CVE Feed

The encrypt() function of Ninja Core v7.0.0 was discovered to use a weak cryptographic algorithm, leading to a possible leakage of sensitive information.

The iSTAR door controllers running firmware prior to version 6.6.B, does not support authenticated communications with ICU, which may allow an attacker to gain unauthorized access

Insecure permissions in Netgear WNR614 JNR1010V2/N300-V1.1.0.54_1.0.1 allows attackers to access URLs and directories embedded within the firmware via unspecified vectors.

Dynamsoft Service 1.8.1025 through 1.8.2013, 1.7.0330 through 1.7.2531, 1.6.0428 through 1.6.1112, 1.5.0625 through 1.5.3116, 1.4.0618 through 1.4.1230, and 1.0.516 through 1.3.0115 has Incorrect Access Control. This is fixed in 1.8.2014, 1.7.4212, 1.6.3212, 1.5.31212, 1.4.3212, and 1.3.3212.

Improper input validation in OneFlow-Inc. Oneflow v0.9.1 allows attackers to cause a Denial of Service (DoS) via inputting negative values into the oneflow.zeros/ones parameter.

Evmos is the Ethereum Virtual Machine (EVM) Hub on the Cosmos Network. Users are able to delegate tokens that have not yet been vested. This affects employees and grantees who have funds managed via `ClawbackVestingAccount`. This affects 18.1.0 and earlier.

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`).

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.

man-group/dtale version 3.10.0 is vulnerable to an authentication bypass and remote code execution (RCE) due to improper input validation. The vulnerability arises from a hardcoded `SECRET_KEY` in the flask configuration, allowing attackers to forge a session cookie if authentication is enabled. Additionally, the application fails to properly restrict custom filter queries, enabling attackers to execute arbitrary code on the server by bypassing the restriction on the `/update-settings` endpoint, even when `enable_custom_filters` is not enabled. This vulnerability allows attackers to bypass authentication mechanisms and execute remote code on the server.

A timing attack vulnerability exists in the gaizhenbiao/chuanhuchatgpt repository, specifically within the password comparison logic. The vulnerability is present in version 20240310 of the software, where passwords are compared using the '=' operator in Python. This method of comparison allows an attacker to guess passwords based on the timing of each character's comparison. The issue arises from the code segment that checks a password for a particular username, which can lead to the exposure of sensitive information to an unauthorized actor. An attacker exploiting this vulnerability could potentially guess user passwords, compromising the security of the system.

A Server-Side Request Forgery (SSRF) vulnerability exists in the lunary-ai/lunary application, specifically within the endpoint '/auth/saml/tto/download-idp-xml'. The vulnerability arises due to the application's failure to validate user-supplied URLs before using them in server-side requests. An attacker can exploit this vulnerability by sending a specially crafted request to the affected endpoint, allowing them to make unauthorized requests to internal or external resources. This could lead to the disclosure of sensitive information, service disruption, or further attacks against the network infrastructure. The issue affects the latest version of the application as of the report.

In mintplex-labs/anything-llm, a vulnerability exists in the thread update process that allows users with Default or Manager roles to escalate their privileges to Administrator. The issue arises from improper input validation when handling HTTP POST requests to the endpoint `/workspace/:slug/thread/:threadSlug/update`. Specifically, the application fails to validate or check user input before passing it to the `workspace_thread` Prisma model for execution. This oversight allows attackers to craft a Prisma relation query operation that manipulates the `users` model to change a user's role to admin. Successful exploitation grants attackers the highest level of user privileges, enabling them to see and perform all actions within the system.

An issue in OneFlow-Inc. Oneflow v0.9.1 allows attackers to cause a Denial of Service (DoS) when an empty array is processed with oneflow.tensordot.

Evmos is the Ethereum Virtual Machine (EVM) Hub on the Cosmos Network. There is an issue with how to liquid stake using Safe which itself is a contract. The bug only appears when there is a local state change together with an ICS20 transfer in the same function and uses the contract's balance, that is using the contract address as the sender parameter in an ICS20 transfer using the ICS20 precompile. This is in essence the "infinite money glitch" allowing contracts to double the supply of Evmos after each transaction.The issue has been patched in versions >=V18.1.0.

In lunary-ai/lunary version 1.2.5, an improper access control vulnerability exists due to a missing permission check in the `GET /v1/users/me/org` endpoint. The platform's role definitions restrict the `Prompt Editor` role to prompt management and project viewing/listing capabilities, explicitly excluding access to user information. However, the endpoint fails to enforce this restriction, allowing users with the `Prompt Editor` role to access the full list of users in the organization. This vulnerability allows unauthorized access to sensitive user information, violating the intended access controls.

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.

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.

A vulnerability in the `download_model_with_test_data` function of the onnx/onnx framework, version 1.16.0, allows for arbitrary file overwrite due to inadequate prevention of path traversal attacks in malicious tar files. This vulnerability enables attackers to overwrite any file on the system, potentially leading to remote code execution, deletion of system, personal, or application files, thus impacting the integrity and availability of the system. The issue arises from the function's handling of tar file extraction without performing security checks on the paths within the tar file, as demonstrated by the ability to overwrite the `/home/kali/.ssh/authorized_keys` file by specifying an absolute path in the malicious tar file.

In gaizhenbiao/chuanhuchatgpt, specifically the version tagged as 20240121, there exists a vulnerability due to improper access control mechanisms. This flaw allows an authenticated attacker to bypass intended access restrictions and read the `history` files of other users, potentially leading to unauthorized access to sensitive information. The vulnerability is present in the application's handling of access control for the `history` path, where no adequate mechanism is in place to prevent an authenticated user from accessing another user's chat history files. This issue poses a significant risk as it could allow attackers to obtain sensitive information from the chat history of other users.

A path traversal vulnerability exists in the parisneo/lollms application, specifically within the `sanitize_path_from_endpoint` and `sanitize_path` functions in `lollms_core\lollms\security.py`. This vulnerability allows for arbitrary file reading when the application is running on Windows. The issue arises due to insufficient sanitization of user-supplied input, enabling attackers to bypass the path traversal protection mechanisms by crafting malicious input. Successful exploitation could lead to unauthorized access to sensitive files, information disclosure, and potentially a denial of service (DoS) condition by including numerous large or resource-intensive files. This vulnerability affects the latest version prior to 9.6.

gaizhenbiao/chuanhuchatgpt is vulnerable to an unrestricted file upload vulnerability due to insufficient validation of uploaded file types in its `/upload` endpoint. Specifically, the `handle_file_upload` function does not sanitize or validate the file extension or content type of uploaded files, allowing attackers to upload files with arbitrary extensions, including HTML files containing XSS payloads and Python files. This vulnerability, present in the latest version as of 20240310, could lead to stored XSS attacks and potentially result in remote code execution (RCE) on the server hosting the application.

Improper input validation in OneFlow-Inc. Oneflow v0.9.1 allows attackers to cause a Denial of Service (DoS) via inputting a negative value into the dim parameter.

A Server-Side Request Forgery (SSRF) vulnerability exists in the upload link feature of mintplex-labs/anything-llm. This feature, intended for users with manager or admin roles, processes uploaded links through an internal Collector API using a headless browser. An attacker can exploit this by hosting a malicious website and using it to perform actions such as internal port scanning, accessing internal web applications not exposed externally, and interacting with the Collector API. This interaction can lead to unauthorized actions such as arbitrary file deletion and limited Local File Inclusion (LFI), including accessing NGINX access logs which may contain sensitive information.

An Incorrect Authorization vulnerability exists in lunary-ai/lunary versions up to and including 1.2.2, which allows unauthenticated users to delete any dataset. The vulnerability is due to the lack of proper authorization checks in the dataset deletion endpoint. Specifically, the endpoint does not verify if the provided project ID belongs to the current user, thereby allowing any dataset to be deleted without proper authentication. This issue was fixed in version 1.2.8.

OneFlow-Inc. Oneflow v0.9.1 does not display an error or warning when the oneflow.eye parameter is floating.

mintplex-labs/anything-llm is affected by an uncontrolled resource consumption vulnerability in its upload file endpoint, leading to a denial of service (DOS) condition. Specifically, the server can be shut down by sending an invalid upload request. An attacker with the ability to upload documents can exploit this vulnerability to cause a DOS condition by manipulating the upload request.

A path traversal vulnerability exists in the 'cyber_security/codeguard' native personality of the parisneo/lollms-webui, affecting versions up to 9.5. The vulnerability arises from the improper limitation of a pathname to a restricted directory in the 'process_folder' function within 'lollms-webui/zoos/personalities_zoo/cyber_security/codeguard/scripts/processor.py'. Specifically, the function fails to properly sanitize user-supplied input for the 'code_folder_path', allowing an attacker to specify arbitrary paths using '../' or absolute paths. This flaw leads to arbitrary file read and overwrite capabilities in specified directories without limitations, posing a significant risk of sensitive information disclosure and unauthorized file manipulation.

An issue in OneFlow-Inc. Oneflow v0.9.1 allows attackers to cause a Denial of Service (DoS) when index as a negative number exceeds the range of size.

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 Server-Side Request Forgery (SSRF) vulnerability exists in the stangirard/quivr application, version 0.0.204, which allows attackers to access internal networks. The vulnerability is present in the crawl endpoint where the 'url' parameter can be manipulated to send HTTP requests to arbitrary URLs, thereby facilitating SSRF attacks. The affected code is located in the backend/routes/crawl_routes.py file, specifically within the crawl_endpoint function. This issue could allow attackers to interact with internal services that are accessible from the server hosting the application.

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.

An Improper Access Control vulnerability exists in the lunary-ai/lunary repository, affecting versions up to and including 1.2.2. The vulnerability allows unauthorized users to view any prompts in any projects by supplying a specific prompt ID to an endpoint that does not adequately verify the ownership of the prompt ID. This issue was fixed in version 1.2.25.

BerriAI's litellm, in its latest version, is vulnerable to arbitrary file deletion due to improper input validation on the `/audio/transcriptions` endpoint. An attacker can exploit this vulnerability by sending a specially crafted request that includes a file path to the server, which then deletes the specified file without proper authorization or validation. This vulnerability is present in the code where `os.remove(file.filename)` is used to delete a file, allowing any user to delete critical files on the server such as SSH keys, SQLite databases, or configuration files.

This CVE ID has been rejected or withdrawn by its CVE Numbering Authority.

A Local File Inclusion (LFI) vulnerability was identified in mlflow/mlflow, specifically in version 2.9.2, which was fixed in version 2.11.3. This vulnerability arises from the application's failure to properly validate URI fragments for directory traversal sequences such as '../'. An attacker can exploit this flaw by manipulating the fragment part of the URI to read arbitrary files on the local file system, including sensitive files like '/etc/passwd'. The vulnerability is a bypass to a previous patch that only addressed similar manipulation within the URI's query string, highlighting the need for comprehensive validation of all parts of a URI to prevent LFI attacks.

A Server-Side Request Forgery (SSRF) vulnerability exists in the Web Research Retriever component of langchain-ai/langchain version 0.1.5. The vulnerability arises because the Web Research Retriever does not restrict requests to remote internet addresses, allowing it to reach local addresses. This flaw enables attackers to execute port scans, access local services, and in some scenarios, read instance metadata from cloud environments. The vulnerability is particularly concerning as it can be exploited to abuse the Web Explorer server as a proxy for web attacks on third parties and interact with servers in the local network, including reading their response data. This could potentially lead to arbitrary code execution, depending on the nature of the local services. The vulnerability is limited to GET requests, as POST requests are not possible, but the impact on confidentiality, integrity, and availability is significant due to the potential for stolen credentials and state-changing interactions with internal APIs.

A Privilege Escalation Vulnerability exists in lunary-ai/lunary version 1.2.2, where any user can delete any datasets due to missing authorization checks. The vulnerability is present in the dataset deletion functionality, where the application fails to verify if the user requesting the deletion has the appropriate permissions. This allows unauthorized users to send a DELETE request to the server and delete any dataset by specifying its ID. The issue is located in the datasets.delete function within the datasets index file.

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 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.

A stored Cross-Site Scripting (XSS) vulnerability existed in version (20240121) of gaizhenbiao/chuanhuchatgpt due to inadequate sanitization and validation of model output data. Despite user-input validation efforts, the application fails to properly sanitize or validate the output from the model, allowing for the injection and execution of malicious JavaScript code within the context of a user's browser. This vulnerability can lead to the execution of arbitrary JavaScript code in the context of other users' browsers, potentially resulting in the hijacking of victims' browsers.

A blind SQL injection vulnerability exists in the berriai/litellm application, specifically within the '/team/update' process. The vulnerability arises due to the improper handling of the 'user_id' parameter in the raw SQL query used for deleting users. An attacker can exploit this vulnerability by injecting malicious SQL commands through the 'user_id' parameter, leading to potential unauthorized access to sensitive information such as API keys, user information, and tokens stored in the database. The affected version is 1.27.14.

A Cross-Site Scripting (XSS) vulnerability exists in mintplex-labs/anything-llm, affecting both the desktop application version 1.2.0 and the latest version of the web application. The vulnerability arises from the application's feature to fetch and embed content from websites into workspaces, which can be exploited to execute arbitrary JavaScript code. In the desktop application, this flaw can be escalated to Remote Code Execution (RCE) due to insecure application settings, specifically the enabling of 'nodeIntegration' and the disabling of 'contextIsolation' in Electron's webPreferences. The issue has been addressed in version 1.4.2 of the desktop application.

A remote code execution (RCE) vulnerability exists in the '/install_extension' endpoint of the parisneo/lollms-webui application, specifically within the `@router.post("/install_extension")` route handler. The vulnerability arises due to improper handling of the `name` parameter in the `ExtensionBuilder().build_extension()` method, which allows for local file inclusion (LFI) leading to arbitrary code execution. An attacker can exploit this vulnerability by crafting a malicious `name` parameter that causes the server to load and execute a `__init__.py` file from an arbitrary location, such as the upload directory for discussions. This vulnerability affects the latest version of parisneo/lollms-webui and can lead to remote code execution without requiring user interaction, especially when the application is exposed to an external endpoint or operated in headless mode.

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.

In lunary-ai/lunary version 1.2.4, an account takeover vulnerability exists due to the exposure of password recovery tokens in API responses. Specifically, when a user initiates the password reset process, the recovery token is included in the response of the `GET /v1/users/me/org` endpoint, which lists all users in a team. This allows any authenticated user to capture the recovery token of another user and subsequently change that user's password without consent, effectively taking over the account. The issue lies in the inclusion of the `recovery_token` attribute in the users object returned by the API.

Kofax Power PDF JPF File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Kofax Power PDF. 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 JPF 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 object. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-22092.

The gaizhenbiao/chuanhuchatgpt application is vulnerable to a path traversal attack due to its use of an outdated gradio component. The application is designed to restrict user access to resources within the `web_assets` folder. However, the outdated version of gradio it employs is susceptible to path traversal, as identified in CVE-2023-51449. This vulnerability allows unauthorized users to bypass the intended restrictions and access sensitive files, such as `config.json`, which contains API keys. The issue affects the latest version of chuanhuchatgpt prior to the fixed version released on 20240305.

A Cross-site Scripting (XSS) vulnerability exists in the SAML metadata endpoint `/auth/saml/${org?.id}/metadata` of lunary-ai/lunary version 1.2.7. The vulnerability arises due to the application's failure to escape or validate the `orgId` parameter supplied by the user before incorporating it into the generated response. Specifically, the endpoint generates XML responses for SAML metadata, where the `orgId` parameter is directly embedded into the XML structure without proper sanitization or validation. This flaw allows an attacker to inject arbitrary JavaScript code into the generated SAML metadata page, leading to potential theft of user cookies or authentication tokens.

A Server-Side Request Forgery (SSRF) vulnerability exists in the file upload section of imartinez/privategpt version 0.5.0. This vulnerability allows attackers to send crafted requests that could result in unauthorized access to the local network and potentially sensitive information. Specifically, by manipulating the 'path' parameter in a file upload request, an attacker can cause the application to make arbitrary requests to internal services, including the AWS metadata endpoint. This issue could lead to the exposure of internal servers and sensitive data.

An SQL Injection vulnerability exists in the berriai/litellm repository, specifically within the `/global/spend/logs` endpoint. The vulnerability arises due to improper neutralization of special elements used in an SQL command. The affected code constructs an SQL query by concatenating an unvalidated `api_key` parameter directly into the query, making it susceptible to SQL Injection if the `api_key` contains malicious data. This issue affects the latest version of the repository. Successful exploitation of this vulnerability could lead to unauthorized access, data manipulation, exposure of confidential information, and denial of service (DoS).