| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| BabelDOC is a document translation tool. Prior to 0.6.3, BabelDOC's vendored PDF parser in babeldoc/pdfminer/cmapdb.py deserializes untrusted pickle data when CMapDB._load_data() loads CMap files. PDF-controlled Encoding or CMapName values and embedded PostScript usecmap operators can reach this sink after path separators are decoded, while _normalize_cmap_name() removes only a leading slash. Absolute paths or traversal sequences can escape the trusted CMap directories through os.path.join(), select an attacker-writable .pickle.gz file, and cause pickle.loads() to execute arbitrary Python code with the privileges of the BabelDOC process. This issue is fixed in version 0.6.3. |
| 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. |
| A reflected cross-site scripting (XSS) vulnerability in reportico-web <= 8.1.0 allows remote attackers to execute arbitrary JavaScript in the web browser of a user by including a malicious payload in the loadTemplate parameter in conjunction with the execute_mode=PREPARE parameter of run.php. |
| A reflected cross-site scripting (XSS) vulnerability in reportico-web <= 8.1.0 allows remote attackers to execute arbitrary JavaScript in the web browser of a user by including a malicious payload in the reportico_criteria parameter in conjunction with the execute_mode=CRITERIA parameter of run.php. |
| Cross-Site Request Forgery (CSRF) vulnerability exists in Halo CMS versions up to 2.25.4 via the CorsConfigurer.java and the CsrfConfigurer.java components. This allows a remote attacker to execute arbitrary code. |
| Buffer Overflow vulnerability in Open5GS v.2.7.0 allows a remote attacker to cause a denial of service via the NAS 5GS decoder chain, triggered when the message type byte of a NAS PDU is mutated |
| The Creative Mail – Easier WordPress & WooCommerce Email Marketing plugin for WordPress is vulnerable to SQL Injection via the 'checkout_uuid' parameter in all versions up to, and including, 1.6.9. This is due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query in the `has_checkout_consent()` method. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database. |
| DiscordChatExporter saves Discord chat logs to a file. Prior to 2.47.2, HTML exports generated with markdown formatting disabled pass attacker-controlled content through FormatMarkdownAsync and FormatEmbedMarkdownAsync in DiscordChatExporter.Core/Exporting/MessageGroupTemplate.cshtml and render it without HTML entity encoding. The affected fields include message.Content, message.ForwardedMessage.Content, message.ReferencedMessage.Content, embed.Title, embed.Description, field.Name, and field.Value. A Discord webhook or bot can store a script payload in these fields, and the payload executes when a user exports the channel with markdown formatting disabled and opens the resulting HTML, allowing the script to read the export or alter its displayed content. This issue is fixed in version 2.47.2. |
| reserved but not needed |
| Vulnerability in the Oracle Hyperion Financial Reporting product of Oracle Hyperion (component: Server). The supported version that is affected is 11.2.25.0.000. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Hyperion Financial Reporting. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Hyperion Financial Reporting accessible data. CVSS 3.1 Base Score 7.5 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N). |
| Vulnerability in the Siebel CRM Deployment product of Oracle Siebel CRM (component: Installation). Supported versions that are affected are 17.0-26.6. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Siebel CRM Deployment executes to compromise Siebel CRM Deployment. Successful attacks of this vulnerability can result in takeover of Siebel CRM Deployment. CVSS 3.1 Base Score 7.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H). |
| Vulnerability in the Siebel Apps - Marketing product of Oracle Siebel CRM (component: Marketing). Supported versions that are affected are 17.0-26.6. Difficult to exploit vulnerability allows unauthenticated attacker with network access via HTTP to compromise Siebel Apps - Marketing. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Siebel Apps - Marketing accessible data as well as unauthorized access to critical data or complete access to all Siebel Apps - Marketing accessible data. CVSS 3.1 Base Score 7.4 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N). |
| UAC (Unix-like Artifacts Collector) versions prior to 3.3.0 contain a command injection vulnerability in the _command_collector function where foreach command output lines are substituted directly into command strings via sed without proper escaping before being evaluated with eval. Attackers can exploit this by crafting malicious filenames or artifact definitions containing shell metacharacters such as command substitution syntax or semicolons to execute arbitrary commands on the analyst's host system. |
| Missing input validation in the threat intelligence feed parser in the OpenSearch Security Analytics plugin might allow an authenticated remote user to perform server-side request forgery and read local files via a crafted URL parameter to the threat intel source configuration endpoint. |
