| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| MaxKB is an open-source AI assistant for enterprise. Prior to versions 1.10.9-lts and 2.0.0, a Remote Command Execution vulnerability exists in the MCP call. Versions 1.10.9-lts and 2.0.0 fix the issue. |
| MaxKB is an open-source AI assistant for enterprise. Prior to version 2.0.0, the sandbox design rules can be bypassed because MaxKB only restricts the execution permissions of files in a specific directory. Therefore, an attacker can use the `shutil.copy2` method in Python to copy the command they want to execute to the executable directory. This bypasses directory restrictions and reverse shell. Version 2.0.0 fixes the issue. |
| A vulnerability was found in CodeCanyon RISE Ultimate Project Manager 3.8.2 and classified as problematic. Affected by this issue is some unknown functionality of the file /index.php/team_members/save_profile_image/ of the component Profile Picture Handler. The manipulation of the argument profile_image_file leads to improper control of resource identifiers. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. |
| MaxKB (Max Knowledge Base) is an open source knowledge base question-answering system based on a large language model and retrieval-augmented generation (RAG). A reverse shell vulnerability exists in the module of function library. The vulnerability allow privileged users to create a reverse shell. This vulnerability is fixed in v1.10.4-lts. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to code injection. The ckpt_path2 variable takes user input (e.g. a path to a model) and passes it to change_info_ function, which opens and reads the file on the given path (except it changes the final on the path to train.log), and passes the contents of the file to eval, which can lead to remote code execution. As of time of publication, no known patches exist. |
| The Macrovision InstallShield InstallScript One-Click Install (OCI) ActiveX control 12.0 before SP2 does not validate the DLL files that are named as parameters to the control, which allows remote attackers to download arbitrary library code onto a client machine. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| A vulnerability classified as problematic was found in Lobby Universe Lobby App up to 2.8.0 on Android. Affected by this vulnerability is an unknown functionality of the file AndroidManifest.xml of the component com.maverick.lobby. The manipulation leads to improper export of android application components. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used. |
| A vulnerability was found in Roothub up to 2.6. It has been declared as problematic. Affected by this vulnerability is the function Edit of the file src/main/java/cn/roothub/web/admin/SystemConfigAdminController.java. The manipulation leads to cross site scripting. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. |
| A vulnerability was found in Canara ai1 Mobile Banking App 3.6.23 on Android and classified as problematic. This issue affects some unknown processing of the file AndroidManifest.xml of the component com.canarabank.mobility. The manipulation leads to improper export of android application components. Local access is required to approach this attack. 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. |
| A vulnerability, which was classified as problematic, was found in Comodo Dragon up to 134.0.6998.179. This affects an unknown part of the component IP DNS Leakage Detector. The manipulation leads to cross site scripting. It is possible to initiate the attack remotely. The complexity of an attack is rather high. The exploitability is told to be difficult. 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. |
| The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading. |
| A vulnerability in the Eclipse Open VSX Registry’s automated publishing system could have allowed unauthorized uploads of extensions. Specifically, the system’s build scripts were executed without proper isolation, potentially exposing a privileged token. This token enabled the publishing of new extension versions under any namespace, including those not controlled by an attacker. However, it did not permit deletion of existing extensions, overwriting of published versions, or access to administrative features of the registry.
The issue was reported on May 4, 2025, fully resolved by June 24, and followed by a comprehensive audit. No evidence of compromise was found, though 81 extensions were proactively deactivated as a precaution. The standard publishing process remained unaffected. Recommendations have been issued to mitigate similar risks in the future. |
| A vulnerability in the web-based management interface of Cisco Smart Software Manager On-Prem could allow an authenticated, remote attacker to elevate privileges on an affected system.
This vulnerability is due to inadequate protection of sensitive user information. An attacker could exploit this vulnerability by accessing certain logs on an affected system. A successful exploit could allow the attacker to use the obtained information to elevate privileges to System Admin.Cisco has released software updates that address this vulnerability. There are no workarounds that address this vulnerability. |
| 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. |
