A path traversal and arbitrary file upload vulnerability exists in the parisneo/lollms-webui application, specifically within the `@router.get("/switch_personal_path")` endpoint in `./lollms-webui/lollms_core/lollms/server/endpoints/lollms_user.py`. The vulnerability arises due to insufficient sanitization of user-supplied input for the `path` parameter, allowing an attacker to specify arbitrary file system paths. This flaw enables direct arbitrary file uploads, leakage of `personal_data`, and overwriting of configurations in `lollms-webui`->`configs` by exploiting the same named directory in `personal_data`. The issue affects the latest version of the application and is fixed in version 9.4. Successful exploitation could lead to sensitive information disclosure, unauthorized file uploads, and potentially remote code execution by overwriting critical configuration files.

A path traversal vulnerability exists in the parisneo/lollms-webui application, specifically within the `lollms_core/lollms/server/endpoints/lollms_binding_files_server.py` and `lollms_core/lollms/security.py` files. Due to inadequate validation of file paths between Windows and Linux environments using `Path(path).is_absolute()`, attackers can exploit this flaw to read any file on the system. This issue affects the latest version of LoLLMs running on the Windows platform. The vulnerability is triggered when an attacker sends a specially crafted request to the `/user_infos/{path:path}` endpoint, allowing the reading of arbitrary files, as demonstrated with the `win.ini` file. The issue has been addressed in version 9.5 of the software.

A clickjacking vulnerability exists in zenml-io/zenml versions up to and including 0.55.5 due to the application's failure to set appropriate X-Frame-Options or Content-Security-Policy HTTP headers. This vulnerability allows an attacker to embed the application UI within an iframe on a malicious page, potentially leading to unauthorized actions by tricking users into interacting with the interface under the attacker's control. The issue was addressed in version 0.56.3.

A path traversal vulnerability exists in the parisneo/lollms-webui version 9.3 on the Windows platform. Due to improper validation of file paths between Windows and Linux environments, an attacker can exploit this vulnerability to delete any file on the system. The issue arises from the lack of adequate sanitization of user-supplied input in the 'del_preset' endpoint, where the application fails to prevent the use of absolute paths or directory traversal sequences ('..'). As a result, an attacker can send a specially crafted request to the 'del_preset' endpoint to delete files outside of the intended directory.

parisneo/lollms-webui is vulnerable to path traversal attacks that can lead to remote code execution due to insufficient sanitization of user-supplied input in the 'Database path' and 'PDF LaTeX path' settings. An attacker can exploit this vulnerability by manipulating these settings to execute arbitrary code on the targeted server. The issue affects the latest version of the software. The vulnerability stems from the application's handling of the 'discussion_db_name' and 'pdf_latex_path' parameters, which do not properly validate file paths, allowing for directory traversal. This vulnerability can also lead to further file exposure and other attack vectors by manipulating the 'discussion_db_name' parameter.

A vulnerability in the parisneo/lollms-webui version 9.3 allows attackers to bypass intended access restrictions and execute arbitrary code. The issue arises from the application's handling of the `/execute_code` endpoint, which is intended to be blocked from external access by default. However, attackers can exploit the `/update_setting` endpoint, which lacks proper access control, to modify the `host` configuration at runtime. By changing the `host` setting to an attacker-controlled value, the restriction on the `/execute_code` endpoint can be bypassed, leading to remote code execution. This vulnerability is due to improper neutralization of special elements used in an OS command (`Improper Neutralization of Special Elements used in an OS Command`).

A Cross-Site Request Forgery (CSRF) vulnerability exists in the profile picture upload functionality of the Lollms application, specifically in the parisneo/lollms-webui repository, affecting versions up to 7.3.0. This vulnerability allows attackers to change a victim's profile picture without their consent, potentially leading to a denial of service by overloading the filesystem with files. Additionally, this flaw can be exploited to perform a stored cross-site scripting (XSS) attack, enabling attackers to execute arbitrary JavaScript in the context of the victim's browser session. The issue is resolved in version 9.3.

An issue was discovered in zenml-io/zenml versions up to and including 0.55.4. Due to improper authentication mechanisms, an attacker with access to an active user session can change the account password without needing to know the current password. This vulnerability allows for unauthorized account takeover by bypassing the standard password change verification process. The issue was fixed in version 0.56.3.

A stored Cross-Site Scripting (XSS) vulnerability was identified in the zenml-io/zenml repository, specifically within the 'logo_url' field. By injecting malicious payloads into this field, an attacker could send harmful messages to other users, potentially compromising their accounts. The vulnerability affects version 0.55.3 and was fixed in version 0.56.2. The impact of exploiting this vulnerability could lead to user account compromise.

An improper authorization vulnerability exists in the zenml-io/zenml repository, specifically within the API PUT /api/v1/users/id endpoint. This vulnerability allows any authenticated user to modify the information of other users, including changing the `active` status of user accounts to false, effectively deactivating them. This issue affects version 0.55.3 and was fixed in version 0.56.2. The impact of this vulnerability is significant as it allows for the deactivation of admin accounts, potentially disrupting the functionality and security of the application.

A race condition vulnerability exists in zenml-io/zenml versions up to and including 0.55.3, which allows for the creation of multiple users with the same username when requests are sent in parallel. This issue was fixed in version 0.55.5. The vulnerability arises due to insufficient handling of concurrent user creation requests, leading to data inconsistencies and potential authentication problems. Specifically, concurrent processes may overwrite or corrupt user data, complicating user identification and posing security risks. This issue is particularly concerning for APIs that rely on usernames as input parameters, such as PUT /api/v1/users/test_race, where it could lead to further complications.

The file upload feature in OTRS and ((OTRS)) Community Edition has a path traversal vulnerability. This issue permits authenticated agents or customer users to upload potentially harmful files to directories accessible by the web server, potentially leading to the execution of local code like Perl scripts. This issue affects OTRS: from 7.0.X through 7.0.49, 8.0.X, 2023.X, from 2024.X through 2024.3.2; ((OTRS)) Community Edition: from 6.0.1 through 6.0.34.

IBM System Storage DS8900F 89.22.19.0, 89.30.68.0, 89.32.40.0, 89.33.48.0, 89.40.83.0, and 89.40.93.0 could allow a remote user to create an LDAP connection with a valid username and empty password to establish an anonymous connection.   IBM X-Force ID: 279518.

AutoGPT, a component of significant-gravitas/autogpt, is vulnerable to an improper neutralization of special elements used in an OS command ('OS Command Injection') due to a flaw in its shell command validation function. Specifically, the vulnerability exists in versions v0.5.0 up to but not including 5.1.0. The issue arises from the application's method of validating shell commands against an allowlist or denylist, where it only checks the first word of the command. This allows an attacker to bypass the intended restrictions by crafting commands that are executed despite not being on the allowlist or by including malicious commands not present in the denylist. Successful exploitation of this vulnerability could allow an attacker to execute arbitrary shell commands.

An OS command injection vulnerability exists in the MacOS Text-To-Speech class MacOSTTS of the significant-gravitas/autogpt project, affecting versions up to v0.5.0. The vulnerability arises from the improper neutralization of special elements used in an OS command within the `_speech` method of the MacOSTTS class. Specifically, the use of `os.system` to execute the `say` command with user-supplied text allows for arbitrary code execution if an attacker can inject shell commands. This issue is triggered when the AutoGPT instance is run with the `--speak` option enabled and configured with `TEXT_TO_SPEECH_PROVIDER=macos`, reflecting back a shell injection snippet. The impact of this vulnerability is the potential execution of arbitrary code on the instance running AutoGPT. The issue was addressed in version 5.1.0.

parisneo/lollms-webui is vulnerable to path traversal and denial of service attacks due to an exposed `/select_database` endpoint in version a9d16b0. The endpoint improperly handles file paths, allowing attackers to specify absolute paths when interacting with the `DiscussionsDB` instance. This flaw enables attackers to create directories anywhere on the system where the application has permissions, potentially leading to denial of service by creating directories with names of critical files, such as HTTPS certificate files, causing server startup failures. Additionally, attackers can manipulate the database path, resulting in the loss of client data by constantly changing the file location to an attacker-controlled location, scattering the data across the filesystem and making recovery difficult.

A vulnerability in mlflow/mlflow version 8.2.1 allows for remote code execution due to improper neutralization of special elements used in an OS command ('Command Injection') within the `mlflow.data.http_dataset_source.py` module. Specifically, when loading a dataset from a source URL with an HTTP scheme, the filename extracted from the `Content-Disposition` header or the URL path is used to generate the final file path without proper sanitization. This flaw enables an attacker to control the file path fully by utilizing path traversal or absolute path techniques, such as '../../tmp/poc.txt' or '/tmp/poc.txt', leading to arbitrary file write. Exploiting this vulnerability could allow a malicious user to execute commands on the vulnerable machine, potentially gaining access to data and model information. The issue is fixed in version 2.9.0.

IBM Engineering Requirements Management DOORS Next 7.0.2 and 7.0.3 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. IBM X-Force ID: 268758.

Luxion KeyShot BIP File Parsing Uncontrolled Search Path Element Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Luxion KeyShot. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of BIP files. The issue results from loading a library from an unsecured location. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-22738.

Luxion KeyShot Viewer KSP File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Luxion KeyShot Viewer. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of KSP files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-22267.