Total
1690 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-31490 | 1 Agpt | 1 Autogpt Platform | 2025-08-05 | 7.5 High |
| AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to 0.6.1, AutoGPT allows SSRF due to DNS Rebinding in requests wrapper. AutoGPT is built with a wrapper around Python's requests library, hardening the application against SSRF. The code for this wrapper can be found in autogpt_platform/backend/backend/util/request.py. The requested hostname of a URL which is being requested is validated, ensuring that it does not resolve to any local ipv4 or ipv6 addresses. However, this check is not sufficient, as a DNS server may initially respond with a non-blocked address, with a TTL of 0. This means that the initial resolution would appear as a non-blocked address. In this case, validate_url() will return the url as successful. After validate_url() has successfully returned the url, the url is then passed to the real request() function. When the real request() function is called with the validated url, request() will once again resolve the address of the hostname, because the record will not have been cached (due to TTL 0). This resolution may be in the "invalid range". This type of attack is called a "DNS Rebinding Attack". This vulnerability is fixed in 0.6.1. | ||||
| CVE-2025-0454 | 2 Agpt, Significant-gravitas | 2 Autogpt Platform, Autogpt | 2025-08-05 | 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-2025-8520 | 1 Givanz | 1 Vvveb | 2025-08-05 | 4.7 Medium |
| A vulnerability classified as critical was found in givanz Vvveb up to 1.0.5. This vulnerability affects unknown code of the file /vadmin123/?module=editor/editor of the component Drag-and-Drop Editor. The manipulation of the argument url leads to server-side request forgery. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 1.0.6 is able to address this issue. The patch is identified as f684f3e374d04db715730fc4796e102f5ebcacb2. It is recommended to upgrade the affected component. | ||||
| CVE-2025-54381 | 1 Bentoml | 1 Bentoml | 2025-08-05 | 9.9 Critical |
| BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.0 until 1.4.19, the file upload processing system contains an SSRF vulnerability that allows unauthenticated remote attackers to force the server to make arbitrary HTTP requests. The vulnerability stems from the multipart form data and JSON request handlers, which automatically download files from user-provided URLs without validating whether those URLs point to internal network addresses, cloud metadata endpoints, or other restricted resources. The documentation explicitly promotes this URL-based file upload feature, making it an intended design that exposes all deployed services to SSRF attacks by default. Version 1.4.19 contains a patch for the issue. | ||||
| CVE-2025-8527 | 1 Xboot Project | 1 Xboot | 2025-08-05 | 6.3 Medium |
| A vulnerability was found in Exrick xboot up to 3.3.4. It has been rated as critical. This issue affects some unknown processing of the file xboot-fast/src/main/java/cn/exrick/xboot/modules/base/controller/common/SecurityController.java of the component Swagger. The manipulation of the argument loginUrl leads to server-side request forgery. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. | ||||
| CVE-2025-8529 | 1 Favorites-web Project | 1 Favorites-web | 2025-08-05 | 6.3 Medium |
| A vulnerability classified as critical was found in cloudfavorites favorites-web up to 1.3.0. Affected by this vulnerability is the function getCollectLogoUrl of the file app/src/main/java/com/favorites/web/CollectController.java. The manipulation of the argument url leads to server-side request forgery. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. | ||||
| CVE-2025-8341 | 1 Grafana | 2 Grafana, Infinity Datasource | 2025-08-05 | 5 Medium |
| Grafana is an open-source platform for monitoring and observability. The Infinity datasource plugin, maintained by Grafana Labs, allows visualizing data from JSON, CSV, XML, GraphQL, and HTML endpoints. If the plugin was configured to allow only certain URLs, an attacker could bypass this restriction using a specially crafted URL. This vulnerability is fixed in version 3.4.1. | ||||
| CVE-2025-52567 | 1 Glpi-project | 1 Glpi | 2025-08-04 | 3.5 Low |
| GLPI is a Free Asset and IT Management Software package, Data center management, ITIL Service Desk, licenses tracking and software auditing. In versions 0.84 through 10.0.18, usage of RSS feeds or external calendars when planning is subject to SSRF exploit. The previous security patches provided since GLPI 10.0.4 were not robust enough for certain specific cases. This is fixed in version 10.0.19. | ||||
| CVE-2025-54132 | 1 Cursor | 1 Cursor | 2025-08-04 | 4.4 Medium |
| Cursor is a code editor built for programming with AI. In versions below 1.3, Mermaid (which is used to render diagrams) allows embedding images which then get rendered by Cursor in the chat box. An attacker can use this to exfiltrate sensitive information to a third-party attacker controlled server through an image fetch after successfully performing a prompt injection. A malicious model (or hallucination/backdoor) might also trigger this exploit at will. This issue requires prompt injection from malicious data (web, image upload, source code) in order to exploit. In that case, it can send sensitive information to an attacker-controlled external server. This is fixed in version 1.3. | ||||
| CVE-2024-52598 | 2 2fauth, Bubka | 2 2fauth, 2fauth | 2025-08-04 | 7.5 High |
| 2FAuth is a web app to manage Two-Factor Authentication (2FA) accounts and generate their security codes. Two interconnected vulnerabilities exist in version 5.4.1 a SSRF and URI validation bypass issue. The endpoint at POST /api/v1/twofaccounts/preview allows setting a remote URI to retrieve the image of a 2fa site. By abusing this functionality, it is possible to force the application to make a GET request to an arbitrary URL, whose content will be stored in an image file in the server if it looks like an image. Additionally, the library does some basic validation on the URI, attempting to filter our URIs which do not have an image extension. However, this can be easily bypassed by appending the string `#.svg` to the URI. The combination of these two issues allows an attacker to retrieve URIs accessible from the application, as long as their content type is text based. If not, the request is still sent, but the response is not reflected to the attacker. Version 5.4.1 fixes the issues. | ||||
| CVE-2025-54590 | 2025-08-04 | N/A | ||
| webfinger.js is a TypeScript-based WebFinger client that runs in both browsers and Node.js environments. In versions 2.8.0 and below, the lookup function accepts user addresses for account checking. However, the ActivityPub specification requires preventing access to localhost services in production. This library does not prevent localhost access, only checking for hosts that start with "localhost" and end with a port. Users can exploit this by creating servers that send GET requests with controlled host, path, and port parameters to query services on the instance's host or local network, enabling blind SSRF attacks. This is fixed in version 2.8.1. | ||||
| CVE-2025-8228 | 1 Yanyutao0402 | 1 Chancms | 2025-08-01 | 6.3 Medium |
| A vulnerability was found in yanyutao0402 ChanCMS up to 3.1.2. It has been rated as critical. Affected by this issue is the function getPages of the file /cms/collect/getPages. The manipulation of the argument targetUrl leads to server-side request forgery. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 3.1.3 is able to address this issue. It is recommended to upgrade the affected component. | ||||
| CVE-2024-1978 | 1 Alex.kirk | 1 Friends | 2025-08-01 | 5.5 Medium |
| The Friends plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 2.8.5 via the discover_available_feeds function. 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. | ||||
| CVE-2024-12882 | 1 Comfy | 1 Comfyui | 2025-08-01 | N/A |
| 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-2025-27774 | 1 Applio | 1 Applio | 2025-08-01 | 5.3 Medium |
| 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. | ||||
| CVE-2025-27775 | 1 Applio | 1 Applio | 2025-08-01 | 5.3 Medium |
| 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-2025-27776 | 1 Applio | 1 Applio | 2025-08-01 | 5.3 Medium |
| 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-2025-27777 | 1 Applio | 1 Applio | 2025-08-01 | 7.5 High |
| 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-2024-12392 | 1 Binary-husky | 1 Gpt Academic | 2025-07-31 | N/A |
| 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 | 1 Lm-sys | 1 Fastchat | 2025-07-31 | N/A |
| 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. | ||||