| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| In Splunk Enterprise versions below 10.4.2 and 10.2.6, a user who does not hold the "admin" or "power" Splunk roles could delete all Search Processing Language 2 (SPL2) modules across all apps and users on the instance through the SPL2 module management Representational State Transfer (REST) API. This could delete exported datasets and functions, affect system integrity, and cause partial service disruption. The vulnerability does not affect Splunk Enterprise versions below 10.2. The vulnerability is possible because the SPL2 module management REST API does not sufficiently authorize and validate module deletion requests. For more information see Manage SPL2 modules (https://help.splunk.com/en/splunk-enterprise/search/spl2-search-manual/multiple-searches-in-an-spl2-module/manage-spl2-modules) and Module permissions (https://help.splunk.com/en/splunk-enterprise/search/spl2-search-manual/modules-statements-and-views/module-permissions) in the Splunk documentation. |
| In Splunk Enterprise 10.4 versions below 10.4.2, an unauthenticated user could cause Splunk Enterprise to reload token-signing keys through the Representational State Transfer (REST) API. The vulnerability does not affect Splunk Enterprise versions below 10.4. The vulnerability is possible because the REST API does not require authentication or the change_authentication capability for the token-key reload action. For more information see Define roles on the Splunk platform with capabilities (https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.4/manage-splunk-platform-users-and-roles/define-roles-on-the-splunk-platform-with-capabilities) in the Splunk documentation. |
| In Splunk Enterprise versions below 10.4.2, a user with a high-privilege Splunk role that can manage search head clustering could use the search head cluster member bundle Representational State Transfer (REST) API to write files to locations that the user account running Splunk Enterprise can write to, which could allow for remote code execution. Successful exploitation could result in access to all relevant data and could affect the integrity and availability of the Splunk deployment. The vulnerability does not affect Splunk Enterprise versions below 10.4. The vulnerability is possible because the search head cluster member bundle REST API does not enforce the expected authorization boundary and does not validate bundle paths before accepting bundle content. For more information see Using the REST API reference (https://help.splunk.com/en/splunk-enterprise/rest-api-reference/10.2/introduction/using-the-rest-api-reference), About configuring role-based user access (https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.2/manage-splunk-platform-users-and-roles/about-configuring-role-based-user-access), and About distributed search (https://help.splunk.com/en/splunk-enterprise/administer/distributed-search/9.4/overview-of-distributed-search/about-distributed-search) in the Splunk documentation. |
| In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, a low-privileged user that does not hold the "admin" or "power" Splunk roles could inject Structured Query Language (SQL) through the Representational State Transfer (REST) API, causing Splunk Enterprise to evaluate attacker-controlled text as part of a database query. The SQL injection is possible because the REST API incorporates user-supplied filter values into database queries without proper neutralization. |
| FUXA is a web-based Process Visualization (SCADA/HMI/Dashboard) software. Prior to 1.3.2, the DEVICE_WEBAPI_REQUEST and DEVICE_PROPERTY Socket.IO handlers in server/runtime/index.js omit isSocketWriteAuthorized and accept attacker-controlled property.address or endpoint connection data. A remote unauthenticated attacker can make server/runtime/devices/httprequest/index.js call axios.get against arbitrary HTTP or HTTPS destinations, connect to reachable OPC UA or ODBC services, and receive results through the corresponding Socket.IO event. This read SSRF oracle can expose cloud instance metadata, internal administrative services, industrial endpoints, and ODBC data reachable from the FUXA host, including when secureEnabled is true. This issue is fixed in version 1.3.2. |
| Logto is the modern, open-source auth infrastructure for SaaS and AI apps. Prior to 1.41.0, Logto's email subaddressing blocklist in packages/core/src/libraries/sign-in-experience/email-blocklist-policy.ts used the attacker-controlled domain from email input to construct subaddressingRegex when blockSubaddressing was enabled. The permissive emailRegEx accepted multiple at signs and regular expression metacharacters, and POST /api/experience/verification/verification-code could therefore cause catastrophic backtracking in subaddressingRegex.test(email). The resulting event-loop stall could make authentication, token issuance, SSO, and the administrative console unavailable. This issue is fixed in version 1.41.0. |
| BuildKit is a toolkit for converting source code to build artifacts in an efficient, expressive and repeatable manner. Prior to 0.31.1, BuildKit read attacker-controlled /etc/passwd and /etc/group files without an upper bound while resolving a username to a user identifier or group identifier in executor/oci/user.go and solver/llbsolver/ops/user_linux.go. A malicious base image or build could provide oversized files that exhausted memory during user resolution and caused out-of-memory termination of the buildkitd process. This issue is fixed in version 0.31.1. |
| Sandbox escape in the Remote Settings Client component. This vulnerability was fixed in Firefox 154 and Thunderbird 154. |
| Vulnerability in the Oracle Hospitality Simphony product of Oracle Food and Beverage Applications (component: POS). Supported versions that are affected are 19.8-19.8.5, 19.9-19.9.3 and 19.10-19.10.1. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Hospitality Simphony. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Hospitality Simphony accessible data and unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Hospitality Simphony. CVSS 3.1 Base Score 9.1 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H). |
| Vulnerability in the Oracle Identity Manager product of Oracle Fusion Middleware (component: OIM Legacy UI). Supported versions that are affected are 12.2.1.4.0 and 14.1.2.1.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Identity Manager. Successful attacks of this vulnerability can result in takeover of Oracle Identity Manager. CVSS 3.1 Base Score 9.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H). |
| Vulnerability in the Oracle WebCenter Portal product of Oracle Fusion Middleware (component: Composer). Supported versions that are affected are 12.2.1.4.0 and 14.1.2.0.0. Easily exploitable vulnerability allows low privileged attacker with network access via RMI to compromise Oracle WebCenter Portal. Successful attacks of this vulnerability can result in takeover of Oracle WebCenter Portal. CVSS 3.1 Base Score 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H). |
| An application using Micrometer Tracing with W3C baggage propagation in the Brave bridge is vulnerable to denial of service (DoS) due to unbounded object allocation when extracting incoming baggage headers.
Specifically, an application is vulnerable when all the following are true:
* The application uses a vulnerable version of io.micrometer:micrometer-tracing-bridge-brave.
* W3C propagation is active (either configured manually or active by default, such as in Spring Boot 3.x+).
* Baggage propagation is enabled (which is the default in Spring Boot 3.x+) and a baggage manager (such as BraveBaggageManager) is configured to handle baggage fields.
* The application processes requests or messages from untrusted sources with baggage headers which it normally should not, see: https://www.w3.org/TR/trace-context/#security-considerations .
* Network components including the (HTTP) server that receives the request do not limit the header size or the limit is high enough to cause issues.
The last two points are very important: normally this should not affect applications because they should not receive untrusted and unlimited input for baggage.
* The application processes requests or messages from untrusted sources with baggage headers.
When extracting baggage from the W3C baggage header, incoming entries are parsed without enforcing limits on the number of entries or header size as mandated by the W3C Baggage specification. An attacker can send requests or messages with artificially inflated baggage headers containing many key-value pairs, causing unconditional BaggageField allocations per entry. This leads to garbage collection pressure, high CPU usage, and potential application crash via OutOfMemoryError. |
| UAC (Unix-like Artifacts Collector) versions prior to 3.3.0 contain a command injection vulnerability in the user substitution logic within parse_artifact.sh where usernames and home directories from /etc/passwd are substituted directly into command strings without escaping before execution via eval. Attackers can inject shell metacharacters such as command substitution syntax or semicolons through crafted usernames or home directory paths in /etc/passwd entries to execute arbitrary commands on the analyst's host system. |
| In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could access and delete all relevant data in experiment history, including data associated with other users. The vulnerability is possible because Splunk AI Toolkit does not preserve the trusted experiment scope when it processes caller-controlled query values before accessing restricted history data. For more information see Experiment Assistants (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.6.4/experiment-assistants) in the Splunk documentation. |
| In Splunk AI Toolkit versions below 6.0.0, a user that holds a role with the schedule_search capability could cause a scheduled search to load and deserialize a model file through the apply search command. The improper access control is possible because Splunk AI Toolkit does not mark the apply search command as risky. For more information see Troubleshoot the AI Toolkit (https://help.splunk.com/en/splunk-enterprise/apply-machine-learning/use-ai-toolkit/5.7.3/troubleshooting-the-ai-toolkit/troubleshoot-the-ai-toolkit) in the Splunk documentation. |
| In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit deserializes sparse matrix data without guarding against embedded pickle content. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation. |
| In Splunk AI Toolkit versions below 6.0.0, a low-privileged user who does not hold the "admin" or "power" Splunk roles could start, stop, and configure containers, and read or modify connection and configuration data through the Representational State Transfer (REST) API. The missing authorization is possible because multiple REST API handlers in Splunk AI Toolkit do not enforce authorization checks. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation. |
| In Splunk AI Toolkit versions below 6.0.0, a user who can upload models could overwrite a model being uploaded by another user by sending a concurrent upload request for the same model name, causing the resulting model lookup entry to reference attacker-controlled content. The race condition is possible because Splunk AI Toolkit does not verify that the uploaded content belongs to the request that creates the model lookup entry. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation. |
| In Splunk AI Toolkit versions below 6.0.0, a user who does not hold the "admin" or "power" Splunk roles could obtain predictable or default credentials for connected container services. The use of hard-coded credentials is possible because Splunk AI Toolkit generates or stores credentials for connected container services using predictable or hard-coded default values. For more information see Connections tab in the AI Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.7.2/ai-toolkit-commands-macros-and-visualizations/connections-tab-in-the-ai-toolkit) in the Splunk documentation. |
| In Splunk AI Toolkit versions below 6.0.0, a user who does not hold the "admin" or "power" Splunk roles could run searches with system-level privileges, access all relevant data, affect system integrity, and read or delete search jobs belonging to other users through Agent Run History. The improper privilege management is possible because the Agent Run History handler replaces the calling user session key with a system authentication token before it performs search operations. For more information see AI Toolkit Agent Launchpad (https://help.splunk.com/en/splunk-enterprise/apply-machine-learning/use-ai-toolkit/6.0.0/ai-toolkit-connections-containers-and-agents/ai-toolkit-agent-launchpad) in the Splunk documentation. |
