directly from the openHAB CometVisu UI, this JavaScript code will be executed with the origin of the CometVisu UI. This allows an attacker to exploit call endpoints on an openHAB server even if the openHAB server is located in a private network. (e.g. by sending an openHAB admin a link that proxies malicious JavaScript.) This issue may lead up to Remote Code Execution (RCE) when chained with other vulnerabilities. Users should upgrade to version 4.2.1 of the CometVisu add-on of openHAB to receive a patch.

I Librarian I-librarian version 4.8 and earlier contains a XML External Entity (XXE) vulnerability in line 154 of importmetadata.php(simplexml_load_string) that can result in an attacker reading the contents of a file and SSRF. This attack appear to be exploitable via posting xml in the Parameter form_import_textarea.

Friendica 2021.01 allows SSRF via parse_url?binurl= for DNS lookups or HTTP requests to arbitrary domain names.

TorchServe is a tool for serving and scaling PyTorch models in production. TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and sensitive data. This issue is present in versions 0.1.0 to 0.8.1. A user is able to load the model of their choice from any URL that they would like to use. The user of TorchServe is responsible for configuring both the allowed_urls and specifying the model URL to be used. A pull request to warn the user when the default value for allowed_urls is used has been merged in PR #2534. TorchServe release 0.8.2 includes this change. Users are advised to upgrade. There are no known workarounds for this issue.

This vulnerability could allow an attacker to force the server to create and execute a web request granting access to backend APIs that are only accessible to the Mimosa MMP server, or request pages that could perform some actions themselves. The attacker could force the server into accessing routes on those cloud-hosting platforms, accessing secret keys, changing configurations, etc. Affecting MMP: All versions prior to v1.0.3, PTP C-series: Device versions prior to v2.8.6.1, and PTMP C-series and A5x: Device versions prior to v2.5.4.1.