CVE Database

ERPNext is a free and open source Enterprise Resource Planning tool. Prior to 15.112.0 and 16.22.0, the merge_account, pause_job_for_doc, trigger_job_for_doc, change_release_date, and update_cost_center functions across erpnext/accounts/doctype/account/account.py, erpnext/accounts/doctype/process_payment_reconciliation/process_payment_reconciliation.py, erpnext/accounts/doctype/purchase_invoice/purchase_invoice.py, and erpnext/accounts/utils.py omit required write permission checks, allowing authenticated limited users to modify protected data beyond their roles. This issue is fixed in versions 15.112.0 and 16.22.0.

ERPNext is a free and open source Enterprise Resource Planning tool. Prior to 15.112.0 and 16.23.0, the ReceivablePayableReport prepare_conditions path in erpnext/accounts/report/accounts_receivable/accounts_receivable.py does not apply Customer and Supplier user permissions to the Payment Ledger Entry dynamic-link party field, allowing any authenticated user to read unauthorized cross-company financial data in Accounts Receivable and Accounts Payable reports. This issue is fixed in versions 15.112.0 and 16.23.0.

ERPNext is a free and open source Enterprise Resource Planning tool. Prior to 15.109.0 and 16.20.0, the get_tax_template function in erpnext/accounts/doctype/tax_rule/tax_rule.py constructs an SQL WHERE clause from request-influenced posting_date and args values, allowing an authenticated low-privilege user to inject SQL and extract sensitive information. This issue is fixed in versions 15.109.0 and 16.20.0.

ERPNext is a free and open source Enterprise Resource Planning tool. Prior to 15.111.0 and 16.22.0, the add_ac function in erpnext/accounts/utils.py accepts the ignore_permissions argument without enforcing Account create permission, allowing an authenticated limited user to create unauthorized accounting master records and affect financial data integrity and audit trails. This issue is fixed in versions 15.111.0 and 16.22.0.

ERPNext is a free and open source Enterprise Resource Planning tool. Prior to 15.111.0 and 16.22.0, the send_auto_email function in erpnext/accounts/doctype/process_statement_of_accounts/process_statement_of_accounts.py lacks a Process Statement Of Accounts permission check, allowing an authenticated low-privilege user to trigger automated emails outside the permitted role. This issue is fixed in versions 15.111.0 and 16.22.0.

Rejected reason: Further research determined the issue is not a vulnerability.

Firecrawl turns entire websites into LLM-ready markdown or structured data. Prior to 2.11.32, a critical arbitrary file read vulnerability exists in Firecrawl's extraction functionality due to unsafe schema dereferencing of user-supplied JSON schemas in apps/api/src/lib/extract/helpers/dereference-schema.ts. The affected code invokes the json-schema-ref-parser dependency with default resolver settings, allowing external and local file references to be resolved during schema processing. An authenticated attacker can supply a malicious schema containing a $ref within default, const, or enum fields that are not traversed by AJV validation. By triggering a dereference error, file contents from the extract worker filesystem may be included in persisted error messages returned through the extraction API, enabling arbitrary file reads and SSRF against internal or external HTTP endpoints. This issue is fixed in version 2.11.32.

Tabby (formerly Terminus) is a highly configurable terminal emulator. Prior to 1.0.235, a malicious SFTP server can return a backslash traversal filename through entry.name. In tabby-ssh/src/session/sftp.ts, SFTPSession.readdir() and _makeFile() use POSIX path processing that preserves the backslashes as ordinary filename characters. In tabby-ssh/src/components/sftpPanel.component.ts, downloadFolderRecursive() propagates item.name into the local relative path. In tabby-electron/src/services/platform.service.ts, ElectronDirectoryDownload.createFile() passes that path to Windows-native path.join(), and in tabby-electron/src/sftpContextMenu.ts, EditSFTPContextMenu.edit() passes item.name to path.join() for the temporary edit path. Windows interprets the preserved backslashes and parent-directory components as traversal, allowing attacker-controlled content to be created or overwritten outside the selected download directory or temporary edit directory. This issue is fixed in version 1.0.235.

SQLBot through 1.10.0, fixed in commit c3f40a5, contains a stored cross-site scripting vulnerability in the SQText dashboard component that renders TinyMCE output via v-html without sanitization. Attackers who can modify dashboard text widget content can inject arbitrary HTML and JavaScript that executes for all users viewing the dashboard.

A flaw was found in libvirt. A local attacker, specifically a process running as the confined `swtpm` user, could exploit a symlink-following vulnerability in the `virFileChownFiles()` function. By planting a symbolic link within the `swtpm` state directory, the attacker could trick the root-level libvirt daemon into changing the ownership of an arbitrary file to the `swtpm` user. This allows for privilege escalation from the `swtpm` sandbox to root-level file ownership control.

react-tracked provides state usage tracking with Proxies. Between 2026-05-18 19:26:36 and 2026-05-19 15:22:45, the default branch contained malicious commits 6978272a7d6ca02225cb747ea69f427512e33699 through 949f1a3d6bb1ff7d1a0dec892afd773e742627e8 that executed remote attacker-controlled code on developer machines during `npm install`. The commits were removed by force-push, but local clones, forks, and direct-SHA URLs may still contain them, and `npm install` against an affected checkout will still execute the code today. The package was not published to npm. `src/install.js` was added and wired into the `postinstall` script. It fetched a JavaScript payload from an attacker-controlled HTTPS endpoint (configurable via an environment variable), disabled TLS verification, and evaluated the response as code with `require` available. Execution was deliberately skipped on CI and cloud/serverless environments, targeting developer workstations. The second-stage payload was attacker-hosted and cannot be reconstructed. Assume full compromise of anything reachable from a Node process with the user's permissions. Those who ran `npm install` against an affected checkout on a developer machine on or after 2026-05-18 19:26:36 should treat the machine as compromised, rotate every credential the machine could reach, audit account activity** since 2026-05-18 19:26:36, and clean local clones.

A NULL pointer vulnerability has been found in the the shim application of dp.c library. A missing NULL pointer could allow attackers to perform a denial of service attack on a system that uses shim application for UEFI bootloader.

A flaw was found in the RHOAI training-operator. This vulnerability allows a user with standard edit or admin roles in any Kubernetes namespace to escalate their privileges. Through the creation of training jobs, an attacker can impersonate service accounts, access the host filesystem, and potentially execute arbitrary code remotely. This issue arises from the aggregation of training job permissions onto native Kubernetes edit and admin ClusterRoles, coupled with unrestricted PodTemplateSpec passthrough.

A flaw was found in the Red Hat OpenShift AI (RHOAI) overlay for the training operator. The RHOAI overlay incorrectly aggregates `trainjobs` management permissions into the native Kubernetes `edit ClusterRole`. This allows any user with `edit ClusterRole` permissions in a namespace to create, modify, and delete `TrainJobs`. When combined with a separate vulnerability (TRN-01) that permits arbitrary pod configurations, a remote attacker with namespace editor privileges could exploit this to escalate privileges, potentially leading to arbitrary code execution.

A flaw was found in odh-dashboard. An authenticated user of the dashboard can exploit a vulnerability related to how RoleBindings are created. The system does not properly validate the `roleRef` field, allowing a user to specify an arbitrary role, including highly privileged ones like `cluster-admin`. This can lead to privilege escalation, where an attacker gains unauthorized elevated access within their namespace and potentially persistent control over the system.

A flaw was found in odh-dashboard. This vulnerability allows an attacker, who has compromised the dashboard's Service Account (SA) token, to exploit overly broad permissions granted to the SA. This enables the attacker to escalate their privileges to cluster-administrator level, gain access to sensitive data like credentials and keys across the entire cluster, and disrupt multi-tenant isolation.

A flaw was found in Feast. The system improperly deserializes user-defined functions (UDFs) stored in its registry, which are serialized using the 'dill' library. This allows a remote attacker to store a malicious UDF, leading to unauthenticated arbitrary code execution on the feature server in default configurations. An authenticated attacker can also achieve arbitrary code execution on the registry server by bypassing authorization checks during deserialization. This vulnerability can result in cross-tenant data access and lateral movement within the system.

A flaw was found in Feast. An authorization bypass vulnerability exists in the /materialize and /materialize-incremental endpoints. By sending a specially crafted request that omits the feature_views field, an attacker can bypass intended permission checks. This allows an unauthenticated remote attacker, or any authenticated user, to trigger a full re-materialization of all feature views. The consequence is a Denial of Service (DoS) due to data corruption and significant resource consumption across all tenants.

A flaw was found in the Feast operator. A malicious tenant could inject arbitrary code into their feature repository. This code would be executed by an automated process with elevated privileges, allowing the tenant to steal sensitive credentials. This could lead to a direct escalation of privileges, granting the tenant administrative control over the Kubernetes cluster.

A flaw was found in Feast and feast-operator. The default configuration for both the Feast SDK and the feast-operator is "no_auth," meaning no security manager is installed. This default allows unauthenticated and unauthorized access to feature-server, registry-server, and offline-server endpoints. A remote attacker, by exploiting this missing authentication, could achieve remote code execution (RCE) by storing a malicious User-Defined Function (UDF) on the feature-server, trigger a denial of service (DoS) by forcing re-materialization of all tenant features, and gain unauthorized access to cross-tenant data.

A flaw was found in Data Science Pipelines (DSP). An attacker with namespace editor privileges can bypass security hardening by submitting a malicious Argo Workflow through the V1 API path. This allows the API server to create pods with elevated privileges, acting as a 'confused deputy' on behalf of the attacker. Successful exploitation grants the attacker node-root access, enabling arbitrary code execution and full control over the underlying node.

A flaw was found in Data Science Pipelines. A restricted user, or tenant, can exploit an improper authorization vulnerability in the setDefaultServiceAccount function. By specifying a more privileged ServiceAccount (SA) during a CreateRun request, an attacker can bypass authorization checks. This allows the tenant to run their containers with elevated privileges, potentially leading to the disclosure of sensitive information (secrets) and the ability to execute commands within other users' pods.

A flaw was found in ml-metadata. The statically-linked gRPC stack in ml-metadata is outdated, making it vulnerable to known HTTP/2 denial of service (DoS) issues. An in-cluster attacker, with network access to the MLMD pod, could exploit these vulnerabilities by sending specially crafted HTTP/2 requests. This could lead to a denial of service by crashing the MLMD pod, disrupting all pipeline runs in the affected namespace.

A flaw was found in the Data Science Pipelines Operator (DSPO). A namespace editor can exploit a vulnerability in the spec.database.customExtraParams field, which allows for the injection of dangerous parameters into the MySQL Data Source Name (DSN) string. By manipulating these parameters, an attacker can enable LOCAL INFILE functionality and exfiltrate sensitive files, such as the service account token, from the operator pod. This can lead to privilege escalation, allowing a namespace editor to gain cluster-admin privileges.

A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure.

A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster.

A flaw was found in the `odh-model-controller`. An authenticated user with permissions to create custom resources can exploit a vulnerability in the `loadSecret` function. This function improperly reads the Secret namespace from user-controlled input without validation. This allows an attacker to read sensitive API keys and cloud credentials from other namespaces, leading to information disclosure.

A flaw was found in the TrustyAI Service (TAS) deployment. This vulnerability allows any pod on the cluster network to bypass authentication and directly access the TAS backend API. An attacker can exploit this to read, tamper with, or delete monitoring data and configurations, and inject arbitrary data into the service, potentially disrupting tenant operations.

A flaw was found in the trustyai-service-operator's LMEvalJob controller. An authenticated user within the cluster can exploit this vulnerability by configuring a sidecar container to bypass existing security policies. This allows the user to enable and execute untrusted remote code, leading to arbitrary code execution within the cluster.

A flaw was found in the MaaS API. This vulnerability allows any pod within the cluster to bypass the Kuadrant AuthPolicy gateway by forging HTTP headers, specifically `X-MaaS-Username` and `X-MaaS-Group`, which are trusted verbatim. This lack of first-party authentication enables an attacker to gain unauthorized access and escalate privileges. The concrete consequences include the ability to mint Kubernetes ServiceAccount tokens in other tenants' namespaces, revoke API keys, and exfiltrate sensitive model access configuration.