🚨 CVE-2026-9018
The Easy Elements for Elementor – Addons & Website Templates plugin for WordPress is vulnerable to Privilege Escalation in all versions up to, and including, 1.4.5 via the `easyel_handle_register()` function. This is due to the `wp_ajax_nopriv_eel_register` AJAX handler iterating the attacker-controlled `custom_meta` POST array and writing every supplied key-value pair to the newly created user's meta via `update_user_meta()` without any key whitelist or blocklist, allowing the `wp_capabilities` user meta key to be overwritten after `wp_insert_user()` has already assigned a safe role. This makes it possible for unauthenticated attackers to register a new account with full administrator-level privileges by supplying `custom_meta[wp_capabilities][administrator]=1`. Exploitation requires that user registration is enabled on the site and that at least one page exposes the Login/Register widget, which publishes the required `easy_elements_nonce` into the page DOM where it can be retrieved by any unauthenticated visitor via a simple GET request.
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The Easy Elements for Elementor – Addons & Website Templates plugin for WordPress is vulnerable to Privilege Escalation in all versions up to, and including, 1.4.5 via the `easyel_handle_register()` function. This is due to the `wp_ajax_nopriv_eel_register` AJAX handler iterating the attacker-controlled `custom_meta` POST array and writing every supplied key-value pair to the newly created user's meta via `update_user_meta()` without any key whitelist or blocklist, allowing the `wp_capabilities` user meta key to be overwritten after `wp_insert_user()` has already assigned a safe role. This makes it possible for unauthenticated attackers to register a new account with full administrator-level privileges by supplying `custom_meta[wp_capabilities][administrator]=1`. Exploitation requires that user registration is enabled on the site and that at least one page exposes the Login/Register widget, which publishes the required `easy_elements_nonce` into the page DOM where it can be retrieved by any unauthenticated visitor via a simple GET request.
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🚨 CVE-2026-9277
shell-quote's `quote()` function did not validate object-token inputs against the operator model used by `parse()`. The `.op` field was backslash-escaped character by character using `/(.)/g`, which in JavaScript does not match line terminators (\n, \r, U+2028, U+2029). A line terminator in `.op` therefore passed through unescaped into the output; POSIX shells treat a literal newline as a command separator, so any content after it would execute as a second command. The vulnerable code path is reachable in two ways: (1) direct construction of `{ op: '...\n...' }` from external input, and (2) via `parse(cmd, envFn)` when `envFn` returns object tokens whose `.op` is attacker-influenced. Both are documented API surface. Fixed by replacing the per-character escape with strict shape validation: `.op` must match the parser's control-operator allowlist; `{ op: 'glob', pattern }` validates `pattern` and forbids line terminators; `{ comment }` validates `comment` and forbids line terminators; any other object shape throws `TypeError`.
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shell-quote's `quote()` function did not validate object-token inputs against the operator model used by `parse()`. The `.op` field was backslash-escaped character by character using `/(.)/g`, which in JavaScript does not match line terminators (\n, \r, U+2028, U+2029). A line terminator in `.op` therefore passed through unescaped into the output; POSIX shells treat a literal newline as a command separator, so any content after it would execute as a second command. The vulnerable code path is reachable in two ways: (1) direct construction of `{ op: '...\n...' }` from external input, and (2) via `parse(cmd, envFn)` when `envFn` returns object tokens whose `.op` is attacker-influenced. Both are documented API surface. Fixed by replacing the per-character escape with strict shape validation: `.op` must match the parser's control-operator allowlist; `{ op: 'glob', pattern }` validates `pattern` and forbids line terminators; `{ comment }` validates `comment` and forbids line terminators; any other object shape throws `TypeError`.
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GitHub
GitHub - ljharb/shell-quote
Contribute to ljharb/shell-quote development by creating an account on GitHub.
🚨 CVE-2026-40607
Mantis Bug Tracker (MantisBT) is an open source issue tracker. In versions 2.11.0 through 2.28.1, a Stored XSS vulnerability is caused by incorrect escaping of a saved filter's owner, allowing an attacker to inject arbitrary HTML on systems where $g_show_user_realname = ON. Note that By default, only users with Manager access level or above can save their filters publicly. This issue has been fixed in version 2.28.2. If developers are unable to update immediately, they can work around this issue by preventing display of users' real names (set $g_ show_user_realname = OFF; in configuration), and restricting the ability to store filters (set $g_stored_query_create_threshold / $g_stored_query_create_shared_threshold to NOBODY).
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Mantis Bug Tracker (MantisBT) is an open source issue tracker. In versions 2.11.0 through 2.28.1, a Stored XSS vulnerability is caused by incorrect escaping of a saved filter's owner, allowing an attacker to inject arbitrary HTML on systems where $g_show_user_realname = ON. Note that By default, only users with Manager access level or above can save their filters publicly. This issue has been fixed in version 2.28.2. If developers are unable to update immediately, they can work around this issue by preventing display of users' real names (set $g_ show_user_realname = OFF; in configuration), and restricting the ability to store filters (set $g_stored_query_create_threshold / $g_stored_query_create_shared_threshold to NOBODY).
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GitHub
Fix XSS in manage_filter_page.php · mantisbt/mantisbt@44f490b
Escape the filter owner for display.
Fixes #37015, GHSA-f633-865q-2mhh
Fixes #37015, GHSA-f633-865q-2mhh
🚨 CVE-2026-40610
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.38 and prior, the build packaging workflow follows attacker-controlled symlinks inside the build context and copies the referenced file contents into the generated Bento artifact. If a victim builds an untrusted repository or other attacker-supplied build context, the attacker can place a symlink such as loot.txt -> /tmp/outside-marker.txt or a link to a more sensitive local file. When bentoml build runs, BentoML dereferences the symlink and packages the target file contents into the Bento. The leaked file can then propagate further through export, push, or containerization workflows. An attacker can exfiltrate local files from the build host into the Bento artifact, exposing secrets such as cloud credentials, SSH keys, API tokens, environment files, or other sensitive local configurations. Because Bento artifacts are commonly exported, uploaded, stored, or containerized after build, the leaked file contents can spread beyond the original build machine. This issue has been fixed in version 1.4.39.
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BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.38 and prior, the build packaging workflow follows attacker-controlled symlinks inside the build context and copies the referenced file contents into the generated Bento artifact. If a victim builds an untrusted repository or other attacker-supplied build context, the attacker can place a symlink such as loot.txt -> /tmp/outside-marker.txt or a link to a more sensitive local file. When bentoml build runs, BentoML dereferences the symlink and packages the target file contents into the Bento. The leaked file can then propagate further through export, push, or containerization workflows. An attacker can exfiltrate local files from the build host into the Bento artifact, exposing secrets such as cloud credentials, SSH keys, API tokens, environment files, or other sensitive local configurations. Because Bento artifacts are commonly exported, uploaded, stored, or containerized after build, the leaked file contents can spread beyond the original build machine. This issue has been fixed in version 1.4.39.
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GitHub
fix: prevent following symlinks when copying files in BentoStore (#5598) · bentoml/BentoML@5fb7cd4
Signed-off-by: Frost Ming <me@frostming.com>
🚨 CVE-2026-5817
The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trust_remote_code=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.from_pretrained() to import and execute arbitrary Python files included in any model pulled from an OCI registry, resulting in arbitrary code execution on the Docker host as the Docker Desktop user when inference is triggered.
Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model and request inference.
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The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trust_remote_code=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.from_pretrained() to import and execute arbitrary Python files included in any model pulled from an OCI registry, resulting in arbitrary code execution on the Docker host as the Docker Desktop user when inference is triggered.
Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model and request inference.
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Docker Documentation
Docker Desktop release notes
Find the Docker Desktop release notes for Mac, Linux, and Windows.
🚨 CVE-2026-5843
The MLX inference backend in Docker Model Runner on macOS uses the MLX-LM library, which unconditionally imports and executes arbitrary Python files from model directories via the model_file configuration field in config.json. When a model's config.json specifies a model_file pointing to a Python file, MLX-LM uses importlib to load and execute it with no trust_remote_code gate or equivalent safety check. The MLX backend runs without sandboxing, resulting in arbitrary code execution on the Docker host as the Docker Desktop user.
Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model from an attacker-controlled OCI registry and request inference.
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The MLX inference backend in Docker Model Runner on macOS uses the MLX-LM library, which unconditionally imports and executes arbitrary Python files from model directories via the model_file configuration field in config.json. When a model's config.json specifies a model_file pointing to a Python file, MLX-LM uses importlib to load and execute it with no trust_remote_code gate or equivalent safety check. The MLX backend runs without sandboxing, resulting in arbitrary code execution on the Docker host as the Docker Desktop user.
Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model from an attacker-controlled OCI registry and request inference.
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Docker Documentation
Docker Desktop release notes
Find the Docker Desktop release notes for Mac, Linux, and Windows.
🚨 CVE-2026-3294
An authentication logic vulnerability in multiple TP-Link range extenders allows an unauthenticated attacker on an adjacent network to manipulate a login parameter and reset the administrator password due to insufficient validation.
Successful exploitation allows an attacker to obtain full administrative control of the affected device, potentially impacting on confidentiality, integrity, and availability.
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An authentication logic vulnerability in multiple TP-Link range extenders allows an unauthenticated attacker on an adjacent network to manipulate a login parameter and reset the administrator password due to insufficient validation.
Successful exploitation allows an attacker to obtain full administrative control of the affected device, potentially impacting on confidentiality, integrity, and availability.
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TP-Link
Download for RE305 | TP-Link
TP Link - Download Center Detail
🚨 CVE-2026-40864
JupyterHub is software that allows users to create a multi-user server for Jupyter notebooks. In versions 4.1.0 through 5.4.4, XSRF protection (updated in 4.1.0) inappropriately treated requests with Sec-Fetch-Mode: no-cors as same-origin requests, bypassing XSRF checks. The JSON API is not affected, only HTTP form endpoints, such as /hub/spawn and /hub/accept-share, meaning attackers could trigger server spawn (but not access the server) and if the attacker is a JupyterHub user permitted to share access to their server, cause a user to accept a share and have access to the attacker's server. This issue has been fixed in version 5.4.5. If developers are unable to immediately upgrade, they can temporarily mitigate this issue by dropping requests to JupyterHub with Sec-Fetch-Mode: no-cors if they are using a reverse proxy.
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JupyterHub is software that allows users to create a multi-user server for Jupyter notebooks. In versions 4.1.0 through 5.4.4, XSRF protection (updated in 4.1.0) inappropriately treated requests with Sec-Fetch-Mode: no-cors as same-origin requests, bypassing XSRF checks. The JSON API is not affected, only HTTP form endpoints, such as /hub/spawn and /hub/accept-share, meaning attackers could trigger server spawn (but not access the server) and if the attacker is a JupyterHub user permitted to share access to their server, cause a user to accept a share and have access to the attacker's server. This issue has been fixed in version 5.4.5. If developers are unable to immediately upgrade, they can temporarily mitigate this issue by dropping requests to JupyterHub with Sec-Fetch-Mode: no-cors if they are using a reverse proxy.
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GitHub
don't skip xsrf check for no-cors · jupyterhub/jupyterhub@9c5ec27
Multi-user server for Jupyter notebooks. Contribute to jupyterhub/jupyterhub development by creating an account on GitHub.
🚨 CVE-2026-41069
libheif is a HEIF and AVIF file format decoder and encoder. In versions 1.21.2 and prior, a malformed HEIF sequence file can trigger an out-of-bounds read in core sequence parsing logic, causing DoS. A malformed file can have stco.entry_count == 0 (creating no chunks) while still passing validation because saio.entry_count == 0 matches, but with saiz.sample_count > 0 the SampleAuxInfoReader constructor still enters its loop. This leads to an out-of-bounds dereference on the empty chunks[0] in chunked mode.
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libheif is a HEIF and AVIF file format decoder and encoder. In versions 1.21.2 and prior, a malformed HEIF sequence file can trigger an out-of-bounds read in core sequence parsing logic, causing DoS. A malformed file can have stco.entry_count == 0 (creating no chunks) while still passing validation because saio.entry_count == 0 matches, but with saiz.sample_count > 0 the SampleAuxInfoReader constructor still enters its loop. This leads to an out-of-bounds dereference on the empty chunks[0] in chunked mode.
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GitHub
Release v1.22.0 - generic image components, ISO/IEC 23001-17 (lossless images) rewrite · strukturag/libheif
This is a large release with substantial new functionality, mainly focusing on generalized image formats (e.g., multi-spectral images) and a reworked implementation of ISO/IEC 23001-17 (lossless im...
🚨 CVE-2026-41071
libheif is a HEIF and AVIF file format decoder and encoder. In versions 1.21.2 and prior, a crafted HEIF sequence file where the saiz box declares more samples than actually exist in the track's chunk table causes a heap-buffer-overflow (out-of-bounds read) in the SampleAuxInfoReader constructor. The SampleAuxInfoReader constructor iterates over saiz->get_num_samples() samples but doesn't validate that this count is consistent with the number of chunks in the chunks vector. When saiz declares more samples than the chunks cover, the loop increments current_chunk past chunks.size(), causing an out-of-bounds read on the chunks vector. The vulnerability is triggered during file parsing (heif_context_read_from_file) without any additional user interaction. Any application using libheif to open untrusted HEIF files is affected. This issue has been fixed in version 1.22.0.
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libheif is a HEIF and AVIF file format decoder and encoder. In versions 1.21.2 and prior, a crafted HEIF sequence file where the saiz box declares more samples than actually exist in the track's chunk table causes a heap-buffer-overflow (out-of-bounds read) in the SampleAuxInfoReader constructor. The SampleAuxInfoReader constructor iterates over saiz->get_num_samples() samples but doesn't validate that this count is consistent with the number of chunks in the chunks vector. When saiz declares more samples than the chunks cover, the loop increments current_chunk past chunks.size(), causing an out-of-bounds read on the chunks vector. The vulnerability is triggered during file parsing (heif_context_read_from_file) without any additional user interaction. Any application using libheif to open untrusted HEIF files is affected. This issue has been fixed in version 1.22.0.
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GitHub
Release v1.22.0 - generic image components, ISO/IEC 23001-17 (lossless images) rewrite · strukturag/libheif
This is a large release with substantial new functionality, mainly focusing on generalized image formats (e.g., multi-spectral images) and a reworked implementation of ISO/IEC 23001-17 (lossless im...
🚨 CVE-2026-41073
RT is an open source, enterprise-grade issue and ticket tracking system. Versions prior to 5.0.10 and 6.0.0 through 6.0.2 contain a spreadsheet (CSV/formula) injection vulnerability. User-controlled data in spreadsheet exports is not sanitized before being written to the output file, which can cause spreadsheet applications to interpret crafted values as formulas or macros when the file is opened. This issue has been fixed in versions 5.0.10 and 6.0.3. If developers are unable to upgrade immediately, they can temporarily work around this issue by avoiding opening exported RT spreadsheet files directly in spreadsheet applications when the data may contain untrusted user input.
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RT is an open source, enterprise-grade issue and ticket tracking system. Versions prior to 5.0.10 and 6.0.0 through 6.0.2 contain a spreadsheet (CSV/formula) injection vulnerability. User-controlled data in spreadsheet exports is not sanitized before being written to the output file, which can cause spreadsheet applications to interpret crafted values as formulas or macros when the file is opened. This issue has been fixed in versions 5.0.10 and 6.0.3. If developers are unable to upgrade immediately, they can temporarily work around this issue by avoiding opening exported RT spreadsheet files directly in spreadsheet applications when the data may contain untrusted user input.
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GitHub
Release rt-5.0.10 · bestpractical/rt
RT 5.0.10 -- 2026-05-20
RT 5.0.10 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for de...
RT 5.0.10 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for de...
🚨 CVE-2026-41074
RT is an open source, enterprise-grade issue and ticket tracking system. Versions 6.0.0 through 6.0.2 contain a Cross-Site Request Forgery (CSRF) vulnerability. An attacker who can induce a logged-in RT user to visit a malicious web page can trigger arbitrary state-changing actions in RT on that user's behalf. This issue has been fixed in version 6.0.3.
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RT is an open source, enterprise-grade issue and ticket tracking system. Versions 6.0.0 through 6.0.2 contain a Cross-Site Request Forgery (CSRF) vulnerability. An attacker who can induce a logged-in RT user to visit a malicious web page can trigger arbitrary state-changing actions in RT on that user's behalf. This issue has been fixed in version 6.0.3.
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GitHub
Release rt-6.0.3 · bestpractical/rt
RT 6.0.3 -- 2026-05-20
RT 6.0.3 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for deta...
RT 6.0.3 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for deta...
🚨 CVE-2026-41075
RT is an open source, enterprise-grade issue and ticket tracking system. Versions 5.0.0 through 5.0.9 and 6.0.0 through 6.0.2 contain an SQL injection vulnerability. An authenticated user can craft input that is incorporated into database queries without proper validation, potentially allowing them to read or modify data in the RT database. This issue has been fixed in versions 5.0.10 and 6.0.3. If developers are unable to upgrade immediately, they can temporarily work around this issue by restricting RT account access to trusted users.
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RT is an open source, enterprise-grade issue and ticket tracking system. Versions 5.0.0 through 5.0.9 and 6.0.0 through 6.0.2 contain an SQL injection vulnerability. An authenticated user can craft input that is incorporated into database queries without proper validation, potentially allowing them to read or modify data in the RT database. This issue has been fixed in versions 5.0.10 and 6.0.3. If developers are unable to upgrade immediately, they can temporarily work around this issue by restricting RT account access to trusted users.
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GitHub
Release rt-5.0.10 · bestpractical/rt
RT 5.0.10 -- 2026-05-20
RT 5.0.10 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for de...
RT 5.0.10 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for de...
🚨 CVE-2026-41076
RT is an open source, enterprise-grade issue and ticket tracking system. Versions 5.0.9 and prior in addition to 6.0.0 through 6.0.2 contain an authentication bypass vulnerability in RT installations that use LDAP/AD for user authentication. Under certain LDAP server configurations, an attacker may be able to authenticate as any LDAP-backed RT user without supplying valid credentials. This issue has been fixed in versions 5.0.10 and 6.0.3. If developers are unable to upgrade immediately, they can temporarily work around this issue by reviewing their LDAP server's authentication policy to ensure it rejects unauthenticated bind attempts. Upgrading RT remains the recommended fix.
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RT is an open source, enterprise-grade issue and ticket tracking system. Versions 5.0.9 and prior in addition to 6.0.0 through 6.0.2 contain an authentication bypass vulnerability in RT installations that use LDAP/AD for user authentication. Under certain LDAP server configurations, an attacker may be able to authenticate as any LDAP-backed RT user without supplying valid credentials. This issue has been fixed in versions 5.0.10 and 6.0.3. If developers are unable to upgrade immediately, they can temporarily work around this issue by reviewing their LDAP server's authentication policy to ensure it rejects unauthenticated bind attempts. Upgrading RT remains the recommended fix.
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GitHub
Release rt-5.0.10 · bestpractical/rt
RT 5.0.10 -- 2026-05-20
RT 5.0.10 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for de...
RT 5.0.10 is now available for general use. This release addresses
several security issues and it is recommended that all users upgrade
as soon as possible. See below for de...
🚨 CVE-2026-23652
Improper neutralization of special elements used in a command ('command injection') in Microsoft Power Pages allows an unauthorized attacker to execute code over a network.
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Improper neutralization of special elements used in a command ('command injection') in Microsoft Power Pages allows an unauthorized attacker to execute code over a network.
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🚨 CVE-2026-23663
Improper privilege management in Azure Entra ID allows an unauthorized attacker to elevate privileges over a network.
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Improper privilege management in Azure Entra ID allows an unauthorized attacker to elevate privileges over a network.
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🚨 CVE-2026-26147
Improper input validation in Azure Compute Gallery allows an authorized attacker to disclose information over a network.
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Improper input validation in Azure Compute Gallery allows an authorized attacker to disclose information over a network.
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🚨 CVE-2026-33843
Authentication bypass using an alternate path or channel in Microsoft Azure Active Directory B2C allows an unauthorized attacker to elevate privileges over a network.
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Authentication bypass using an alternate path or channel in Microsoft Azure Active Directory B2C allows an unauthorized attacker to elevate privileges over a network.
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🚨 CVE-2026-35430
Authorization bypass through user-controlled key in Azure Privileged Identity Management (PIM) allows an authorized attacker to elevate privileges over a network.
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Authorization bypass through user-controlled key in Azure Privileged Identity Management (PIM) allows an authorized attacker to elevate privileges over a network.
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🚨 CVE-2026-40411
Improper input validation in Azure Virtual Network Gateway allows an authorized attacker to execute code over a network.
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Improper input validation in Azure Virtual Network Gateway allows an authorized attacker to execute code over a network.
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🚨 CVE-2026-40412
Unrestricted upload of file with dangerous type in Azure Orbital Spatio allows an unauthorized attacker to execute code over a network.
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Unrestricted upload of file with dangerous type in Azure Orbital Spatio allows an unauthorized attacker to execute code over a network.
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