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| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2026-60731 | 1 Oracle | 1 Webcenter Portal | 2026-08-21 | 8.8 High |
| 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). | ||||
| CVE-2026-59323 | 1 Vmware | 1 Spring | 2026-08-21 | 5.3 Medium |
| 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. | ||||
| CVE-2026-41451 | 1 Tclahr | 1 Uac | 2026-08-21 | 7.8 High |
| 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. | ||||
| CVE-2026-76397 | 1 Splunk | 2 Ai Toolkit, Splunk Ai Toolkit | 2026-08-21 | 8.1 High |
| 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. | ||||
| CVE-2026-76396 | 1 Splunk | 2 Ai Toolkit, Splunk Ai Toolkit | 2026-08-21 | 7.5 High |
| 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. | ||||
| CVE-2026-76395 | 1 Splunk | 2 Ai Toolkit, Splunk Ai Toolkit | 2026-08-21 | 8.8 High |
| 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. | ||||
| CVE-2026-76394 | 1 Splunk | 2 Ai Toolkit, Splunk Ai Toolkit | 2026-08-21 | 8.3 High |
| 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. | ||||
| CVE-2026-76393 | 1 Splunk | 2 Ai Toolkit, Splunk Ai Toolkit | 2026-08-21 | 5.9 Medium |
| 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. | ||||
| CVE-2026-76392 | 1 Splunk | 1 Ai Toolkit | 2026-08-21 | 5.4 Medium |
| 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. | ||||
| CVE-2026-76391 | 1 Splunk | 1 Ai Toolkit | 2026-08-21 | 8.3 High |
| 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. | ||||
| CVE-2026-74581 | 1 Linux | 1 Linux Kernel | 2026-08-21 | 7.8 High |
| In the Linux kernel, the following vulnerability has been resolved: net: ipv6: clear suppressed fib6 rule result fib6_rule_suppress() drops a suppressed route with ip6_rt_put_flags(), but leaves res->rt6 pointing at the released rt6_info. If no later rule supplies a replacement, fib6_rule_lookup() still sees res.rt6 and returns that stale dst to its caller. A suppressing rule can therefore leak a released route back to rt6_lookup(), and the next put hits rcuref_put_slowpath() from dst_release(). Clear res->rt6 when suppressing the route so suppressed lookups fall through to the null dst instead of reusing the released one. | ||||
| CVE-2026-3985 | 2 Constantcontact, Wordpress | 2 Creative Mail – Easier Wordpress & Woocommerce Email Marketing, Wordpress | 2026-08-21 | 7.5 High |
| 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. | ||||
| CVE-2026-56875 | 2026-08-21 | N/A | ||
| reserved but not needed | ||||
| CVE-2026-60391 | 1 Oracle | 1 Hyperion Financial Reporting | 2026-08-21 | 7.5 High |
| 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). | ||||
| CVE-2026-60753 | 1 Oracle | 1 Siebel Crm Deployment | 2026-08-21 | 7.8 High |
| 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). | ||||
| CVE-2026-60803 | 1 Oracle | 1 Siebel Apps - Marketing | 2026-08-21 | 7.4 High |
| 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). | ||||
| CVE-2026-41450 | 1 Tclahr | 1 Uac | 2026-08-21 | 7.8 High |
| 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. | ||||
| CVE-2026-18952 | 3 Amazon, Aws, Github | 3 Aws Opensearch, Opensearch, Opensearch | 2026-08-21 | 8.1 High |
| 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. | ||||
| CVE-2026-77814 | 1 Zanllp | 1 Sd-webui-infinite Image Browsing | 2026-08-21 | 7.5 High |
| is_path_trusted in scripts/iib/api.py compares the requested path against each allowed parent directory with path.startswith(parent_path), without appending a path separator. A directory whose name merely begins with an allowed path therefore satisfies the comparison, so where /data/images is allowed a request for /data/images_private/secret.txt is treated as trusted and served by FileResponse, disclosing files the confinement was meant to exclude. Whether the check applies depends on get_enable_access_control in scripts/iib/tool.py: it returns true when IIB_ACCESS_CONTROL is set to enable, false when set to disable, and otherwise true when the host Stable Diffusion WebUI was started with share, ngrok, listen or server_name, falling back to false. Confinement is therefore active in the network-exposed WebUI deployments that rely on it, while a standalone run with no such option serves every readable file regardless of this flaw. The fix compares against parent_path joined with os.sep. | ||||
| CVE-2026-77806 | 1 Spip | 1 Spip | 2026-08-21 | 9.8 Critical |
| SPIP before 4.4.21 allows unauthenticated remote attackers to execute arbitrary code, as exploited in the wild in August 2026. This is related to code injection via an X-Spip-Filtre HTTP request header that is mishandled by analyse_resultat_skel. | ||||