Vulnerabilities (CVE)

In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to delete prompts created in other organizations through ID manipulation. The vulnerability stems from the application's failure to validate the ownership of the prompt before deletion, only checking if the user has permissions to delete such resources without verifying if it belongs to the user's project or organization. As a result, users can remove prompts not owned by their organizati ... In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to delete prompts created in other organizations through ID manipulation. The vulnerability stems from the application's failure to validate the ownership of the prompt before deletion, only checking if the user has permissions to delete such resources without verifying if it belongs to the user's project or organization. As a result, users can remove prompts not owned by their organization or project, leading to legitimate users being unable to access the removed prompts and causing information inconsistencies.

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In lunary-ai/lunary version 1.2.2, an account hijacking vulnerability exists due to a password reset token leak. A user with a 'viewer' role can exploit this vulnerability to hijack another user's account by obtaining the password reset token. The vulnerability is triggered when the 'viewer' role user sends a specific request to the server, which responds with a password reset token in the 'recoveryToken' parameter. This token can then be used to reset the password of another user's account with ... In lunary-ai/lunary version 1.2.2, an account hijacking vulnerability exists due to a password reset token leak. A user with a 'viewer' role can exploit this vulnerability to hijack another user's account by obtaining the password reset token. The vulnerability is triggered when the 'viewer' role user sends a specific request to the server, which responds with a password reset token in the 'recoveryToken' parameter. This token can then be used to reset the password of another user's account without authorization. The issue results from an excessive attack surface, allowing lower-privileged users to escalate their privileges and take over accounts.

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lunary-ai/lunary version 1.9.34 is vulnerable to an account takeover due to improper authentication in the Google OAuth integration. The application fails to verify the 'aud' (audience) field in the access token issued by Google, which is crucial for ensuring the token is intended for the application. This oversight allows attackers to use tokens issued to malicious applications to gain unauthorized access to user accounts. The issue is resolved in version 1.9.35.

lunary-ai/lunary versions prior to 1.9.24 are vulnerable to stored cross-site scripting (XSS). An unauthenticated attacker can inject malicious JavaScript into the `v1/runs/ingest` endpoint by adding an empty `citations` field, triggering a code path where `dangerouslySetInnerHTML` is used to render attacker-controlled text. This vulnerability allows the execution of arbitrary JavaScript in the context of the user's browser, potentially leading to session hijacking, data theft, or other maliciou ... lunary-ai/lunary versions prior to 1.9.24 are vulnerable to stored cross-site scripting (XSS). An unauthenticated attacker can inject malicious JavaScript into the `v1/runs/ingest` endpoint by adding an empty `citations` field, triggering a code path where `dangerouslySetInnerHTML` is used to render attacker-controlled text. This vulnerability allows the execution of arbitrary JavaScript in the context of the user's browser, potentially leading to session hijacking, data theft, or other malicious actions.

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A critical stored Cross-Site Scripting (XSS) vulnerability exists in the Analytics component of lunary-ai/lunary versions up to 1.9.23, where the NEXT_PUBLIC_CUSTOM_SCRIPT environment variable is directly injected into the DOM using dangerouslySetInnerHTML without any sanitization or validation. This allows arbitrary JavaScript execution in all users' browsers if an attacker can control the environment variable during deployment or through server compromise. The vulnerability can lead to complet ... A critical stored Cross-Site Scripting (XSS) vulnerability exists in the Analytics component of lunary-ai/lunary versions up to 1.9.23, where the NEXT_PUBLIC_CUSTOM_SCRIPT environment variable is directly injected into the DOM using dangerouslySetInnerHTML without any sanitization or validation. This allows arbitrary JavaScript execution in all users' browsers if an attacker can control the environment variable during deployment or through server compromise. The vulnerability can lead to complete account takeover, data exfiltration, malware distribution, and persistent attacks affecting all users until the environment variable is cleaned. The issue is fixed in version 1.9.25.

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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 ... 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.

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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 ... 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.

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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 check ... 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.

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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.

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 ... 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.

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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 larg ... 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.

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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 lunary-ai/lunary version 1.3.2 allows an attacker to update the SAML configuration without authorization. This vulnerability can lead to manipulation of authentication processes, fraudulent login requests, and theft of user information. Appropriate access controls should be implemented to ensure that the SAML configuration can only be updated by authorized users.

lunary-ai/lunary v1.2.26 contains an email injection vulnerability in the Send email verification API (/v1/users/send-verification) and Sign up API (/auth/signup). An unauthenticated attacker can inject data into outgoing emails by bypassing the extractFirstName function using a different whitespace character (e.g., \xa0). This vulnerability can be exploited to conduct phishing attacks, damage the application's brand, cause legal and compliance issues, and result in financial impact due to unaut ... lunary-ai/lunary v1.2.26 contains an email injection vulnerability in the Send email verification API (/v1/users/send-verification) and Sign up API (/auth/signup). An unauthenticated attacker can inject data into outgoing emails by bypassing the extractFirstName function using a different whitespace character (e.g., \xa0). This vulnerability can be exploited to conduct phishing attacks, damage the application's brand, cause legal and compliance issues, and result in financial impact due to unauthorized email usage.

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An improper access control vulnerability exists in lunary-ai/lunary at the latest commit (a761d83) on the main branch. The vulnerability allows an attacker to use the auth tokens issued by the 'invite user' functionality to obtain valid JWT tokens. These tokens can be used to compromise target users upon registration for their own arbitrary organizations. The attacker can invite a target email, obtain a one-time use token, retract the invite, and later use the token to reset the password of the ... An improper access control vulnerability exists in lunary-ai/lunary at the latest commit (a761d83) on the main branch. The vulnerability allows an attacker to use the auth tokens issued by the 'invite user' functionality to obtain valid JWT tokens. These tokens can be used to compromise target users upon registration for their own arbitrary organizations. The attacker can invite a target email, obtain a one-time use token, retract the invite, and later use the token to reset the password of the target user, leading to full account takeover.

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In version 1.2.7 of lunary-ai/lunary, any authenticated user, regardless of their role, can change the name of an organization due to improper access control. The function checkAccess() is not implemented, allowing users with the lowest privileges, such as the 'Prompt Editor' role, to modify organization attributes without proper authorization.

In lunary-ai/lunary version 1.2.4, an improper access control vulnerability allows members with team management permissions to manipulate project identifiers in requests, enabling them to invite users to projects in other organizations, change members to projects in other organizations with escalated privileges, and change members from other organizations to their own or other projects, also with escalated privileges. This vulnerability is due to the backend's failure to validate project identif ... In lunary-ai/lunary version 1.2.4, an improper access control vulnerability allows members with team management permissions to manipulate project identifiers in requests, enabling them to invite users to projects in other organizations, change members to projects in other organizations with escalated privileges, and change members from other organizations to their own or other projects, also with escalated privileges. This vulnerability is due to the backend's failure to validate project identifiers against the current user's organization ID and projects belonging to it, as well as a misconfiguration in attribute naming (`org_id` should be `orgId`) that prevents proper user organization validation. As a result, attackers can cause inconsistencies on the platform for affected users and organizations, including unauthorized privilege escalation. The issue is present in the backend API endpoints for user invitation and modification, specifically in the handling of project IDs in requests.

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An Incorrect Authorization vulnerability exists in lunary-ai/lunary versions up to and including 1.2.2, which allows unauthenticated users to delete any dataset. The vulnerability is due to the lack of proper authorization checks in the dataset deletion endpoint. Specifically, the endpoint does not verify if the provided project ID belongs to the current user, thereby allowing any dataset to be deleted without proper authentication. This issue was fixed in version 1.2.8.

An improper access control vulnerability exists in the lunary-ai/lunary repository, specifically within the versions.patch functionality for updating prompts. Affected versions include 1.2.2 up to but not including 1.2.25. The vulnerability allows unauthorized users to update prompt details due to insufficient access control checks. This issue was addressed and fixed in version 1.2.25.

An improper access control vulnerability exists in lunary-ai/lunary versions up to and including 1.2.2, where an admin can update any organization user to the organization owner. This vulnerability allows the elevated user to delete projects within the organization. The issue is resolved in version 1.2.7.

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 ... 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.

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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.

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 ot ... 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.

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In lunary-ai/lunary version 1.5.6, the `/v1/evaluators/` endpoint lacks proper access control, allowing any user associated with a project to fetch all evaluator data regardless of their role. This vulnerability permits low-privilege users to access potentially sensitive evaluation data.

In version 1.5.5 of lunary-ai/lunary, a vulnerability exists where admins, who do not have direct permissions to access billing resources, can change the permissions of existing users to include billing permissions. This can lead to a privilege escalation scenario where an administrator can manage billing, effectively bypassing the intended role-based access control. Only users with the 'owner' role should be allowed to invite members with billing permissions. This flaw allows admins to circumve ... In version 1.5.5 of lunary-ai/lunary, a vulnerability exists where admins, who do not have direct permissions to access billing resources, can change the permissions of existing users to include billing permissions. This can lead to a privilege escalation scenario where an administrator can manage billing, effectively bypassing the intended role-based access control. Only users with the 'owner' role should be allowed to invite members with billing permissions. This flaw allows admins to circumvent those restrictions, gaining unauthorized access and control over billing information, posing a risk to the organization’s financial resources.

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An improper authorization vulnerability exists in lunary-ai/lunary version 1.5.5. The /users/me/org endpoint lacks adequate access control mechanisms, allowing unauthorized users to access sensitive information about all team members in the current organization. This vulnerability can lead to the disclosure of sensitive information such as names, roles, or emails to users without sufficient privileges, resulting in privacy violations and potential reconnaissance for targeted attacks.

In lunary-ai/lunary v1.5.0, improper privilege management in the models.ts file allows users with viewer roles to modify models owned by others. The PATCH endpoint for models does not have appropriate privilege checks, enabling low-privilege users to update models they should not have access to modify. This vulnerability could lead to unauthorized changes in critical resources, affecting the integrity and reliability of the system.

lunary-ai/lunary is vulnerable to broken access control in the latest version. An attacker can view the content of any dataset without any kind of authorization by sending a GET request to the /v1/datasets endpoint without a valid authorization token.

In lunary-ai/lunary, the privilege check mechanism is flawed in version git afc5df4. The system incorrectly identifies certain endpoints as public if the path contains '/auth/' anywhere within it. This allows unauthenticated attackers to access sensitive endpoints by including '/auth/' in the path. As a result, attackers can obtain and modify sensitive data and utilize other organizations' resources without proper authentication.

In lunary-ai/lunary before version 1.6.3, the application allows the creation of evaluators without enforcing a unique constraint on the combination of projectId and slug. This allows an attacker to overwrite existing data by submitting a POST request with the same slug as an existing evaluator. The lack of database constraints or application-layer validation to prevent duplicates exposes the application to data integrity issues. This vulnerability can result in corrupted data and potentially ma ... In lunary-ai/lunary before version 1.6.3, the application allows the creation of evaluators without enforcing a unique constraint on the combination of projectId and slug. This allows an attacker to overwrite existing data by submitting a POST request with the same slug as an existing evaluator. The lack of database constraints or application-layer validation to prevent duplicates exposes the application to data integrity issues. This vulnerability can result in corrupted data and potentially malicious actions, impairing the system's functionality.

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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.

lunary-ai/lunary is vulnerable to an authentication issue due to improper validation of email addresses during the signup process. Specifically, the server fails to treat email addresses as case insensitive, allowing the creation of multiple accounts with the same email address by varying the case of the email characters. For example, accounts for '[email protected]' and '[email protected]' can both be created, leading to potential impersonation and confusion among users.

In lunary-ai/lunary version v1.4.29, the GET /projects API endpoint exposes both public and private API keys for all projects to users with minimal permissions, such as Viewers or Prompt Editors. This vulnerability allows unauthorized users to retrieve sensitive credentials, which can be used to perform actions on behalf of the project, access private data, and delete resources. The private API keys are exposed in the developer tools when the endpoint is called from the frontend.

A Regular Expression Denial of Service (ReDoS) vulnerability exists in lunary-ai/lunary version git f07a845. The server uses the regex /{.*?}/ to match user-controlled strings. In the default JavaScript regex engine, this regex can take polynomial time to match certain crafted user inputs. As a result, an attacker can cause the server to hang for an arbitrary amount of time by submitting a specially crafted payload. This issue is fixed in version 1.4.26.

A stored cross-site scripting (XSS) vulnerability exists in lunary-ai/lunary versions 1.6.7 and earlier. An attacker can inject malicious JavaScript into the SAML IdP XML metadata, which is used to generate the SAML login redirect URL. This URL is then set as the value of `window.location.href` without proper validation or sanitization. This vulnerability allows the attacker to execute arbitrary JavaScript in the context of the user's browser, potentially leading to session hijacking, data theft ... A stored cross-site scripting (XSS) vulnerability exists in lunary-ai/lunary versions 1.6.7 and earlier. An attacker can inject malicious JavaScript into the SAML IdP XML metadata, which is used to generate the SAML login redirect URL. This URL is then set as the value of `window.location.href` without proper validation or sanitization. This vulnerability allows the attacker to execute arbitrary JavaScript in the context of the user's browser, potentially leading to session hijacking, data theft, or other malicious actions. The issue is fixed in version 1.7.10.

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In lunary-ai/lunary version 1.2.2, an incorrect synchronization vulnerability allows unprivileged users to rename projects they do not have access to. Specifically, an unprivileged user can send a PATCH request to the project's endpoint with a new name for a project, despite not having the necessary permissions or being assigned to the project. This issue allows for unauthorized modification of project names, potentially leading to confusion or unauthorized access to project resources.

An Improper Access Control vulnerability exists in lunary-ai/lunary version 1.2.2, where users can view and update any prompts in any projects due to insufficient access control checks in the handling of PATCH and GET requests for template versions. This vulnerability allows unauthorized users to manipulate or access sensitive project data, potentially leading to data integrity and confidentiality issues.

lunary-ai/lunary version 1.0.1 is vulnerable to improper authorization, allowing removed members to read, create, modify, and delete prompt templates using an old authorization token. Despite being removed from an organization, these members can still perform operations on prompt templates by sending HTTP requests with their previously captured authorization token. This issue exposes organizations to unauthorized access and manipulation of sensitive template data.