| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Spinnaker is an open source, multi-cloud continuous delivery platform. Versions prior to 2025.1.6, 2025.2.3, and 2025.3.0 are vulnerable to server-side request forgery. The primary impact is allowing users to fetch data from a remote URL. This data can be then injected into spinnaker pipelines via helm or other methods to extract things LIKE idmsv1 authentication data. This also includes calling internal spinnaker API's via a get and similar endpoints. Further, depending upon the artifact in question, auth data may be exposed to arbitrary endpoints (e.g. GitHub auth headers) leading to credentials exposure. To trigger this, a spinnaker installation MUST have two things. The first is an artifact enabled that allows user input. This includes GitHub file artifacts, BitBucket, GitLab, HTTP artifacts and similar artifact providers. JUST enabling the http artifact provider will add a "no-auth" http provider that could be used to extract link local data (e.g. AWS Metadata information). The second is a system that can consume the output of these artifacts. e.g. Rosco helm can use this to fetch values data. K8s account manifests if the API returns JSON can be used to inject that data into the pipeline itself though the pipeline would fail. This vulnerability is fixed in versions 2025.1.6, 2025.2.3, and 2025.3.0. As a workaround, disable HTTP account types that allow user input of a given URL. This is probably not feasible in most cases. Git, Docker and other artifact account types with explicit URL configurations bypass this limitation and should be safe as they limit artifact URL loading. Alternatively, use one of the various vendors which provide OPA policies to restrict pipelines from accessing or saving a pipeline with invalid URLs. |
| SSRF vulnerability in M-Files Server products with versions before 22.1.11017.1, in a preview function allowed making queries from the server with certain document types referencing external entities. |
| Portkey.ai Gateway is a blazing fast AI Gateway with integrated guardrails. Prior to 1.14.0, the gateway determined the destination baseURL by prioritizing the value in the x-portkey-custom-host request header. The proxy route then appends the client-specified path to perform an external fetch. This can be maliciously used by users for SSRF attacks. This vulnerability is fixed in 1.14.0. |
| Rhymix before 2.1.24 is vulnerable to Server-Side Request Forgery (SSRF) in the background import data function because XML documents may contain external entities. |
| CVAT is an opensource interactive video and image annotation tool for computer vision. Versions prior to 2.0.0 were found to be subject to a Server-side request forgery (SSRF) vulnerability. Validation has been added to urls used in the affected code path in version 2.0.0. Users are advised to upgrade. There are no known workarounds for this issue. |
| When requests to the internal network for webhooks are enabled, a server-side request forgery vulnerability in GitLab affecting all versions starting from 10.5 was possible to exploit for an unauthenticated attacker even on a GitLab instance where registration is disabled |
| WeasyPrint helps web developers to create PDF documents. Prior to version 68.0, a server-side request forgery (SSRF) protection bypass exists in WeasyPrint's `default_url_fetcher`. The vulnerability allows attackers to access internal network resources (such as `localhost` services or cloud metadata endpoints) even when a developer has implemented a custom `url_fetcher` to block such access. This occurs because the underlying `urllib` library follows HTTP redirects automatically without re-validating the new destination against the developer's security policy. Version 68.0 contains a patch for the issue. |
| Zimbra Collaboration Suite (ZCS) before 8.8.15 Patch 7 allows SSRF when WebEx zimlet is installed and zimlet JSP is enabled. |
| AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to autogpt-platform-beta-v0.6.34, in SendDiscordFileBlock, the third-party library aiohttp.ClientSession().get is used directly to access the URL, but the input URL is not filtered, which will cause SSRF vulnerability. This issue has been patched in autogpt-platform-beta-v0.6.34. |
| AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to autogpt-platform-beta-v0.6.34, in RSSFeedBlock, the third-party library urllib.request.urlopen is used directly to access the URL, but the input URL is not filtered, which will cause SSRF vulnerability. This issue has been patched in autogpt-platform-beta-v0.6.34. |
| Insecure permissions in Hubert Imoveis e Administracao Ltda Hub v2.0 1.27.3 allows authenticated attackers with low-level privileges to access other users' information via a crafted API request. |
| A Server-Side Request Forgery (SSRF) vulnerability in Microsoft Purview allows an authorized attacker to disclose information over a network. |
| Server-side request forgery (ssrf) in Microsoft Dynamics 365 Sales allows an authorized attacker to elevate privileges over a network. |
| Server-Side Request Forgery (SSRF) in Microsoft Power Apps allows an unauthorized attacker to disclose information over a network |
| Webpack is a module bundler. From version 5.49.0 to before 5.104.0, when experiments.buildHttp is enabled, webpack’s HTTP(S) resolver (HttpUriPlugin) enforces allowedUris only for the initial URL, but does not re-validate allowedUris after following HTTP 30x redirects. As a result, an import that appears restricted to a trusted allow-list can be redirected to HTTP(S) URLs outside the allow-list. This is a policy/allow-list bypass that enables build-time SSRF behavior (requests from the build machine to internal-only endpoints, depending on network access) and untrusted content inclusion in build outputs (redirected content is treated as module source and bundled). This issue has been patched in version 5.104.0. |
| Webpack is a module bundler. From version 5.49.0 to before 5.104.1, when experiments.buildHttp is enabled, webpack’s HTTP(S) resolver (HttpUriPlugin) can be bypassed to fetch resources from hosts outside allowedUris by using crafted URLs that include userinfo (username:password@host). If allowedUris enforcement relies on a raw string prefix check (e.g., uri.startsWith(allowed)), a URL that looks allow-listed can pass validation while the actual network request is sent to a different authority/host after URL parsing. This is a policy/allow-list bypass that enables build-time SSRF behavior (outbound requests from the build machine to internal-only endpoints, depending on network access) and untrusted content inclusion (the fetched response is treated as module source and bundled). This issue has been patched in version 5.104.1. |
| Server-side request forgery (ssrf) in Microsoft Office SharePoint allows an authorized attacker to elevate privileges over a network. |
| GitLab has remediated an issue in GitLab EE affecting all versions from 18.0 before 18.6.6, 18.7 before 18.7.4, and 18.8 before 18.8.4 that, under certain conditions could have allowed an authenticated user with certain permissions to make unauthorized requests to internal network services through the GitLab server. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 18.0 before 18.6.6, 18.7 before 18.7.4, and 18.8 before 18.8.4 that, under certain conditions, could have allowed an authenticated user to perform server-side request forgery against internal services by bypassing protections in the Git repository import functionality. |
| IBM Business Automation Workflow containers V25.0.0 through V25.0.0-IF007, V24.0.1 - V24.0.1-IF007, V24.0.0 - V24.0.0-IF007 and IBM Business Automation Workflow traditional V25.0.0, V24.0.1, V24.0.0 is vulnerable to an XML external entity injection (XXE) attack when processing XML data. A remote attacker could exploit this vulnerability to expose sensitive information or consume memory resources. |