Total
1521 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2024-11030 | 2025-03-20 | N/A | 7.7 HIGH | ||
| 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. | |||||
| CVE-2025-27888 | 2025-03-20 | N/A | N/A | ||
| Severity: medium (5.8) / important Server-Side Request Forgery (SSRF), Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'), URL Redirection to Untrusted Site ('Open Redirect') vulnerability in Apache Druid. This issue affects all previous Druid versions. When using the Druid management proxy, a request that has a specially crafted URL could be used to redirect the request to an arbitrary server instead. This has the potential for XSS or XSRF. The user is required to be authenticated for this exploit. The management proxy is enabled in Druid's out-of-box configuration. It may be disabled to mitigate this vulnerability. If the management proxy is disabled, some web console features will not work properly, but core functionality is unaffected. Users are recommended to upgrade to Druid 31.0.2 or Druid 32.0.1, which fixes the issue. | |||||
| CVE-2025-0454 | 2025-03-20 | N/A | 7.5 HIGH | ||
| A Server-Side Request Forgery (SSRF) vulnerability was identified in the Requests utility of significant-gravitas/autogpt versions prior to v0.4.0. The vulnerability arises due to a hostname confusion between the `urlparse` function from the `urllib.parse` library and the `requests` library. A malicious user can exploit this by submitting a specially crafted URL, such as `http://localhost:\@google.com/../`, to bypass the SSRF check and perform an SSRF attack. | |||||
| CVE-2025-0188 | 2025-03-20 | N/A | 6.5 MEDIUM | ||
| A Server-Side Request Forgery (SSRF) vulnerability was discovered in gaizhenbiao/chuanhuchatgpt version 20240914. The vulnerability allows an attacker to construct a response link by saving the response in a folder named after the SHA-1 hash of the target URL. This enables the attacker to access the response directly, potentially leading to unauthorized access to internal systems, data theft, service disruption, or further attacks such as port scanning and accessing metadata endpoints. | |||||
| CVE-2025-0184 | 2025-03-20 | N/A | 6.5 MEDIUM | ||
| A Server-Side Request Forgery (SSRF) vulnerability was identified in langgenius/dify version 0.10.2. The vulnerability occurs in the 'Create Knowledge' section when uploading DOCX files. If an external relationship exists in the DOCX file, the reltype value is requested as a URL using the 'requests' module instead of the 'ssrf_proxy', leading to an SSRF vulnerability. This issue was fixed in version 0.11.0. | |||||
| CVE-2024-9309 | 2025-03-20 | N/A | 9.3 CRITICAL | ||
| A Server-Side Request Forgery (SSRF) vulnerability exists in the POST /worker_generate_stream API endpoint of the Controller API Server in haotian-liu/llava version v1.2.0 (LLaVA-1.6). This vulnerability allows attackers to exploit the victim Controller API Server's credentials to perform unauthorized web actions or access unauthorized web resources. | |||||
| CVE-2024-8099 | 2025-03-20 | N/A | 8.3 HIGH | ||
| A Server-Side Request Forgery (SSRF) vulnerability exists in the latest version of vanna-ai/vanna when using DuckDB as the database. An attacker can exploit this vulnerability by submitting crafted SQL queries that leverage DuckDB's default features, such as `read_csv`, `read_csv_auto`, `read_text`, and `read_blob`, to make unauthorized requests to internal or external resources. This can lead to unauthorized access to sensitive data, internal systems, and potentially further attacks. | |||||
| CVE-2024-7959 | 2025-03-20 | N/A | 7.7 HIGH | ||
| The `/openai/models` endpoint in open-webui/open-webui version 0.3.8 is vulnerable to Server-Side Request Forgery (SSRF). An attacker can change the OpenAI URL to any URL without checks, causing the endpoint to send a request to the specified URL and return the output. This vulnerability allows the attacker to access internal services and potentially gain command execution by accessing instance secrets. | |||||
| CVE-2024-12882 | 2025-03-20 | N/A | 7.5 HIGH | ||
| comfyanonymous/comfyui version v0.2.4 suffers from a non-blind Server-Side Request Forgery (SSRF) vulnerability. This vulnerability can be exploited by combining the REST APIs `POST /internal/models/download` and `GET /view`, allowing attackers to abuse the victim server's credentials to access unauthorized web resources. | |||||
| CVE-2024-12775 | 2025-03-20 | N/A | 6.5 MEDIUM | ||
| 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. | |||||
| CVE-2024-12392 | 2025-03-20 | N/A | 6.5 MEDIUM | ||
| 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. | |||||
| CVE-2024-12376 | 2025-03-20 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2024-12068 | 2025-03-20 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2024-11603 | 2025-03-20 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2024-11449 | 2025-03-20 | N/A | 7.5 HIGH | ||
| 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. | |||||
| CVE-2024-10457 | 2025-03-20 | N/A | 6.5 MEDIUM | ||
| 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. | |||||
| CVE-2025-27777 | 2025-03-19 | N/A | N/A | ||
| 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. | |||||
| CVE-2025-27776 | 2025-03-19 | N/A | N/A | ||
| 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. | |||||
| CVE-2025-27775 | 2025-03-19 | N/A | N/A | ||
| 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. | |||||
| CVE-2025-27774 | 2025-03-19 | N/A | N/A | ||
| 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. | |||||