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🚨 CVE-2026-76392
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.

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🚨 CVE-2026-76393
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.

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🚨 CVE-2026-76394
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.

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🚨 CVE-2026-76395
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.

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🚨 CVE-2026-76396
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.

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🚨 CVE-2026-76397
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.

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🚨 CVE-2026-13097
A privilege escalation flaw was found in FreeIPA. The uniqueness constraint enforced on Kerberos principal name attributes in the 389-ds directory server does not properly account for equivalent representations of the same principal name, allowing a user with sufficient LDAP write privileges to create a service principal that impersonates an existing privileged one. This can lead to unauthorized acquisition of Kerberos service tickets for sensitive services, potentially resulting in full domain compromise.

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🚨 CVE-2026-63044
Server-Side Request Forgery (SSRF) vulnerability in Apache InLong.  Any authenticated user (no admin role required) can cause the InLong Manager server to make outbound HTTP requests or TCP connections to
arbitrary internal hosts and ports.

This issue affects Apache InLong: from 2.0.0 before 2.4.0.



Users are advised to upgrade to Apache InLong's 2.4.0 or cherry-pick [1] to solve it.

[1]  https://github.com/apache/inlong/pull/12130 .

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🚨 CVE-2026-76017
Use after free in Chromoting in Google Chrome prior to 151.0.7922.173 allowed a remote attacker to execute arbitrary code outside the sandbox via crafted network traffic. (Chromium security severity: Critical)

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🚨 CVE-2026-76018
Privilege elevation in Import in Google Chrome prior to 151.0.7922.173 allowed a remote attacker leveraging social engineering to potentially execute arbitrary code outside the sandbox via a crafted file. (Chromium security severity: High)

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🚨 CVE-2026-76019
Incorrect authorization in Workers in Google Chrome prior to 151.0.7922.173 allowed a remote attacker who had compromised the renderer process and leveraged social engineering to bypass web origin policy via a crafted HTML page. (Chromium security severity: High)

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🚨 CVE-2026-76020
Race condition in V8 in Google Chrome prior to 151.0.7922.173 allowed a remote attacker to execute arbitrary code inside the sandbox via a crafted HTML page. (Chromium security severity: High)

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🚨 CVE-2026-76022
Buffer overflow in Network in Google Chrome prior to 151.0.7922.173 allowed a remote attacker to execute arbitrary code outside the sandbox via a crafted HTML page. (Chromium security severity: High)

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🚨 CVE-2026-63046
Improper Neutralization of Argument Delimiters in a Command ('Argument Injection') vulnerability in Apache InLong. Agent Installer's ModuleManager executes arbitrary shell
commands via ExcuteLinux.exeCmd() with no filtering or whitelist
validation.

This issue affects Apache InLong: from 2.0.0 before 2.4.0.



Users are advised to upgrade to Apache InLong's 2.4.0 or cherry-pick [1]/[2] to solve it.

[1]  https://github.com/apache/inlong/pull/12151 .

[2]  https://github.com/apache/inlong/pull/12155 .

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🚨 CVE-2026-41449
UAC (Unix-like Artifacts Collector) versions prior to 3.3.0 contain a command injection vulnerability in the _run_command function that allows attackers to execute arbitrary commands by injecting shell metacharacters into untrusted data such as usernames, process names, or filenames. Attackers can exploit this vulnerability through crafted evidence inputs, mounted images with hostile filenames, or tampered artifact definitions to achieve remote code execution on the analyst's host when processing evidence.

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🚨 CVE-2026-62675
Omnigent is an open-source AI agent framework and meta-harness for orchestrating coding agents. Prior to 0.3.0, multipart POST /v1/sessions accepts an authenticated user's agent bundle and omnigent/server/bundles.py validate_agent_bundle does not reject a tools..callable dotted Python path. omnigent/runner/tool_dispatch.py _resolve_spec_callable imports the specified module and _execute_spec_callable_tool invokes the resolved function, allowing a bundle to select subprocess.check_output and execute a local command with the runner process permissions. This can expose runner files, environment variables, credentials, workspace data, internal services, and availability without administrator access. This issue is fixed in version 0.3.0.

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🚨 CVE-2026-70656
Checkmate is an open-source, self-hosted tool designed to track and monitor server hardware, uptime, response times, and incidents in real-time with beautiful visualizations. From 3.5.1 until 3.9.2, an authenticated admin or superadmin can set matchMethod to regex and place a malicious expression in the expectedValue field for advanced HTTP monitor matching. server/src/api/validation/monitorValidation.ts accepts the expression, and server/src/service/network/AdvancedMatcher.ts synchronously evaluates it against an attacker-controlled HTTP response body on the Node.js main event loop without a timeout or worker isolation, allowing catastrophic backtracking to freeze API endpoints, monitor checks, and WebSocket connections for all users. This issue is fixed in version 3.9.2.

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🚨 CVE-2026-35163
OctoPrint provides a web interface for controlling consumer 3D printers. Prior to 1.11.8 and 2.0.0rc3, Suppressed Command notification popups use PNotify rendering for printer-controlled payload.command and payload.message values in src/octoprint/static/js/app/viewmodels/terminal.js without HTML escaping. An attacker who convinces a victim to print a crafted file can inject HTML and JavaScript into the notification, disrupt prints, read information available to the victim including sensitive settings when permitted, or perform actions in the victim's OctoPrint session. This issue is fixed in versions 1.11.8 and 2.0.0rc3.

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🚨 CVE-2026-53762
VeraCrypt provides disk encryption with strong security based on TrueCrypt. Prior to 1.26.29, non-default builds created with WOLFCRYPT=1 and WOLFCRYPT_BACKEND route SHA-256 and SHA-512 volume-header key derivation through derive_key_sha256 and derive_key_sha512 in src/Crypto/wolfCrypt.c, where the configured iterations value is discarded and wc_HKDF is used instead of PBKDF2-HMAC. Changing the PIM or iteration count therefore does not increase derivation cost, allowing an attacker with an affected container, disk image, or volume header to perform substantially cheaper offline password guesses. Official precompiled VeraCrypt binaries and normal distribution packages use the standard PBKDF2 backend and are not affected. Volumes created by an affected WOLFCRYPT=1 build require backup and recreation because corrected builds derive different keys. This issue is fixed in version 1.26.29.

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🚨 CVE-2026-54071
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.

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🚨 CVE-2026-54134
OctoPrint provides a web interface for controlling consumer 3D printers. Prior to 1.11.8 and 2.0.0rc3, OctoPrint's custom Tornado upload handler and Flask with Werkzeug parse request parameters differently, allowing an attacker with FILE_UPLOAD permission to inject reserved internal upload fields through query parameters or parser differentials despite the earlier GHSA-m9jh-jf9h-x3h2 fix. The affected endpoints are /api/files/{local|sdcard}, /api/languages, /plugin/backup/restore, and /plugin/pluginmanager/upload_file. An attacker can make OctoPrint treat an arbitrary host file as a temporary upload, move it into a downloadable upload directory, disclose configuration secrets or other readable files, and remove runtime files in a way that can affect a later restart. This issue is fixed in versions 1.11.8 and 2.0.0rc3.

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