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.
A vulnerability in the SageMaker Workflow component of aws/sagemaker-python-sdk allows for the possibility of MD5 hash collisions in all versions. This can lead to workflows being inadvertently replaced due to the reuse of results from different configurations that produce the same MD5 hash. This issue can cause integrity problems within the pipeline, potentially leading to erroneous processing outcomes.
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.
An IDOR vulnerability in danswer-ai/danswer v0.3.94 allows an attacker to view any files. The application does not verify whether the attacker is the creator of the file, allowing the attacker to directly call the GET /api/chat/file/{file_id} interface to view any user's file.
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.
In version 0.0.14 of transformeroptimus/superagi, the API endpoint `/api/users/get/{id}` returns the user's password in plaintext. This vulnerability allows an attacker to retrieve the password of another user, 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 before version 1.4.30, a privilege escalation vulnerability exists where admins can invite new members with billing permissions, thereby gaining unauthorized access to billing resources. This issue arises because the user creation endpoint does not restrict admins from inviting users with billing roles. As a result, admins can circumvent the intended access control, posing a risk to the organization's financial resources.
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.
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.
A deserialization vulnerability exists in BentoML's runner server in bentoml/bentoml versions <=1.3.4.post1. By setting specific parameters, an attacker can execute unauthorized arbitrary code on the server, causing severe harm. The vulnerability is triggered when the args-number parameter is greater than 1, leading to automatic deserialization and arbitrary code execution.
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.
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.
In lunary-ai/lunary before version 1.4.26, the checklists.post() endpoint allows users to create or modify checklists without validating whether the user has proper permissions. This missing access control permits unauthorized users to create checklists, bypassing intended permission checks. Additionally, the endpoint does not validate the uniqueness of the slug field when creating a new checklist, allowing an attacker to spoof existing checklists by reusing the slug of an already-existing checklist. This can lead to significant data integrity issues, as legitimate checklists can be replaced with malicious or altered data.
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 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 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 vulnerability in the `upload_app` function of parisneo/lollms-webui V12 (Strawberry) allows an attacker to delete any file or directory on the system. The function does not implement user input filtering with the `filename` value, causing a Path Traversal error.
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.
A vulnerability in mintplex-labs/anything-llm prior to version 1.2.2 allows for Prisma injection. The issue exists in the API endpoint "/embed/:embedId/stream-chat" where user-provided JSON is directly taken to the Prisma library's where clause. An attacker can exploit this by providing a specially crafted JSON object, such as {"sessionId":{"not":"a"}}, causing Prisma to return all data from the table. This can lead to unauthorized access to all user queries in embedded chat mode.
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.
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.
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.
In version 0.4.1 of danswer-ai/danswer, a vulnerability exists where a basic user can create credentials and link them to an existing connector. This issue arises because the system allows an unauthenticated attacker to sign up with a basic account and perform actions that should be restricted to admin users. This can lead to excessive resource consumption, potentially resulting in a Denial of Service (DoS) and other significant issues, impacting the system's stability and security.
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.
A broken access control vulnerability exists in lunary-ai/lunary versions 1.2.7 through 1.4.2. The vulnerability allows an authenticated attacker to modify any user's templates by sending a crafted HTTP POST request to the /v1/templates/{id}/versions endpoint. This issue is resolved in version 1.4.3.
An improper access control vulnerability in open-webui/open-webui v0.3.8 allows an attacker to view admin details. The application does not verify whether the attacker is an administrator, allowing the attacker to directly call the /api/v1/auths/admin/details interface to retrieve the first admin (owner) details.
In version v0.3.8 of open-webui/open-webui, improper access control vulnerabilities allow an attacker to view any prompts. The application does not verify whether the attacker is an administrator, allowing the attacker to directly call the /api/v1/prompts/ interface to retrieve all prompt information created by the admin, which includes the ID values. Subsequently, the attacker can exploit the /api/v1/prompts/command/{command_id} interface to obtain arbitrary prompt information.
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.
In version v0.3.8 of open-webui/open-webui, there is an improper access control vulnerability. On the frontend admin page, administrators are intended to view only the chats of non-admin members. However, by modifying the user_id parameter, it is possible to view the chats of any administrator, including those of other admin (owner) accounts.