| CVE-2024-10986 | 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. | high |
| CVE-2024-10956 | GPT Academy version 3.83 in the binary-husky/gpt_academic repository is vulnerable to Cross-Site WebSocket Hijacking (CSWSH). This vulnerability allows an attacker to hijack an existing WebSocket connection between the victim's browser and the server, enabling unauthorized actions such as deleting conversation history without the victim's consent. The issue arises due to insufficient WebSocket authentication and lack of origin validation. | high |
| CVE-2024-10955 | A Regular Expression Denial of Service (ReDoS) vulnerability exists in gaizhenbiao/chuanhuchatgpt, as of commit 20b2e02. The server uses the regex pattern `r'<[^>]+>'` to parse user input. In Python's default regex engine, this pattern can take polynomial time to match certain crafted inputs. An attacker can exploit this by uploading a malicious JSON payload, causing the server to consume 100% CPU for an extended period. This can lead to a Denial of Service (DoS) condition, potentially affecting the entire server. | medium |
| CVE-2024-10954 | In the `manim` plugin of binary-husky/gpt_academic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows an attacker to perform remote code execution (RCE) on the app backend server by injecting malicious code through the prompt. | high |
| CVE-2024-10950 | In binary-husky/gpt_academic version <= 3.83, the plugin `CodeInterpreter` is vulnerable to code injection caused by prompt injection. The root cause is the execution of user-provided prompts that generate untrusted code without a sandbox, allowing the execution of parts of the LLM-generated code. This vulnerability can be exploited by an attacker to achieve remote code execution (RCE) on the application backend server, potentially gaining full control of the server. | high |
| CVE-2024-10948 | A vulnerability in the upload function of binary-husky/gpt_academic allows any user to read arbitrary files on the system, including sensitive files such as `config.py`. This issue affects the latest version of the product. An attacker can exploit this vulnerability by intercepting the websocket request during file upload and replacing the file path with the path of the file they wish to read. The server then copies the file to the `private_upload` folder and provides the path to the copied file, which can be accessed via a GET request. This vulnerability can lead to the exposure of sensitive system files, potentially including credentials, configuration files, or sensitive user data. | medium |
| CVE-2024-10940 | A vulnerability in langchain-core versions >=0.1.17,<0.1.53, >=0.2.0,<0.2.43, and >=0.3.0,<0.3.15 allows unauthorized users to read arbitrary files from the host file system. The issue arises from the ability to create langchain_core.prompts.ImagePromptTemplate's (and by extension langchain_core.prompts.ChatPromptTemplate's) with input variables that can read any user-specified path from the server file system. If the outputs of these prompt templates are exposed to the user, either directly or through downstream model outputs, it can lead to the exposure of sensitive information. | medium |
| CVE-2024-10935 | automatic1111/stable-diffusion-webui version 1.10.0 contains a vulnerability where the server fails to handle excessive characters appended to the end of multipart boundaries. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary, leading to excessive resource consumption and a complete denial of service (DoS) for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue. | high |
| CVE-2024-10912 | A Denial of Service (DoS) vulnerability exists in the file upload feature of lm-sys/fastchat version 0.2.36. The vulnerability is due to improper handling of form-data with a large filename in the file upload request. An attacker can exploit this by sending a payload with an excessively large filename, causing the server to become overwhelmed and unavailable to legitimate users. | high |
| CVE-2024-10908 | An open redirect vulnerability in lm-sys/fastchat Release v0.2.36 allows a remote unauthenticated attacker to redirect users to arbitrary websites via a specially crafted URL. This can be exploited for phishing attacks, malware distribution, and credential theft. | medium |
| CVE-2024-10907 | In lm-sys/fastchat Release v0.2.36, the server fails to handle excessive characters appended to the end of multipart boundaries. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary. Each extra character is processed in an infinite loop, leading to excessive resource consumption and a complete denial of service (DoS) for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue. | high |
| CVE-2024-10906 | In version 0.6.0 of eosphoros-ai/db-gpt, the `uvicorn` app created by `dbgpt_server` uses an overly permissive instance of `CORSMiddleware` which sets the `Access-Control-Allow-Origin` to `*` for all requests. This configuration makes all endpoints exposed by the server vulnerable to Cross-Site Request Forgery (CSRF). An attacker can exploit this vulnerability to interact with any endpoints of the instance, even if the instance is not publicly exposed to the network. | high |
| CVE-2024-10902 | 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. | critical |
| CVE-2024-10901 | In eosphoros-ai/db-gpt version v0.6.0, the web API `POST /api/v1/editor/chart/run` allows execution of arbitrary SQL queries without any access control. This vulnerability can be exploited by attackers to perform Arbitrary File Write, enabling them to write arbitrary files to the victim's file system. This can potentially lead to Remote Code Execution (RCE) by writing malicious files such as `__init__.py` in the Python's `/site-packages/` directory. | critical |
| CVE-2024-10835 | In eosphoros-ai/db-gpt version v0.6.0, the web API `POST /api/v1/editor/sql/run` allows execution of arbitrary SQL queries without any access control. This vulnerability can be exploited by attackers to perform Arbitrary File Write using DuckDB SQL, enabling them to write arbitrary files to the victim's file system. This can potentially lead to Remote Code Execution (RCE). | critical |
| CVE-2024-10834 | eosphoros-ai/db-gpt version 0.6.0 contains a vulnerability in the RAG-knowledge endpoint that allows for arbitrary file write. The issue arises from the ability to pass an absolute path to a call to `os.path.join`, enabling an attacker to write files to arbitrary locations on the target server. This vulnerability can be exploited by setting the `doc_file.filename` to an absolute path, which can lead to overwriting system files or creating new SSH-key entries. | critical |
| CVE-2024-10833 | eosphoros-ai/db-gpt version 0.6.0 is vulnerable to an arbitrary file write through the knowledge API. The endpoint for uploading files as 'knowledge' is susceptible to absolute path traversal, allowing attackers to write files to arbitrary locations on the target server. This vulnerability arises because the 'doc_file.filename' parameter is user-controllable, enabling the construction of absolute paths. | critical |
| CVE-2024-10831 | In eosphoros-ai/db-gpt version 0.6.0, the endpoint for uploading files is vulnerable to absolute path traversal. This vulnerability allows an attacker to upload arbitrary files to arbitrary locations on the target server. The issue arises because the `file_key` and `doc_file.filename` parameters are user-controllable, enabling the construction of paths outside the intended directory. This can lead to overwriting essential system files, such as SSH keys, for further exploitation. | critical |
| CVE-2024-10830 | A Path Traversal vulnerability exists in the eosphoros-ai/db-gpt version 0.6.0 at the API endpoint `/v1/resource/file/delete`. This vulnerability allows an attacker to delete any file on the server by manipulating the `file_key` parameter. The `file_key` parameter is not properly sanitized, enabling an attacker to specify arbitrary file paths. If the specified file exists, the application will delete it. | high |
| CVE-2024-10829 | A Denial of Service (DoS) vulnerability in the multipart request boundary processing mechanism of eosphoros-ai/db-gpt v0.6.0 allows unauthenticated attackers to cause excessive resource consumption. The server fails to handle excessive characters appended to the end of multipart boundaries, leading to an infinite loop and complete denial of service for all users. This vulnerability affects all endpoints processing multipart/form-data requests. | high |
| CVE-2024-10821 | A Denial of Service (DoS) vulnerability in the multipart request boundary processing mechanism of the Invoke-AI server (version v5.0.1) allows unauthenticated attackers to cause excessive resource consumption. The server fails to handle excessive characters appended to the end of multipart boundaries, leading to an infinite loop and a complete denial of service for all users. The affected endpoint is `/api/v1/images/upload`. | high |
| CVE-2024-10819 | A Cross-Site Request Forgery (CSRF) vulnerability in version 3.83 of binary-husky/gpt_academic allows an attacker to trick a user into uploading files without their consent, exploiting their session. This can lead to unauthorized file uploads and potential system compromise. The uploaded file can contain malicious scripts, leading to stored Cross-Site Scripting (XSS) attacks. Through stored XSS, an attacker can steal information about the victim and perform any action on their behalf. | high |
| CVE-2024-10812 | An open redirect vulnerability exists in binary-husky/gpt_academic version 3.83. The vulnerability occurs when a user is redirected to a URL specified by user-controlled input in the 'file' parameter without proper validation or sanitization. This can be exploited by attackers to conduct phishing attacks, distribute malware, and steal user credentials. | medium |
| CVE-2024-10762 | In lunary-ai/lunary before version 1.5.9, the /v1/evaluators/ endpoint allows users to delete evaluators of a project by sending a DELETE request. However, the route lacks proper access control, such as middleware to ensure that only users with appropriate roles can delete evaluator data. This vulnerability allows low-privilege users to delete evaluators data, causing permanent data loss and potentially hindering operations. | high |
| CVE-2024-10727 | A reflected cross-site scripting (XSS) vulnerability exists in phpipam/phpipam versions 1.5.0 through 1.6.0. The vulnerability arises when the application receives data in an HTTP request and includes that data within the immediate response in an unsafe manner. This allows an attacker to execute arbitrary JavaScript in the context of the user's browser, potentially leading to full compromise of the user. | medium |
| CVE-2024-10725 | A stored cross-site scripting (XSS) vulnerability exists in phpipam/phpipam version 1.5.2. This vulnerability allows an attacker to inject malicious scripts into the application, which are then executed in the context of other users who view the affected pages. The issue occurs when editing the NAT destination address, where user input is not properly sanitized. This can lead to data theft, account compromise, and other malicious activities. The vulnerability is fixed in version 1.7.0. | low |
| CVE-2024-10724 | A stored cross-site scripting (XSS) vulnerability exists in phpipam/phpipam version 1.5.2, specifically in the Subnet NAT translations section when editing the Destination address. This vulnerability allows an attacker to execute malicious code. The issue is fixed in version 1.7.0. | low |
| CVE-2024-10723 | A stored cross-site scripting (XSS) vulnerability was discovered in phpipam/phpipam version 1.5.2. This vulnerability allows an attacker to inject malicious scripts into the destination address field of the NAT tool, which can be executed when a user interacts with the field. The impact of this vulnerability includes the potential theft of user cookies, unauthorized access to user accounts, and redirection to malicious websites. The issue has been fixed in version 1.7.0. | low |
| CVE-2024-10722 | A stored cross-site scripting (XSS) vulnerability exists in phpipam/phpipam version 1.5.2. The vulnerability allows attackers to inject malicious scripts into the 'Description' field of custom fields in the 'IP RELATED MANAGEMENT' section. This can lead to data theft, account compromise, distribution of malware, website defacement, content manipulation, and phishing attacks. The issue is fixed in version 1.7.0. | low |
| CVE-2024-10721 | A stored cross-site scripting (XSS) vulnerability was discovered in phpipam/phpipam version 1.5.2. This vulnerability allows an attacker to inject malicious scripts into the application, which can be executed in the context of other users who view the affected page. The issue occurs in the circuits options page (https://demo.phpipam.net/tools/circuits/options/). An attacker can exploit this vulnerability to steal cookies, gain unauthorized access to user accounts, or redirect users to malicious websites. The vulnerability has been fixed in version 1.7.0. | medium |
| CVE-2024-10720 | A stored cross-site scripting (XSS) vulnerability exists in phpipam/phpipam version 1.5.2. The vulnerability occurs in the 'Device Management' section under 'Administration' where an attacker can inject malicious scripts into the 'Name' and 'Description' fields when adding a new device type. This can lead to data theft, account compromise, distribution of malware, website defacement, and phishing attacks. The issue is fixed in version 1.7.0. | high |
| CVE-2024-10719 | A stored cross-site scripting (XSS) vulnerability exists in phpipam version 1.5.2, specifically in the circuits options functionality. This vulnerability allows an attacker to inject malicious scripts via the 'option' parameter in the POST request to /phpipam/app/admin/circuits/edit-options-submit.php. The injected script can be executed in the context of the user's browser, leading to potential cookie theft and end-user file disclosure. The issue is fixed in version 1.7.0. | low |
| CVE-2024-10718 | In phpipam/phpipam version 1.5.1, the Secure attribute for sensitive cookies in HTTPS sessions is not set. This could cause the user agent to send those cookies in plaintext over an HTTP session, potentially exposing sensitive information. The issue is fixed in version 1.7.0. | medium |
| CVE-2024-10714 | A vulnerability in binary-husky/gpt_academic version 3.83 allows an attacker to cause a Denial of Service (DoS) by adding excessive characters to the end of a multipart boundary during file upload. This results in the server continuously processing each character and displaying warnings, rendering the application inaccessible. The issue occurs when the terminal shows a warning: 'multipart.multipart Consuming a byte '0x2d' in end state'. | high |
| CVE-2024-10713 | A vulnerability in szad670401/hyperlpr v3.0 allows for a Denial of Service (DoS) attack. The server fails to handle excessive characters appended to the end of multipart boundaries, regardless of the character used. This flaw can be exploited by sending malformed multipart requests with arbitrary characters at the end of the boundary, leading to excessive resource consumption and a complete denial of service for all users. The vulnerability is unauthenticated, meaning no user login or interaction is required for an attacker to exploit this issue. | high |
| CVE-2024-10707 | gaizhenbiao/chuanhuchatgpt version git d4ec6a3 is affected by a local file inclusion vulnerability due to the use of the gradio component gr.JSON, which has a known issue (CVE-2024-4941). This vulnerability allows unauthenticated users to access arbitrary files on the server by uploading a specially crafted JSON file and exploiting the improper input validation in the handle_dataset_selection function. | medium |
| CVE-2024-10650 | An unauthenticated Denial of Service (DoS) vulnerability was identified in ChuanhuChatGPT version 20240918, which could be exploited by sending large data payloads using a multipart boundary. Although a patch was applied for CVE-2024-7807, the issue can still be exploited by sending data in groups with 10 characters in a line, with multiple lines. This can cause the system to continuously process these characters, resulting in prolonged unavailability of the service. The exploitation now requires low privilege if authentication is enabled due to a version upgrade in Gradio. | high |
| CVE-2024-10648 | A path traversal vulnerability exists in the Gradio Audio component of gradio-app/gradio, as of version git 98cbcae. This vulnerability allows an attacker to control the format of the audio file, leading to arbitrary file content deletion. By manipulating the output format, an attacker can reset any file to an empty file, causing a denial of service (DOS) on the server. | high |
| CVE-2024-10624 | A Regular Expression Denial of Service (ReDoS) vulnerability exists in the gradio-app/gradio repository, affecting the gr.Datetime component. The affected version is git commit 98cbcae. The vulnerability arises from the use of a regular expression `^(?:\s*now\s*(?:-\s*(\d+)\s*([dmhs]))?)?\s*$` to process user input. In Python's default regex engine, this regular expression can take polynomial time to match certain crafted inputs. An attacker can exploit this by sending a crafted HTTP request, causing the gradio process to consume 100% CPU and potentially leading to a Denial of Service (DoS) condition on the server. | high |
| CVE-2024-10572 | In h2oai/h2o-3 version 3.46.0.1, the `run_tool` command exposes classes in the `water.tools` package through the `ast` parser. This includes the `XGBoostLibExtractTool` class, which can be exploited to shut down the server and write large files to arbitrary directories, leading to a denial of service. | high |
| CVE-2024-10569 | A vulnerability in the dataframe component of gradio-app/gradio (version git 98cbcae) allows for a zip bomb attack. The component uses pd.read_csv to process input values, which can accept compressed files. An attacker can exploit this by uploading a maliciously crafted zip bomb, leading to a server crash and causing a denial of service. | high |
| CVE-2024-10553 | A vulnerability in the h2oai/h2o-3 REST API versions 3.46.0.4 allows unauthenticated remote attackers to execute arbitrary code via deserialization of untrusted data. The vulnerability exists in the endpoints POST /99/ImportSQLTable and POST /3/SaveToHiveTable, where user-controlled JDBC URLs are passed to DriverManager.getConnection, leading to deserialization if a MySQL or PostgreSQL driver is available in the classpath. This issue is fixed in version 3.47.0. | critical |
| CVE-2024-10550 | A vulnerability in the `/3/ParseSetup` endpoint of h2oai/h2o-3 version 3.46.0.1 allows for a denial of service (DoS) attack. The endpoint applies a user-specified regular expression to a user-controllable string. This can be exploited by an attacker to cause inefficient regular expression complexity, leading to the exhaustion of server resources and making the server unresponsive. | high |
| CVE-2024-10549 | A vulnerability in the `/3/Parse` endpoint of h2oai/h2o-3 version 3.46.0.1 allows for a denial of service (DoS) attack. The endpoint uses a user-specified string to construct a regular expression, which is then applied to another user-specified string. By sending multiple simultaneous requests, an attacker can exhaust all available threads, leading to a complete denial of service. | high |
| CVE-2024-10513 | A path traversal vulnerability exists in the 'document uploads manager' feature of mintplex-labs/anything-llm, affecting the latest version prior to 1.2.2. This vulnerability allows users with the 'manager' role to access and manipulate the 'anythingllm.db' database file. By exploiting the vulnerable endpoint '/api/document/move-files', an attacker can move the database file to a publicly accessible directory, download it, and subsequently delete it. This can lead to unauthorized access to sensitive data, privilege escalation, and potential data loss. | high |
| CVE-2024-10481 | A CSRF vulnerability exists in comfyanonymous/comfyui versions up to v0.2.2. This vulnerability allows attackers to host malicious websites that, when visited by authenticated ComfyUI users, can perform arbitrary API requests on behalf of the user. This can be exploited to perform actions such as uploading arbitrary files via the `/upload/image` endpoint. The lack of CSRF protections on API endpoints like `/upload/image`, `/prompt`, and `/history` leaves users vulnerable to unauthorized actions, which could be combined with other vulnerabilities such as stored-XSS to further compromise user sessions. | medium |
| CVE-2024-10457 | Multiple Server-Side Request Forgery (SSRF) vulnerabilities were identified in the significant-gravitas/autogpt repository, specifically in the GitHub Integration and Web Search blocks. These vulnerabilities affect version agpt-platform-beta-v0.1.1. The issues arise when block inputs are controlled by untrusted sources, leading to potential credential leakage, internal network scanning, and unauthorized access to internal services, APIs, or data stores. The affected blocks include GithubListPullRequestsBlock, GithubReadPullRequestBlock, GithubAssignPRReviewerBlock, GithubListPRReviewersBlock, GithubUnassignPRReviewerBlock, GithubCommentBlock, GithubMakeIssueBlock, GithubReadIssueBlock, GithubListIssuesBlock, GithubAddLabelBlock, GithubRemoveLabelBlock, GithubListBranchesBlock, and ExtractWebsiteContentBlock. | medium |
| CVE-2024-10366 | An improper access control vulnerability (IDOR) exists in the delete attachments functionality of danny-avila/librechat version v0.7.5-rc2. The endpoint does not verify whether the provided attachment ID belongs to the current user, allowing any authenticated user to delete attachments of other users. | high |
| CVE-2024-10363 | In version 0.7.5 of danny-avila/LibreChat, there is an improper access control vulnerability. Users can share, use, and create prompts without being granted permission by the admin. This can break application logic and permissions, allowing unauthorized actions. | medium |
| CVE-2024-10361 | 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. | high |
