A vulnerability in parisneo/lollms-webui v13 arises from the server's handling of multipart boundaries in file uploads. The server does not limit or validate the length of the boundary or the characters appended to it, allowing an attacker to craft requests with excessively long boundaries, leading to resource exhaustion and eventual denial of service (DoS). Despite an attempted patch in commit 483431bb, which blocked hyphen characters from being appended to the multipart boundary, the fix is insufficient. The server remains vulnerable if other characters (e.g., '4', 'a') are used instead of hyphens. This allows attackers to exploit the vulnerability using different characters, causing resource exhaustion and service unavailability.
AutoGPT versions 0.3.4 and earlier are vulnerable to a Server-Side Template Injection (SSTI) that could lead to Remote Code Execution (RCE). The vulnerability arises from the improper handling of user-supplied format strings in the `AgentOutputBlock` implementation, where malicious input is passed to the Jinja2 templating engine without adequate security measures. Attackers can exploit this flaw to execute arbitrary commands on the host system. The issue is fixed in version 0.4.0.
An improper authorization vulnerability exists in the main-latest version of BerriAI/litellm. When a user with the role 'internal_user_viewer' logs into the application, they are provided with an overly privileged API key. This key can be used to access all the admin functionality of the application, including endpoints such as '/users/list' and '/users/get_users'. This vulnerability allows for privilege escalation within the application, enabling any account to become a PROXY ADMIN.
In mlflow/mlflow version 2.17.2, the `/graphql` endpoint is vulnerable to a denial of service attack. An attacker can create large batches of queries that repeatedly request all runs from a given experiment. This can tie up all the workers allocated by MLFlow, rendering the application unable to respond to other requests. This vulnerability is due to uncontrolled resource consumption.
In version 3.25.0 of aimhubio/aim, the tracking server is vulnerable to a denial of service attack. The server overrides the maximum size for websocket messages, allowing very large images to be tracked. This causes the server to become unresponsive to other requests while processing the large image, leading to a denial of service condition.
A vulnerability in danswer-ai/danswer version 0.9.0 allows for denial of service through memory exhaustion. The issue arises from the use of a vulnerable version of the starlette package (<=0.49) via fastapi, which was patched in fastapi version 0.115.3. The vulnerability can be exploited by sending multiple requests to the /auth/saml/callback endpoint, leading to uncontrolled memory consumption and eventual denial of service.
A missing authentication check in the uninstall endpoint of parisneo/lollms-webui V13 allows attackers to perform unauthorized directory deletions. The /uninstall/{app_name} API endpoint does not call the check_access() function to verify the client_id, enabling attackers to delete directories without proper authentication.
SuperAGI version v0.0.14 is vulnerable to an unauthenticated Denial of Service (DoS) attack. The vulnerability exists in the resource upload request, where appending characters, such as dashes (-), to the end of a multipart boundary in an HTTP request causes the server to continuously process each character. This leads to excessive resource consumption and renders the service unavailable. The issue is unauthenticated and does not require any user interaction, impacting all users of the service.
In version v0.0.14 of transformeroptimus/superagi, there is an improper privilege management vulnerability. After logging into the system, users can change the passwords of other users, leading to potential account takeover.
A Denial of Service (DoS) vulnerability in the file upload feature of stangirard/quivr v0.0.298 allows unauthenticated attackers to cause excessive resource consumption by appending characters to the end of a multipart boundary in an HTTP request. This leads to the server continuously processing each character, rendering the service unavailable and impacting all users.
In lunary-ai/lunary version 1.4.28, the /checklists/:id route allows low-privilege users to modify checklists by sending a PATCH request. The route lacks proper access control, such as middleware to ensure that only authorized users (e.g., project owners or admins) can modify checklist data. This vulnerability allows any user associated with the project, regardless of their role, to modify checklists, including changing the slug or data fields, which can lead to tampering with essential project workflows, altering business logic, and introducing errors that undermine integrity.
BentoML version v1.3.4post1 is vulnerable to a Denial of Service (DoS) attack. The vulnerability can be exploited by appending characters, such as dashes (-), to the end of a multipart boundary in an HTTP request. This causes the server to continuously process each character, leading to excessive resource consumption and rendering the service unavailable. The issue is unauthenticated and does not require any user interaction, impacting all users of the service.
lunary-ai/lunary version v1.4.25 contains an improper access control vulnerability in the POST /api/v1/data-warehouse/bigquery endpoint. This vulnerability allows any user to export the entire database data by creating a stream to Google BigQuery without proper authentication or authorization. The issue is fixed in version 1.4.26.
A Denial of Service (DoS) vulnerability exists in berriai/litellm version v1.44.5. This vulnerability can be exploited by appending characters, such as dashes (-), to the end of a multipart boundary in an HTTP request. The server continuously processes each character, leading to excessive resource consumption and rendering the service unavailable. The issue is unauthenticated and does not require any user interaction, impacting all users of the service.
A vulnerability in the file upload process of gradio-app/gradio version @gradio/video@0.10.2 allows for a Denial of Service (DoS) attack. An attacker can append a large number of characters to the end of a multipart boundary, causing the system to continuously process each character and issue warnings. This can render Gradio inaccessible for extended periods, disrupting services and causing significant downtime.
A Server-Side Request Forgery (SSRF) vulnerability exists in composiohq/composio version v0.4.4. This vulnerability allows an attacker to read the contents of any file in the system by exploiting the BROWSERTOOL_GOTO_PAGE and BROWSERTOOL_GET_PAGE_DETAILS actions.
Lunary-ai/lunary version git 105a3f6 is vulnerable to a Regular Expression Denial of Service (ReDoS) attack. The application allows users to upload their own regular expressions, which are then executed on the server side. Certain regular expressions can have exponential runtime complexity relative to the input size, leading to potential denial of service. An attacker can exploit this by submitting a specially crafted regular expression, causing the server to become unresponsive for an arbitrary length of time.
A vulnerability in lunary-ai/lunary, as of commit be54057, allows users to upload and execute arbitrary regular expressions on the server side. This can lead to a Denial of Service (DoS) condition, as certain regular expressions can cause excessive resource consumption, blocking the server from processing other requests.
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the lunary-ai/lunary repository, specifically in the compileTextTemplate function. The affected version is git be54057. An attacker can exploit this vulnerability by manipulating the regular expression /{{(.*?)}}/g, causing the server to hang indefinitely and become unresponsive to any requests. This is due to the regular expression's susceptibility to second-degree polynomial time complexity, which can be triggered by a large number of braces in the input.
A vulnerability in gaizhenbiao/chuanhuchatgpt version 20240802 allows attackers to access, copy, and delete other users' chat histories. This issue arises due to improper handling of session data and lack of access control mechanisms, enabling attackers to view and manipulate chat histories of other users.
A directory traversal vulnerability exists in modelscope/agentscope version 0.0.4. An attacker can exploit this vulnerability to read any local JSON file by sending a crafted POST request to the /read-examples endpoint.
In version 3.22.0 of aimhubio/aim, the AimQL query language uses an outdated version of the safer_getattr() function from RestrictedPython. This version does not protect against the str.format_map() method, allowing an attacker to leak server-side secrets or potentially gain unrestricted code execution. The vulnerability arises because str.format_map() can read arbitrary attributes of Python objects, enabling attackers to access sensitive variables such as os.environ. If an attacker can write files to a known location on the Aim server, they can use str.format_map() to load a malicious .dll/.so file into the Python interpreter, leading to unrestricted code execution.
In version 3.23.0 of aimhubio/aim, certain methods that request data from external servers do not have set timeouts, causing the server to wait indefinitely for a response. This can lead to a denial of service, as the tracking server does not respond to other requests while waiting. The issue arises in the client used by the `aim` tracking server to communicate with external resources, specifically in the `_run_read_instructions` method and similar calls without timeouts.
OpenWebUI version 0.3.0 contains a vulnerability in the audio API endpoint `/audio/api/v1/transcriptions` that allows for arbitrary file upload. The application performs insufficient validation on the `file.content_type` and allows user-controlled filenames, leading to a path traversal vulnerability. This can be exploited by an authenticated user to overwrite critical files within the Docker container, potentially leading to remote code execution as the root user.
Vanna v0.6.3 is vulnerable to SQL injection via Snowflake database in its file staging operations using the `PUT` and `COPY` commands. This vulnerability allows unauthenticated remote users to read arbitrary local files on the victim server, such as `/etc/passwd`, by exploiting the exposed SQL queries through a Python Flask API.
A vulnerability in danswer-ai/danswer v0.3.94 allows an attacker to cause a Denial of Service (DoS) by uploading a file with a malformed multipart boundary. By appending a large number of characters to the end of the multipart boundary, the server continuously processes each character, rendering the application inaccessible. This issue can be exploited by sending a single crafted request, affecting all users on the server.
A vulnerability in lightning-ai/pytorch-lightning version 2.3.2 allows an attacker to cause a denial of service by sending an unexpected POST request to the `/api/v1/state` endpoint of `LightningApp`. This issue occurs due to improper handling of unexpected state values, which results in the server shutting down.
A vulnerability in imartinez/privategpt version 0.5.0 allows for a Denial of Service (DOS) attack. When uploading a file, if an attacker appends a large number of characters to the end of a multipart boundary, the system will continuously process these characters, rendering privateGPT inaccessible. This uncontrolled resource consumption can lead to prolonged unavailability of the service, disrupting operations and causing potential data inaccessibility and loss of productivity.
In version 0.3.8 of open-webui, an endpoint for converting markdown to HTML is exposed without authentication. A maliciously crafted markdown payload can cause the server to spend excessive time converting it, leading to a denial of service. The server becomes unresponsive to other requests until the conversion is complete.
A vulnerability in danswer-ai/danswer version 1 allows an attacker to perform a Regular Expression Denial of Service (ReDoS) by manipulating regular expressions. This can significantly slow down the application's response time and potentially render it completely unusable.
A vulnerability in the `/3/ImportFiles` endpoint of h2oai/h2o-3 version 3.46.1 allows an attacker to cause a denial of service. The endpoint takes a single GET parameter, `path`, which can be recursively set to reference itself. This leads the server to repeatedly call its own endpoint, eventually filling up the request queue and leaving the server unable to handle other requests.
An improper access control vulnerability exists in danswer-ai/danswer version v0.3.94. This vulnerability allows the first user created in the system to view, modify, and delete chats created by an Admin. This can lead to unauthorized access to sensitive information, loss of data integrity, and potential compliance violations.
An improper access control vulnerability in open-webui/open-webui v0.3.8 allows attackers to view and delete any files. The application does not verify whether the attacker is an administrator, allowing the attacker to directly call the GET /api/v1/files/ interface to retrieve information on all files uploaded by users, which includes the ID values. The attacker can then use the GET /api/v1/files/{file_id} interface to obtain information on any file and the DELETE /api/v1/files/{file_id} interface to delete any file.
corydolphin/flask-cors version 4.01 contains a vulnerability where the request path matching is case-insensitive due to the use of the `try_match` function, which is originally intended for matching hosts. This results in a mismatch because paths in URLs are case-sensitive, but the regex matching treats them as case-insensitive. This misconfiguration can lead to significant security vulnerabilities, allowing unauthorized origins to access paths meant to be restricted, resulting in data exposure and potential data leaks.
In version 1.5.5 of mintplex-labs/anything-llm, the `/setup-complete` API endpoint allows unauthorized users to access sensitive system settings. The data returned by the `currentSettings` function includes sensitive information such as API keys for search engines, which can be exploited by attackers to steal these keys and cause loss of user assets.
BerriAI/litellm version 1.40.12 contains a vulnerability that allows remote code execution. The issue exists in the handling of the 'post_call_rules' configuration, where a callback function can be added. The provided value is split at the final '.' mark, with the last part considered the function name and the remaining part appended with the '.py' extension and imported. This allows an attacker to set a system method, such as 'os.system', as a callback, enabling the execution of arbitrary commands when a chat response is processed.
A vulnerability in the `default_jsonalyzer` function of the `JSONalyzeQueryEngine` in the run-llama/llama_index repository allows for SQL injection via prompt injection. This can lead to arbitrary file creation and Denial-of-Service (DoS) attacks. The vulnerability affects the latest version and is fixed in version 0.5.1.
An Out-Of-Memory (OOM) vulnerability exists in the `ollama` server version 0.3.14. This vulnerability can be triggered when a malicious API server responds with a gzip bomb HTTP response, leading to the `ollama` server crashing. The vulnerability is present in the `makeRequestWithRetry` and `getAuthorizationToken` functions, which use `io.ReadAll` to read the response body. This can result in excessive memory usage and a Denial of Service (DoS) condition.
A vulnerability in aimhubio/aim version 3.25.0 allows for a denial of service (DoS) attack. The issue arises when a large number of tracked metrics are retrieved simultaneously from the Aim web API, causing the web server to become unresponsive. The root cause is the lack of a limit on the number of metrics that can be requested per call, combined with the server's single-threaded nature, leading to excessive resource consumption and blocking of the server.
A vulnerability in the LangChainLLM class of the run-llama/llama_index repository, version v0.12.5, allows for a Denial of Service (DoS) attack. The stream_complete method executes the llm using a thread and retrieves the result via the get_response_gen method of the StreamingGeneratorCallbackHandler class. If the thread terminates abnormally before the _llm.predict is executed, there is no exception handling for this case, leading to an infinite loop in the get_response_gen function. This can be triggered by providing an input of an incorrect type, causing the thread to terminate and the process to continue running indefinitely.
A vulnerability in binary-husky/gpt_academic version git 310122f allows for remote code execution. The application supports the extraction of user-provided RAR files without proper validation. The Python rarfile module, which supports symlinks, can be exploited to perform arbitrary file writes. This can lead to remote code execution by writing to sensitive files such as SSH keys, crontab files, or the application's own code.
A vulnerability in the `ImageClassificationDataset.from_csv()` API of the `dmlc/gluon-cv` repository, version 0.10.0, allows for arbitrary file write. The function downloads and extracts `tar.gz` files from URLs without proper sanitization, making it susceptible to a TarSlip vulnerability. Attackers can exploit this by crafting malicious tar files that, when extracted, can overwrite files on the victim's system via path traversal or faked symlinks.
In kedro-org/kedro version 0.19.8, the `pull_package()` API function allows users to download and extract micro packages from the Internet. However, the function `project_wheel_metadata()` within the code path can execute the `setup.py` file inside the tar file, leading to remote code execution (RCE) by running arbitrary commands on the victim's machine.
A Server-Side Request Forgery (SSRF) vulnerability was discovered in haotian-liu/llava, affecting version git c121f04. This vulnerability allows an attacker to make the server perform HTTP requests to arbitrary URLs, potentially accessing sensitive data that is only accessible from the server, such as AWS metadata credentials.
A local file inclusion vulnerability exists in haotian-liu/llava at commit c121f04. This vulnerability allows an attacker to access any file on the system by sending multiple crafted requests to the server. The issue is due to improper input validation in the gradio web UI component.
A vulnerability in danny-avila/librechat version git a1647d7 allows an unauthenticated attacker to cause a denial of service by sending a crafted payload to the server. The middleware `checkBan` is not surrounded by a try-catch block, and an unhandled exception will cause the server to crash. This issue is fixed in version 0.7.6.
In danny-avila/librechat version git 0c2a583, there is an improper input validation vulnerability. The application uses multer middleware for handling multipart file uploads. When using in-memory storage (the default setting for multer), there is no limit on the upload file size. This can lead to a server crash due to out-of-memory errors when handling large files. An attacker without any privileges can exploit this vulnerability to cause a complete denial of service. The issue is fixed in version 0.7.6.
An Insecure Direct Object Reference (IDOR) vulnerability exists in the `PATCH /v1/runs/:id/score` endpoint of lunary-ai/lunary version 1.6.0. This vulnerability allows an attacker to update the score data of any run by manipulating the id parameter in the request URL, which corresponds to the `runId_score` in the database. The endpoint does not sufficiently validate whether the authenticated user has permission to modify the specified runId, enabling an attacker with a valid account to modify other users' runId scores by specifying different id values. This issue was fixed in version 1.6.1.
GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload function. This function can download and extract tar.gz files from arxiv.org. Despite implementing protections against path traversal, the application overlooks the Tarslip triggered by symlinks. This oversight allows attackers to read arbitrary local files from the victim server.