| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A vulnerability in the web-based management interface of Cisco Unified Intelligence Center could allow an unauthenticated, remote attacker to conduct a server-side request forgery (SSRF) attack through an affected device.
This vulnerability is due to improper input validation for specific HTTP requests. An attacker could exploit this vulnerability by sending a crafted HTTP request to an affected device. A successful exploit could allow the attacker to send arbitrary network requests that are sourced from the affected device. |
| 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. |
| In Eclipse GlassFish since version 6.2.5 it is possible to perform a Server Side Request Forgery attack in specific endpoints. |
| A Server-Side Request Forgery (SSRF) vulnerability exists in the RequestsToolkit component of the langchain-community package (specifically, langchain_community.agent_toolkits.openapi.toolkit.RequestsToolkit) in langchain-ai/langchain version 0.0.27. This vulnerability occurs because the toolkit does not enforce restrictions on requests to remote internet addresses, allowing it to also access local addresses. As a result, an attacker could exploit this flaw to perform port scans, access local services, retrieve instance metadata from cloud environments (e.g., Azure, AWS), and interact with servers on the local network. This issue has been fixed in version 0.0.28. |
| A server-side request forgery vulnerability [CWE-918] in Fortinet FortiClientEMS version 7.4.0 through 7.4.2 and before 7.2.6 may allow an authenticated attacker to perform internal requests via crafted HTTP or HTTPS requests. |
| The Lite UI of Apache ShardingSphere ElasticJob-UI allows an attacker to perform RCE by constructing a special JDBC URL of H2 database. This issue affects Apache ShardingSphere ElasticJob-UI version 3.0.1 and prior versions. This vulnerability has been fixed in ElasticJob-UI 3.0.2.
The premise of this attack is that the attacker has obtained the account and password. Otherwise, the attacker cannot perform this attack. |
| Import functionality is vulnerable to DNS rebinding attacks between verification and processing of the URL. Project administrators can run these imports, which could cause Allura to read from internal services and expose them.
This issue affects Apache Allura from 1.0.1 through 1.16.0.
Users are recommended to upgrade to version 1.17.0, which fixes the issue. If you are unable to upgrade, set "disable_entry_points.allura.importers = forge-tracker, forge-discussion" in your .ini config file.
|
| 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. |
| 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. |
| A Server-Side Request Forgery (SSRF) vulnerability exists in the upload processing interface of gaizhenbiao/ChuanhuChatGPT versions <= ChuanhuChatGPT-20240410-git.zip. This vulnerability allows attackers to send crafted requests from the vulnerable server to internal or external resources, potentially bypassing security controls and accessing sensitive data. |
| SSRF in Ivanti Connect Secure before version 22.7R2.8 and Ivanti Policy Secure before version 22.7R1.5 allows a remote authenticated attacker with admin rights to access internal network services. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| ColdFusion versions 2025.2, 2023.14, 2021.20 and earlier are affected by an XML Injection vulnerability that could lead to arbitrary file system read. An attacker can exploit this issue by injecting crafted XML or XPath queries to access unauthorized files or lead to denial of service. Exploitation of this issue does not require user interaction, and attack must have access to shared secrets. |
| ColdFusion versions 2025.2, 2023.14, 2021.20 and earlier are affected by a Server-Side Request Forgery (SSRF) vulnerability that could lead to arbitrary file system read. A high-privilege authenticated attacker can force the application to make arbitrary requests via injection of URLs. Exploitation of this issue does not require user interaction and scope is changed. The vulnerable component is restricted to internal IP addresses. |
| A vulnerability classified as problematic was found in Musicshelf 1.0/1.1 on Android. Affected by this vulnerability is an unknown functionality of the file io\fabric\sdk\android\services\network\PinningTrustManager.java of the component SHA-1 Handler. The manipulation leads to password hash with insufficient computational effort. It is possible to launch the attack on the physical device. The complexity of an attack is rather high. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used. The identifier VDB-256321 was assigned to this vulnerability. |
