| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| SQL injection vulnerability in the CIGESv2 system, through /ajaxServiciosAtencion.php, in the 'idServicio' parameter. The exploitation of this vulnerability could allow a remote user to retrieve all data stored in the database by sending a specially crafted SQL query. |
| A vulnerability in Amazon Web Services (AWS), Microsoft Azure, and Oracle Cloud Infrastructure (OCI) cloud deployments of Cisco Identity Services Engine (ISE) could allow an unauthenticated, remote attacker to access sensitive data, execute limited administrative operations, modify system configurations, or disrupt services within the impacted systems.
This vulnerability exists because credentials are improperly generated when Cisco ISE is being deployed on cloud platforms, resulting in different Cisco ISE deployments sharing the same credentials. These credentials are shared across multiple Cisco ISE deployments as long as the software release and cloud platform are the same. An attacker could exploit this vulnerability by extracting the user credentials from Cisco ISE that is deployed in the cloud and then using them to access Cisco ISE that is deployed in other cloud environments through unsecured ports. A successful exploit could allow the attacker to access sensitive data, execute limited administrative operations, modify system configurations, or disrupt services within the impacted systems.
Note: If the Primary Administration node is deployed in the cloud, then Cisco ISE is affected by this vulnerability. If the Primary Administration node is on-premises, then it is not affected. |
| In lunary-ai/lunary version v1.4.28, the /bigquery API route lacks proper access control, allowing any logged-in user to create a Datastream to Google BigQuery and export the entire database. This includes sensitive data such as password hashes and secret API keys. The route is protected by a config check (`config.DATA_WAREHOUSE_EXPORTS_ALLOWED`), but it does not verify the user's access level or implement any access control middleware. This vulnerability can lead to the extraction of sensitive data, disruption of services, credential compromise, and service integrity breaches. |
| vllm-project vllm version 0.6.0 contains a vulnerability in the AsyncEngineRPCServer() RPC server entrypoints. The core functionality run_server_loop() calls the function _make_handler_coro(), which directly uses cloudpickle.loads() on received messages without any sanitization. This can result in remote code execution by deserializing malicious pickle data. |
| A vulnerability in the `LockManager.release_locks` function in aimhubio/aim (commit bb76afe) allows for arbitrary file deletion through relative path traversal. The `run_hash` parameter, which is user-controllable, is concatenated without normalization as part of a path used to specify file deletion. This vulnerability is exposed through the `Repo._close_run()` method, which is accessible via the tracking server instruction API. As a result, an attacker can exploit this to delete any arbitrary file on the machine running the tracking server. |
| A command injection vulnerability exists in the workflow-checker.yml workflow of significant-gravitas/autogpt. The untrusted user input `github.head.ref` is used insecurely, allowing an attacker to inject arbitrary commands. This vulnerability affects versions up to and including the latest version. An attacker can exploit this by creating a branch name with a malicious payload and opening a pull request, potentially leading to reverse shell access or theft of sensitive tokens and keys. |
| mudler/LocalAI version 2.17.1 allows for arbitrary file write due to improper handling of automatic archive extraction. When model configurations specify additional files as archives (e.g., .tar), these archives are automatically extracted after downloading. This behavior can be exploited to perform a 'tarslip' attack, allowing files to be written to arbitrary locations on the server, bypassing checks that normally restrict files to the models directory. This vulnerability can lead to remote code execution (RCE) by overwriting backend assets used by the server. |
| A vulnerability in gaizhenbiao/chuanhuchatgpt version 20240410 allows an attacker to create arbitrary folders at any location on the server, including the root directory (C: dir). This can lead to uncontrolled resource consumption, resulting in resource exhaustion, denial of service (DoS), server unavailability, and potential data loss or corruption. |
| A remote code execution (RCE) vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the `deepdiff` library. The library uses `deepdiff.Delta` objects to modify application state based on frontend actions. However, it is possible to bypass the intended restrictions on modifying dunder attributes, allowing an attacker to construct a serialized delta that passes the deserializer whitelist and contains dunder attributes. When processed, this can be exploited to access other modules, classes, and instances, leading to arbitrary attribute write and total RCE on any self-hosted pytorch-lightning application in its default configuration, as the delta endpoint is enabled by default. |
| A command injection vulnerability exists in the gradio-app/gradio repository, specifically within the 'test-functional.yml' workflow. The vulnerability arises due to improper neutralization of special elements used in a command, allowing for unauthorized modification of the base repository or secrets exfiltration. The issue affects versions up to and including '@gradio/video@0.6.12'. The flaw is present in the workflow's handling of GitHub context information, where it echoes the full name of the head repository, the head branch, and the workflow reference without adequate sanitization. This could potentially lead to the exfiltration of sensitive secrets such as 'GITHUB_TOKEN', 'COMMENT_TOKEN', and 'CHROMATIC_PROJECT_TOKEN'. |
| qdrant/qdrant version 1.9.0-dev is vulnerable to arbitrary file read and write during the snapshot recovery process. Attackers can exploit this vulnerability by manipulating snapshot files to include symlinks, leading to arbitrary file read by adding a symlink that points to a desired file on the filesystem and arbitrary file write by including a symlink and a payload file in the snapshot's directory structure. This vulnerability allows for the reading and writing of arbitrary files on the server, which could potentially lead to a full takeover of the system. The issue is fixed in version v1.9.0. |
| In lunary-ai/lunary versions up to and including 1.2.5, an information disclosure vulnerability exists where account recovery hashes of users are inadvertently exposed to unauthorized actors. This issue occurs when authenticated users inspect responses from `GET /v1/users/me` and `GET /v1/users/me/org` endpoints. The exposed account recovery hashes, while not directly related to user passwords, represent sensitive information that should not be accessible to unauthorized parties. Exposing these hashes could potentially facilitate account recovery attacks or other malicious activities. The vulnerability was addressed in version 1.2.6. |
| 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. |
| In eosphoros-ai/db-gpt version v0.6.0, the web API `POST /v1/personal/agent/upload` is vulnerable to Arbitrary File Upload with Path Traversal. This vulnerability allows unauthorized attackers to upload arbitrary files to the victim's file system at any location. The impact of this vulnerability includes the potential for remote code execution (RCE) by writing malicious files, such as a malicious `__init__.py` in the Python's `/site-packages/` directory. |
| An arbitrary file deletion vulnerability exists in danny-avila/librechat version v0.7.5-rc2, specifically within the /api/files endpoint. This vulnerability arises from improper input validation, allowing path traversal techniques to delete arbitrary files on the server. Attackers can exploit this to bypass security mechanisms and delete files outside the intended directory, including critical system files, user data, or application resources. This vulnerability impacts the integrity and availability of the system. |
| A path traversal vulnerability exists in the save-workflow and load-workflow functionality of modelscope/agentscope versions prior to the fix. This vulnerability allows an attacker to read and write arbitrary JSON files on the filesystem, potentially leading to the exposure or modification of sensitive information such as configuration files, API keys, and hardcoded passwords. |
| A vulnerability in the GraphCypherQAChain class of langchain-ai/langchain version 0.2.5 allows for SQL injection through prompt injection. This vulnerability can lead to unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. |
| A vulnerability in the GraphCypherQAChain class of langchain-ai/langchainjs versions 0.2.5 and all versions with this class allows for prompt injection, leading to SQL injection. This vulnerability permits unauthorized data manipulation, data exfiltration, denial of service (DoS) by deleting all data, breaches in multi-tenant security environments, and data integrity issues. Attackers can create, update, or delete nodes and relationships without proper authorization, extract sensitive data, disrupt services, access data across different tenants, and compromise the integrity of the database. |
| BerriAI/litellm version v1.35.8 contains a vulnerability where an attacker can achieve remote code execution. The vulnerability exists in the `add_deployment` function, which decodes and decrypts environment variables from base64 and assigns them to `os.environ`. An attacker can exploit this by sending a malicious payload to the `/config/update` endpoint, which is then processed and executed by the server when the `get_secret` function is triggered. This requires the server to use Google KMS and a database to store a model. |
| SQL injection vulnerability in Bookgy. This vulnerability could allow an attacker to retrieve, create, update and delete databases by sending an HTTP request through the "IDTIPO", "IDPISTA" and "IDSOCIO" parameters in /bkg_seleccionar_hora_ajax.php. |
