Server-Side Request Forgery (SSRF)

langgenius/dify version 0.10.1 contains a Server-Side Request Forgery (SSRF) vulnerability in the test functionality for the Create Custom Tool option via the REST API `POST /console/api/workspaces/current/tool-provider/api/test/pre`. Attackers can set the `url` in the `servers` dictionary in OpenAI's schema with arbitrary URL targets, allowing them to abuse the victim server's credentials to access unauthorized web resources.Show less

parisneo/lollms-webui version V13 (feather) suffers from a Server-Side Request Forgery (SSRF) vulnerability in the `POST /api/proxy` REST API. Attackers can exploit this vulnerability to abuse the victim server's credentials to access unauthorized web resources by specifying the JSON parameter `{"url":"http://steal.target"}`. Existing security mechanisms such as `forbid_remote_access(lollmsElfServer)`, `lollmsElfServer.config.headless_server_mode`, and `check_access(lollmsElfServer, request.client_id)` do not protect against this vulnerability.Show less

In infiniflow/ragflow versions 0.12.0, the `web_crawl` function in `document_app.py` contains multiple vulnerabilities. The function does not filter URL parameters, allowing attackers to exploit Full Read SSRF by accessing internal network addresses and viewing their content through the generated PDF files. Additionally, the lack of restrictions on the file protocol enables Arbitrary File Read, allowing attackers to read server files. Furthermore, the use of an outdated Chromium headless version with --no-sandbox mode enabled makes the application susceptible to Remote Code Execution (RCE) via known Chromium v8 vulnerabilities. These issues are resolved in version 0.14.0.Show less

A Server-Side Request Forgery (SSRF) vulnerability exists in binary-husky/gpt_academic version git 310122f. The application has a functionality to download papers from arxiv.org, but the URL validation is incomplete. An attacker can exploit this vulnerability to make the application access any URL, including internal services, and read the response. This can be used to access data that are only accessible from the server, such as AWS metadata credentials, and can escalate local exploits to network-based attacks.Show less

A Server-Side Request Forgery (SSRF) vulnerability was identified in the lm-sys/fastchat web server, specifically in the affected version git 2c68a13. This vulnerability allows an attacker to access internal server resources and data that are otherwise inaccessible, such as AWS metadata credentials.Show less

A Server-Side Request Forgery (SSRF) vulnerability was discovered in haotian-liu/llava, affecting version git c121f04. This vulnerability allows an attacker to make the server perform HTTP requests to arbitrary URLs, potentially accessing sensitive data that is only accessible from the server, such as AWS metadata credentials.Show less

langgenius/dify version 0.9.1 contains a Server-Side Request Forgery (SSRF) vulnerability. The vulnerability exists due to improper handling of the api_endpoint parameter, allowing an attacker to make direct requests to internal network services. This can lead to unauthorized access to internal servers and potentially expose sensitive information, including access to the AWS metadata endpoint.Show less

A Server-Side Request Forgery (SSRF) vulnerability exists in lm-sys/fastchat version 0.2.36. The vulnerability is present in the `/queue/join?` endpoint, where insufficient validation of the path parameter allows an attacker to send crafted requests. This can lead to unauthorized access to internal networks or the AWS metadata endpoint, potentially exposing sensitive data and compromising internal servers.Show less

A vulnerability in haotian-liu/llava version 1.2.0 (LLaVA-1.6) allows for Server-Side Request Forgery (SSRF) through the /run/predict endpoint. An attacker can gain unauthorized access to internal networks or the AWS metadata endpoint by sending crafted requests that exploit insufficient validation of the path parameter. This flaw can lead to unauthorized network access, sensitive data exposure, and further exploitation within the network.Show less

In version 3.83 of binary-husky/gpt_academic, a Server-Side Request Forgery (SSRF) vulnerability exists in the Markdown_Translate.get_files_from_everything() API. This vulnerability is exploited through the HotReload(Markdown翻译中) plugin function, which allows downloading arbitrary web hosts by only checking if the link starts with 'http'. Attackers can exploit this vulnerability to abuse the victim GPT Academic's Gradio Web server's credentials to access unauthorized web resources.Show less

GPT Academic version 3.83 is vulnerable to a Server-Side Request Forgery (SSRF) vulnerability through its HotReload plugin function, which calls the crazy_utils.get_files_from_everything() API without proper sanitization. This allows attackers to exploit the vulnerability to abuse the victim GPT Academic's Gradio Web server's credentials to access unauthorized web resources.Show less

Multiple Server-Side Request Forgery (SSRF) vulnerabilities were identified in the significant-gravitas/autogpt repository, specifically in the GitHub Integration and Web Search blocks. These vulnerabilities affect version agpt-platform-beta-v0.1.1. The issues arise when block inputs are controlled by untrusted sources, leading to potential credential leakage, internal network scanning, and unauthorized access to internal services, APIs, or data stores. The affected blocks include GithubListPullRequestsBlock, GithubReadPullRequestBlock, GithubAssignPRReviewerBlock, GithubListPRReviewersBlock, GithubUnassignPRReviewerBlock, GithubCommentBlock, GithubMakeIssueBlock, GithubReadIssueBlock, GithubListIssuesBlock, GithubAddLabelBlock, GithubRemoveLabelBlock, GithubListBranchesBlock, and ExtractWebsiteContentBlock.Show less

Applio is a voice conversion tool. Versions 3.2.7 and prior are vulnerable to server-side request forgery (SSRF) in `model_download.py` (line 195 in 3.2.7). The blind SSRF allows for sending requests on behalf of Applio server and can be leveraged to probe for other vulnerabilities on the server itself or on other back-end systems on the internal network, that the Applio server can reach. The blind SSRF can also be coupled with a arbitrary file read (e.g., CVE-2025-27784) to read files from hosts on the internal network, that the Applio server can reach, which would make it a full SSRF. As of time of publication, no known patches are available.Show less

Applio is a voice conversion tool. Versions 3.2.7 and prior are vulnerable to server-side request forgery (SSRF) and file write in `model_download.py` (line 240 in 3.2.7). The blind SSRF allows for sending requests on behalf of Applio server and can be leveraged to probe for other vulnerabilities on the server itself or on other back-end systems on the internal network, that the Applio server can reach. The blind SSRF can also be coupled with the arbitrary file read CVE-2025-27784 to read files from hosts on the internal network, that the Applio server can reach, which would make it a full SSRF. The file write allows for writing files on the server, which can be coupled with other vulnerabilities, for example an unsafe deserialization, to achieve remote code execution on the Applio server. As of time of publication, no known patches are available.Show less

Applio is a voice conversion tool. Versions 3.2.7 and prior are vulnerable to server-side request forgery (SSRF) and file write in `model_download.py` (line 143 in 3.2.7). The blind SSRF allows for sending requests on behalf of Applio server and can be leveraged to probe for other vulnerabilities on the server itself or on other back-end systems on the internal network, that the Applio server can reach. The file write allows for writing files on the server, which can be coupled with other vulnerabilities, for example an unsafe deserialization, to achieve remote code execution on the Applio server. As of time of publication, no known patches are available.Show less

Applio is a voice conversion tool. Versions 3.2.7 and prior are vulnerable to server-side request forgery (SSRF) and file write in `model_download.py` (line 156 in 3.2.7). The blind SSRF allows for sending requests on behalf of Applio server and can be leveraged to probe for other vulnerabilities on the server itself or on other back-end systems on the internal network, that the Applio server can reach. The blind SSRF can also be coupled with the an arbitrary file read (e.g., CVE-2025-27784) to read files from hosts on the internal network, that the Applio server can reach, which would make it a full SSRF. The file write allows for writing files on the server, which can be coupled with other vulnerabilities, for example an unsafe deserialization, to achieve remote code execution on the Applio server. As of time of publication, no known patches are available.Show less

IBM QRadar Advisor 1.0.0 through 2.6.5 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks.Show less

Dell SmartFabric OS10 Software, version(s) 10.5.4.x, 10.5.5.x, 10.5.6.x, 10.6.0.x, contain(s) a Server-Side Request Forgery (SSRF) vulnerability. A high privileged attacker with remote access could potentially exploit this vulnerability, leading to Server-side request forgery.Show less

The Uncanny Automator – Easy Automation, Integration, Webhooks & Workflow Builder Plugin plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 6.2 via the 'call_webhook' method of the Automator_Send_Webhook class This makes it possible for authenticated attackers, with Administrator-level access and above, to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services.Show less

A vulnerability, which was classified as problematic, was found in Stoque Zeev.it 4.24. This affects an unknown part of the file /Login?inpLostSession=1 of the component Login Page. The manipulation of the argument inpRedirectURL leads to server-side request forgery. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.Show less