| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A vulnerability in significant-gravitas/autogpt version 0.5.1 allows an attacker to bypass the shell commands denylist settings. The issue arises when the denylist is configured to block specific commands, such as 'whoami' and '/bin/whoami'. An attacker can circumvent this restriction by executing commands with a modified path, such as '/bin/./whoami', which is not recognized by the denylist. |
| Cross-site scripting vulnerability in Cybozu Garoon 5.0.0 to 5.15.2 allows a remote authenticated attacker with an administrative privilege to inject an arbitrary script on the web browser of the user who is logging in to the product. |
| SQL injection vulnerability in Human Resource Management System version 1.0, which allows an attacker to retrieve, create, update and delete databases via the “city” and “state” parameters in the /controller/ccity.php endpoint. |
| Sandboxie is a sandbox-based isolation software for 32-bit and 64-bit Windows NT-based operating systems. An authenticated user (**UserA**) with no privileges is authorized to read all files created in sandbox belonging to other users in the sandbox folders `C:\Sandbox\UserB\xxx`. An authenticated attacker who can use `explorer.exe` or `cmd.exe` outside any sandbox can read other users' files in `C:\Sandbox\xxx`. By default in Windows 7+, the `C:\Users\UserA` folder is not readable by **UserB**.
All files edited or created during the sandbox processing are affected by the vulnerability. All files in C:\Users are safe. If `UserB` runs a cmd in a sandbox, he will be able to access `C:\Sandox\UserA`. In addition, if **UserB** create a folder `C:\Sandbox\UserA` with malicious ACLs, when **UserA** will user the sandbox, Sandboxie doesn't reset ACLs ! This issue has not yet been fixed. Users are advised to limit access to their systems using Sandboxie. |
| com_line() in command.c in gnuplot 5.4 leads to an out-of-bounds-write from strncpy() that may lead to arbitrary code execution. |
| CyberPower PowerPanel business
application code contains a hard-coded JWT signing key. This could
result in an attacker forging JWT tokens to bypass authentication. |
| CyberPower PowerPanel business application code contains a hard-coded set of authentication
credentials. This could result in an attacker bypassing authentication
and gaining administrator privileges. |
| The ObjectSerializationDecoder in Apache MINA uses Java’s native deserialization protocol to process
incoming serialized data but lacks the necessary security checks and defenses. This vulnerability allows
attackers to exploit the deserialization process by sending specially crafted malicious serialized data,
potentially leading to remote code execution (RCE) attacks.
This issue affects MINA core versions 2.0.X, 2.1.X and 2.2.X, and will be fixed by the releases 2.0.27, 2.1.10 and 2.2.4.
It's also important to note that an application using MINA core library will only be affected if the IoBuffer#getObject() method is called, and this specific method is potentially called when adding a ProtocolCodecFilter instance using the ObjectSerializationCodecFactory class in the filter chain. If your application is specifically using those classes, you have to upgrade to the latest version of MINA core library.
Upgrading will not be enough: you also need to explicitly allow the classes the decoder will accept in the ObjectSerializationDecoder instance, using one of the three new methods:
/**
* Accept class names where the supplied ClassNameMatcher matches for
* deserialization, unless they are otherwise rejected.
*
* @param classNameMatcher the matcher to use
*/
public void accept(ClassNameMatcher classNameMatcher)
/**
* Accept class names that match the supplied pattern for
* deserialization, unless they are otherwise rejected.
*
* @param pattern standard Java regexp
*/
public void accept(Pattern pattern)
/**
* Accept the wildcard specified classes for deserialization,
* unless they are otherwise rejected.
*
* @param patterns Wildcard file name patterns as defined by
* {@link org.apache.commons.io.FilenameUtils#wildcardMatch(String, String) FilenameUtils.wildcardMatch}
*/
public void accept(String... patterns)
By default, the decoder will reject *all* classes that will be present in the incoming data.
Note: The FtpServer, SSHd and Vysper sub-project are not affected by this issue. |
| Conda-build contains commands and tools to build conda packages. Prior to version 25.3.0, the pyproject.toml lists conda-index as a Python dependency. This package is not published in PyPI. An attacker could claim this namespace and upload arbitrary (malicious) code to the package, and then exploit pip install commands by injecting the malicious dependency in the solve. This issue has been fixed in version 25.3.0. A workaround involves using --no-deps for pip install-ing the project from the repository. |
| Langroid is a framework for building large-language-model-powered applications. Prior to version 0.53.4, a LLM application leveraging `XMLToolMessage` class may be exposed to untrusted XML input that could result in DoS and/or exposing local files with sensitive information. Version 0.53.4 fixes the issue. |
| GoCD is a continuous deliver server. GoCD versions prior to 24.5.0 are vulnerable to admin privilege escalation due to improper authorization of access to the admin "Configuration XML" UI feature, and its associated API. A malicious insider/existing authenticated GoCD user with an existing GoCD user account could abuse this vulnerability to access information intended only for GoCD admins, or to escalate their privileges to that of a GoCD admin in a persistent manner. it is not possible for this vulnerability to be abused prior to authentication/login. The issue is fixed in GoCD 24.5.0. GoCD users who are not able to immediate upgrade can mitigate this issue by using a reverse proxy, WAF or similar to externally block access paths with a `/go/rails/` prefix. Blocking this route causes no loss of functionality. If it is not possible to upgrade or block the above route, consider reducing the GoCD user base to more trusted set of users, including temporarily disabling use of plugins such as the guest-login-plugin, which allow limited anonymous access as a regular user account. |
| Beego is an open-source web framework for the Go programming language. Prior to 2.3.6, a Cross-Site Scripting (XSS) vulnerability exists in Beego's RenderForm() function due to improper HTML escaping of user-controlled data. This vulnerability allows attackers to inject malicious JavaScript code that executes in victims' browsers, potentially leading to session hijacking, credential theft, or account takeover. The vulnerability affects any application using Beego's RenderForm() function with user-provided data. Since it is a high-level function generating an entire form markup, many developers would assume it automatically escapes attributes (the way most frameworks do). This vulnerability is fixed in 2.3.6. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to command injection. The variables exp_dir1, np7, trainset_dir4 and sr2 take user input and pass it to the preprocess_dataset function, which concatenates them into a command that is run on the server. This can lead to arbitrary command execution. As of time of publication, no known patches exist. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to command injection. The variables exp_dir1, np7 and f0method8 take user input and pass it into the extract_f0_feature function, which concatenates them into a command that is run on the server. This can lead to arbitrary command execution. As of time of publication, no known patches exist. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to command injection. The variables exp_dir1, among others, take user input and pass it to the click_train function, which concatenates them into a command that is run on the server. This can lead to arbitrary command execution. As of time of publication, no known patches exist. |
| 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. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The ckpt_path1 variable takes user input (e.g. a path to a model) and passes it to the show_info function in process_ckpt.py, which uses it to load the model on that path with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The ckpt_path2 variable takes user input (e.g. a path to a model) and passes it to the extract_small_model function in process_ckpt.py, which uses it to load the model on that path with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The ckpt_path0 variable takes user input (e.g. a path to a model) and passes it to the change_info function in process_ckpt.py, which uses it to load the model on that path with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist. |
| Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The ckpt_a and cpkt_b variables take user input (e.g. a path to a model) and pass it to the merge function in process_ckpt.py, which uses them to load the models on those paths with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist. |
