| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| An improper access control vulnerability exists in the mintplex-labs/anything-llm application, specifically within the import endpoint. This vulnerability allows an anonymous attacker, without an account in the application, to import their own database file, leading to the deletion or spoofing of the existing `anythingllm.db` file. By exploiting this vulnerability, attackers can serve malicious data to users or collect information about them. The vulnerability stems from the application's failure to properly restrict access to the data-import functionality, allowing unauthorized database manipulation. |
| mintplex-labs/anything-llm is vulnerable to multiple security issues due to improper input validation in several endpoints. An attacker can exploit these vulnerabilities to escalate privileges from a default user role to an admin role, read and delete arbitrary files on the system, and perform Server-Side Request Forgery (SSRF) attacks. The vulnerabilities are present in the `/request-token`, `/workspace/:slug/thread/:threadSlug/update`, `/system/remove-logo`, `/system/logo`, and collector's `/process` endpoints. These issues are due to the application's failure to properly validate user input before passing it to `prisma` functions and other critical operations. Affected versions include the latest version prior to 1.0.0. |
| 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 vulnerability in AnythingLLM Docker version 1.3.1 allows users with 'Default' permission to access other users' profile pictures by changing the 'id' parameter in the user cookie. This issue is present in versions prior to 1.3.1. |
| 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. |
| A vulnerability in the `KnowledgeBaseWebReader` class of the run-llama/llama_index repository, version latest, allows an attacker to cause a Denial of Service (DoS) by controlling a URL variable to contain the root URL. This leads to infinite recursive calls to the `get_article_urls` method, exhausting system resources and potentially crashing the application. |
| A vulnerability in infiniflow/ragflow version RAGFlow-0.13.0 allows for partial account takeover via insecure data querying. The issue arises from the way tenant IDs are handled in the application. If a user has access to multiple tenants, they can manipulate their tenant access to query and access API tokens of other tenants. This vulnerability affects the following endpoints: /v1/system/token_list, /v1/system/new_token, /v1/api/token_list, /v1/api/new_token, and /v1/api/rm. An attacker can exploit this to access other tenants' API tokens, perform actions on behalf of other tenants, and access their data. |
| In infiniflow/ragflow version v0.12.0, there is an improper authentication vulnerability that allows a user to view another user's invite list. This can lead to a privacy breach where users' personal or private information, such as email addresses or usernames in the invite list, could be exposed without their consent. This data leakage can facilitate further attacks, such as phishing or spam, and result in loss of trust and potential regulatory issues. |
| 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, as of commit 310122f, allows for a Regular Expression Denial of Service (ReDoS) attack. The function '解析项目源码（手动指定和筛选源码文件类型）' permits the execution of user-provided regular expressions. Certain regular expressions can cause the Python RE engine to take exponential time to execute, leading to a Denial of Service (DoS) condition. An attacker who controls both the regular expression and the search string can exploit this vulnerability to hang the server for an arbitrary amount of time. |
| 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 binary-husky/gpt_academic version 310122f allows for a Regular Expression Denial of Service (ReDoS) attack. The application uses a regular expression to parse user input, which can take polynomial time to match certain crafted inputs. This allows an attacker to send a small malicious payload to the server, causing it to become unresponsive and unable to handle any requests from other users. |
| A vulnerability in the binary-husky/gpt_academic repository, as of commit git 3890467, allows an attacker to crash the server by uploading a specially crafted zip bomb. The server decompresses the uploaded file and attempts to load it into memory, which can lead to an out-of-memory crash. This issue arises due to improper input validation when handling compressed file uploads. |
| In lunary-ai/lunary before version 1.6.3, an improper access control vulnerability exists where a user can access prompt data of another user. This issue affects version 1.6.2 and the main branch. The vulnerability allows unauthorized users to view sensitive prompt data by accessing specific URLs, leading to potential exposure of critical information. |
| 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. |
