CVE Database

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.

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.

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.

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.

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 Insecure Direct Object Reference (IDOR) vulnerability was identified in lunary-ai/lunary, affecting versions up to and including 1.2.2. This vulnerability allows unauthorized users to view, update, or delete any dataset_prompt or dataset_prompt_variation within any dataset or project. The issue stems from improper access control checks in the dataset management endpoints, where direct references to object IDs are not adequately secured against unauthorized access. This vulnerability was fixed in version 1.2.25.

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.

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.

A path traversal vulnerability exists in the parisneo/lollms application, affecting version 9.4.0 and potentially earlier versions, but fixed in version 5.9.0. The vulnerability arises due to improper validation of file paths between Windows and Linux environments, allowing attackers to traverse beyond the intended directory and read any file on the Windows system. Specifically, the application fails to adequately sanitize file paths containing backslashes (`\`), which can be exploited to access the root directory and read, or even delete, sensitive files. This issue was discovered in the context of the `/user_infos` endpoint, where a crafted request using backslashes to reference a file (e.g., `\windows\win.ini`) could result in unauthorized file access. The impact of this vulnerability includes the potential for attackers to access sensitive information such as environment variables, database files, and configuration files, which could lead to further compromise of the system.

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.

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.

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.

A stored Cross-Site Scripting (XSS) vulnerability exists in the mintplex-labs/anything-llm application, affecting versions up to and including the latest before 1.0.0. The vulnerability arises from the application's failure to properly sanitize and validate user-supplied URLs before embedding them into the application UI as external links with custom icons. Specifically, the application does not prevent the inclusion of 'javascript:' protocol payloads in URLs, which can be exploited by a user with manager role to execute arbitrary JavaScript code in the context of another user's session. This flaw can be leveraged to steal the admin's authorization token by crafting malicious URLs that, when clicked by the admin, send the token to an attacker-controlled server. The attacker can then use this token to perform unauthorized actions, escalate privileges to admin, or directly take over the admin account. The vulnerability is triggered when the malicious link is opened in a new tab using either the CTRL + left mouse button click or the mouse scroll wheel click, or in some non-updated versions of modern browsers, by directly clicking on the link.

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.

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.

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.

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.

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.

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.

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.

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 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 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 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.

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.

Luxion KeyShot Viewer KSP File Parsing Stack-based Buffer Overflow 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 the length of user-supplied data prior to copying it to a stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-22266.

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-22514.