๐จ CVE-2026-49114
In ONNX before 1.21.0, the 'save_external_data' function builds the external-data file path from the model's external_data location field and opens it for writing without 'O_NOFOLLOW/O_EXCL', after a non-atomic 'os.path.isfile()' check. A local attacker with write access to the directory where a victim serializes external data can deterministically pre-plant a symlink that is being followed, causing the victim's write to append to any file the victim can write, e.g. ~/.ssh/authorized_keys, cron files, or application configs. Fixed in 1.21.0.
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In ONNX before 1.21.0, the 'save_external_data' function builds the external-data file path from the model's external_data location field and opens it for writing without 'O_NOFOLLOW/O_EXCL', after a non-atomic 'os.path.isfile()' check. A local attacker with write access to the directory where a victim serializes external data can deterministically pre-plant a symlink that is being followed, causing the victim's write to append to any file the victim can write, e.g. ~/.ssh/authorized_keys, cron files, or application configs. Fixed in 1.21.0.
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GitHub
TOCTOU arbitrary file read/write in save_external_dat
### Summary
The `save_external_data` method seems to include multiple issues introducing a local TOCTOU vulnerability, an arbitrary file read/write on any system. It potentially includes a path ...
The `save_external_data` method seems to include multiple issues introducing a local TOCTOU vulnerability, an arbitrary file read/write on any system. It potentially includes a path ...
๐จ CVE-2026-81665
A heap-based buffer overflow was found in Corosync's Totem Process Group (totempg) message reassembly. When processing fragmented multicast messages, the buffer used to reassemble fragments lacks a runtime bounds check in release builds. A network-adjacent attacker able to send crafted multicast protocol messages to the cluster could cause a heap buffer overflow with attacker-controlled data. This can crash the Corosync daemon, causing a denial of service to the entire cluster, and may potentially allow further exploitation given sufficient heap-corruption control.
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A heap-based buffer overflow was found in Corosync's Totem Process Group (totempg) message reassembly. When processing fragmented multicast messages, the buffer used to reassemble fragments lacks a runtime bounds check in release builds. A network-adjacent attacker able to send crafted multicast protocol messages to the cluster could cause a heap buffer overflow with attacker-controlled data. This can crash the Corosync daemon, causing a denial of service to the entire cluster, and may potentially allow further exploitation given sufficient heap-corruption control.
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๐จ CVE-2026-84003
Authentication bypass by capture-replay in Microsoft Authentication Library (MSAL) for Node.js allows an unauthorized attacker to perform spoofing over a network.
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Authentication bypass by capture-replay in Microsoft Authentication Library (MSAL) for Node.js allows an unauthorized attacker to perform spoofing over a network.
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๐จ CVE-2026-18061
Improper restriction of XML external entity references in the RemoteQueryCachePlugin in AWS Advanced JDBC Wrapper 3.3.0 through 4.2.0 might allow an actor with write access to the shared cache infrastructure to disclose sensitive files from application hosts that read cached query results, including stored database and IAM role credentials, via crafted XML data in a cached column value.
To remediate this issue, users should upgrade to version 4.3.0 or later.
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Improper restriction of XML external entity references in the RemoteQueryCachePlugin in AWS Advanced JDBC Wrapper 3.3.0 through 4.2.0 might allow an actor with write access to the shared cache infrastructure to disclose sensitive files from application hosts that read cached query results, including stored database and IAM role credentials, via crafted XML data in a cached column value.
To remediate this issue, users should upgrade to version 4.3.0 or later.
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๐จ CVE-2026-67211
OOM Denial of Service via Unbounded Map Pre-Sizing in Apache OpenNLP SymSpellModelSerializer
Versions Affected:
- 3.0.0-M4
- 3.0.0-M5
(The opennlp-spellcheck extension was introduced in 3.0.0-M4. Releases 1.x and 2.x do not contain the affected code.)
Description:
The SymSpellModelSerializer.create() method reads two 32-bit signed integer count fields (unigramCount and bigramCount) from a binary SymSpell model stream and passes each value directly to LinkedHashMap.newLinkedHashMap() after validating only that it is non-negative. No upper bound is applied, so the count is fully attacker-controlled when the model file originates from an untrusted source.
A crafted .bin model file in which either count field is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) causes the map to be pre-sized to a capacity of 2^30 entries. The oversized backing array is allocated on the first put() into that map, requesting 4โ8 GB depending on whether compressed oops are in effect, and the load fails with an OutOfMemoryError. Because the count fields sit immediately after a fixed-size header (magic, format version, three UTF strings, the configuration fields, and the edit-distance identifier) the attacker pays no meaningful size cost to weaponize a payload: a file of well under 100 bytes plus a single real entry is sufficient to crash a JVM that loads it.
Any code path that deserializes a SymSpell model is affected, including SymSpellModels.deserialize(InputStream), SymSpellModels.fromBytes(byte[]), classpath model loading via SymSpellModelResolver.resolveByLanguage(String), the CorrectTextTool command-line tool, and model-archive loading through the registered ArtifactSerializer. The opennlp-spellcheck extension ships in the official OpenNLP binary distribution.
The practical impact is denial of service against processes that load SymSpell model files from untrusted or semi-trusted origins.
Mitigation:
- 3.x users should upgrade to 3.0.0-M6.
Note: The fix applies an upper bound to both count fields, checked before the map is pre-sized; counts that are negative or exceed the bound cause an IOException to be thrown and the read to fail fast with no large allocation. The bound is the existing AbstractModelReader.MAX_ENTRIES limit introduced earlie, which the current change promotes to public visibility so that serializers implementing their own binary format can share it. The default bound is 10,000,000, which is well above the entry counts of legitimate SymSpell dictionaries but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load larger dictionaries can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default. Note that this property is shared with the model-reader limit and raising it relaxes both.
Users who cannot upgrade immediately should treat all SymSpell .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks.
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OOM Denial of Service via Unbounded Map Pre-Sizing in Apache OpenNLP SymSpellModelSerializer
Versions Affected:
- 3.0.0-M4
- 3.0.0-M5
(The opennlp-spellcheck extension was introduced in 3.0.0-M4. Releases 1.x and 2.x do not contain the affected code.)
Description:
The SymSpellModelSerializer.create() method reads two 32-bit signed integer count fields (unigramCount and bigramCount) from a binary SymSpell model stream and passes each value directly to LinkedHashMap.newLinkedHashMap() after validating only that it is non-negative. No upper bound is applied, so the count is fully attacker-controlled when the model file originates from an untrusted source.
A crafted .bin model file in which either count field is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) causes the map to be pre-sized to a capacity of 2^30 entries. The oversized backing array is allocated on the first put() into that map, requesting 4โ8 GB depending on whether compressed oops are in effect, and the load fails with an OutOfMemoryError. Because the count fields sit immediately after a fixed-size header (magic, format version, three UTF strings, the configuration fields, and the edit-distance identifier) the attacker pays no meaningful size cost to weaponize a payload: a file of well under 100 bytes plus a single real entry is sufficient to crash a JVM that loads it.
Any code path that deserializes a SymSpell model is affected, including SymSpellModels.deserialize(InputStream), SymSpellModels.fromBytes(byte[]), classpath model loading via SymSpellModelResolver.resolveByLanguage(String), the CorrectTextTool command-line tool, and model-archive loading through the registered ArtifactSerializer. The opennlp-spellcheck extension ships in the official OpenNLP binary distribution.
The practical impact is denial of service against processes that load SymSpell model files from untrusted or semi-trusted origins.
Mitigation:
- 3.x users should upgrade to 3.0.0-M6.
Note: The fix applies an upper bound to both count fields, checked before the map is pre-sized; counts that are negative or exceed the bound cause an IOException to be thrown and the read to fail fast with no large allocation. The bound is the existing AbstractModelReader.MAX_ENTRIES limit introduced earlie, which the current change promotes to public visibility so that serializers implementing their own binary format can share it. The default bound is 10,000,000, which is well above the entry counts of legitimate SymSpell dictionaries but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load larger dictionaries can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default. Note that this property is shared with the model-reader limit and raising it relaxes both.
Users who cannot upgrade immediately should treat all SymSpell .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks.
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๐จ CVE-2026-82617
The two built-in name-finder patterns exposed by
opennlp.tools.namefind.RegexNameFinderFactory - DEFAULT_REGEX_NAME_FINDER.EMAIL
and DEFAULT_REGEX_NAME_FINDER.URL - contain ambiguous nested quantifiers. An
application that obtains these finders through
RegexNameFinderFactory.getDefaultRegexNameFinders(...) and then applies them to
untrusted text through RegexNameFinder.find(String[]) or RegexNameFinder.find(String)
can be driven into super-linear backtracking or into unbounded matcher recursion by a
small crafted input.
For the EMAIL pattern, a long run of local-part characters that is never followed by an
@ forces the matcher to re-scan to end-of-input from every starting offset. Cost grows
quadratically with input length: an input of approximately 32 KB consumes several seconds
of CPU in a single find() call and returns no match, and each doubling of the input
multiplies the cost roughly four-fold.
For the URL pattern, the query-string sub-expression nests a capturing repetition inside
an outer repetition. The JDK matcher recurses once per query token, so an input of
approximately 4 KB containing many &-separated tokens exhausts the thread stack and
causes java.lang.StackOverflowError to propagate out of find(), terminating the
calling thread. On a thread created with a smaller stack (for example -Xss512k, typical
of server worker pools) approximately 1 KB is sufficient.
In both cases an attacker who can supply text for analysis can convert a single request
into seconds to minutes of pinned CPU, or into an abrupt thread death, denying service to
the embedding application. No authentication, special configuration, or model file is
required beyond the application having selected one of the two built-in finders.
This issue affects Apache OpenNLP: from 2.0.0 through 2.5.11; from 3.0.0-M1 through
3.0.0-M5.
Users are recommended to upgrade to version 2.5.12, or to 3.0.0-M6 for users tracking the
3.0.0 milestone line, which fix the issue.
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The two built-in name-finder patterns exposed by
opennlp.tools.namefind.RegexNameFinderFactory - DEFAULT_REGEX_NAME_FINDER.EMAIL
and DEFAULT_REGEX_NAME_FINDER.URL - contain ambiguous nested quantifiers. An
application that obtains these finders through
RegexNameFinderFactory.getDefaultRegexNameFinders(...) and then applies them to
untrusted text through RegexNameFinder.find(String[]) or RegexNameFinder.find(String)
can be driven into super-linear backtracking or into unbounded matcher recursion by a
small crafted input.
For the EMAIL pattern, a long run of local-part characters that is never followed by an
@ forces the matcher to re-scan to end-of-input from every starting offset. Cost grows
quadratically with input length: an input of approximately 32 KB consumes several seconds
of CPU in a single find() call and returns no match, and each doubling of the input
multiplies the cost roughly four-fold.
For the URL pattern, the query-string sub-expression nests a capturing repetition inside
an outer repetition. The JDK matcher recurses once per query token, so an input of
approximately 4 KB containing many &-separated tokens exhausts the thread stack and
causes java.lang.StackOverflowError to propagate out of find(), terminating the
calling thread. On a thread created with a smaller stack (for example -Xss512k, typical
of server worker pools) approximately 1 KB is sufficient.
In both cases an attacker who can supply text for analysis can convert a single request
into seconds to minutes of pinned CPU, or into an abrupt thread death, denying service to
the embedding application. No authentication, special configuration, or model file is
required beyond the application having selected one of the two built-in finders.
This issue affects Apache OpenNLP: from 2.0.0 through 2.5.11; from 3.0.0-M1 through
3.0.0-M5.
Users are recommended to upgrade to version 2.5.12, or to 3.0.0-M6 for users tracking the
3.0.0 milestone line, which fix the issue.
๐@cveNotify
๐จ CVE-2026-90496
A vulnerability was found in Fengoffice Feng Office up to 3.11.13.11. Affected is the function update_system_module_order/update_dimension_order of the file application/controllers/MoreController.class.php of the component Reorder Handlers. Performing a manipulation of the argument modules/dims results in sql injection. The attack may be initiated remotely. The exploit has been made public and could be used. The vendor was contacted early about this disclosure but did not respond in any way.
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A vulnerability was found in Fengoffice Feng Office up to 3.11.13.11. Affected is the function update_system_module_order/update_dimension_order of the file application/controllers/MoreController.class.php of the component Reorder Handlers. Performing a manipulation of the argument modules/dims results in sql injection. The attack may be initiated remotely. The exploit has been made public and could be used. The vendor was contacted early about this disclosure but did not respond in any way.
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๐จ CVE-2026-90501
A security vulnerability has been detected in lenve vhr 1.0-SNAPSHOT. This issue affects the function HrInfoController.updateHr of the file HrMapper.xml. Such manipulation of the argument Password leads to improper privilege management. The attack may be performed from remote. The exploit has been disclosed publicly and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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A security vulnerability has been detected in lenve vhr 1.0-SNAPSHOT. This issue affects the function HrInfoController.updateHr of the file HrMapper.xml. Such manipulation of the argument Password leads to improper privilege management. The attack may be performed from remote. The exploit has been disclosed publicly and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
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GitHub
vhr-advisories/advisories/VHR-VULN-001-mass-assignment-privesc.md at main ยท ArrestX/vhr-advisories
vhr (ๅพฎไบบไบ) security advisories. Contribute to ArrestX/vhr-advisories development by creating an account on GitHub.
๐จ CVE-2026-90506
A vulnerability was determined in vvbbnn00 WARP-Clash-API up to c7bf2360073959861219b422e51ae86411051b46. This impacts an unknown function of the component Save Account Job. This manipulation causes race condition. The attack may be initiated remotely. The attack's complexity is rated as high. The exploitability is said to be difficult. The exploit has been publicly disclosed and may be utilized. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The vendor was contacted early about this disclosure but did not respond in any way. This vulnerability only affects products that are no longer supported by the maintainer.
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A vulnerability was determined in vvbbnn00 WARP-Clash-API up to c7bf2360073959861219b422e51ae86411051b46. This impacts an unknown function of the component Save Account Job. This manipulation causes race condition. The attack may be initiated remotely. The attack's complexity is rated as high. The exploitability is said to be difficult. The exploit has been publicly disclosed and may be utilized. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The vendor was contacted early about this disclosure but did not respond in any way. This vulnerability only affects products that are no longer supported by the maintainer.
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Gist
Advisory: CWE-362 TOCTOU race (HIGH) - vvbbnn00/WARP-Clash-API Finding 7
Advisory: CWE-362 TOCTOU race (HIGH) - vvbbnn00/WARP-Clash-API Finding 7 - warp_finding7.md
๐จ CVE-2026-90511
A vulnerability was detected in GongShengyue OnlineBooks up to dfc5eacc08d3b0396c266049548618f6fb9587ea. This vulnerability affects unknown code of the file src/cn/ylcto/book/servlet/BooksServlet.java of the component listSplit Interface. The manipulation of the argument column results in sql injection. The attack may be performed from remote. The exploit is now public and may be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed.
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A vulnerability was detected in GongShengyue OnlineBooks up to dfc5eacc08d3b0396c266049548618f6fb9587ea. This vulnerability affects unknown code of the file src/cn/ylcto/book/servlet/BooksServlet.java of the component listSplit Interface. The manipulation of the argument column results in sql injection. The attack may be performed from remote. The exploit is now public and may be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed.
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GitHub
CVE/OnlineBooks-sql.md at main ยท hhhh333/CVE
Contribute to hhhh333/CVE development by creating an account on GitHub.
๐จ CVE-2026-89020
MikroTik RouterOS before 7.23.4 (long-term) and 7.24.2 (stable) contains a stack-based buffer overflow vulnerability in the mtget binary's TFTP RRQ builder function that allows authenticated users to crash the mtget worker process by supplying a URL path of 507 bytes or more to the /tool fetch command; the first write outside the 528-byte buffer occurs at 505 bytes. Attackers can trigger the overflow by issuing a fetch command with a crafted tftp:// URL path, which causes an unbounded rep movsb instruction to overwrite saved registers at a deterministic offset, crashing the process without requiring a reachable TFTP server or elevated privileges beyond read-only group membership.
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MikroTik RouterOS before 7.23.4 (long-term) and 7.24.2 (stable) contains a stack-based buffer overflow vulnerability in the mtget binary's TFTP RRQ builder function that allows authenticated users to crash the mtget worker process by supplying a URL path of 507 bytes or more to the /tool fetch command; the first write outside the 528-byte buffer occurs at 505 bytes. Attackers can trigger the overflow by issuing a fetch command with a crafted tftp:// URL path, which causes an unbounded rep movsb instruction to overwrite saved registers at a deterministic offset, crashing the process without requiring a reachable TFTP server or elevated privileges beyond read-only group membership.
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MikroTik community forum
7.23.4 [long-term] is released!
Before an upgrade: Remember to make backup/export files before an upgrade and save them on another storage device; Make sure the device will not lose power during upgrade process; Device has enough free storage space for all RouterOS packages to be downloaded.โฆ
๐จ CVE-2026-89021
MikroTik RouterOS before 7.24.2 contains a path traversal vulnerability in the container package OCI/tar image extraction that allows attackers to write files outside the container root by supplying a crafted container image with symlinks pointing to arbitrary paths. Attackers can exploit unsanitized tar member path extraction during container import via /container/add to achieve root-privileged file creation, directory creation, file deletion via overlayfs whiteout, and hardlink creation on the persistent data partition without ever starting the container. The 7.23.x long-term branch does not contain this fix; the container binaries in container-7.23.3.npk and container-7.23.4.npk are byte-identical, and there is no fixed long-term release at the time of publication.
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MikroTik RouterOS before 7.24.2 contains a path traversal vulnerability in the container package OCI/tar image extraction that allows attackers to write files outside the container root by supplying a crafted container image with symlinks pointing to arbitrary paths. Attackers can exploit unsanitized tar member path extraction during container import via /container/add to achieve root-privileged file creation, directory creation, file deletion via overlayfs whiteout, and hardlink creation on the persistent data partition without ever starting the container. The 7.23.x long-term branch does not contain this fix; the container binaries in container-7.23.3.npk and container-7.23.4.npk are byte-identical, and there is no fixed long-term release at the time of publication.
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MikroTik community forum
7.24.2 [stable] is released!
Before an upgrade: Remember to make backup/export files before an upgrade and save them on another storage device; Make sure the device will not lose power during upgrade process; Device has enough free storage space for all RouterOS packages to be downloaded.โฆ
๐จ CVE-2026-43688
A memory corruption issue was addressed with improved input validation. This issue is fixed in iOS 27 and iPadOS 27, macOS Golden Gate 27. Processing a maliciously crafted file may lead to unexpected app termination.
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A memory corruption issue was addressed with improved input validation. This issue is fixed in iOS 27 and iPadOS 27, macOS Golden Gate 27. Processing a maliciously crafted file may lead to unexpected app termination.
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Apple Support
About the security content of iOS 27 and iPadOS 27 - Apple Support
This document describes the security content of iOS 27 and iPadOS 27.
๐จ CVE-2026-64714
A memory corruption issue was addressed with improved bounds checking. This issue is fixed in iOS 18.7.10 and iPadOS 18.7.10, macOS Golden Gate 27, macOS Sequoia 15.7.8, macOS Sonoma 14.8.8. Processing a maliciously crafted image may lead to a denial-of-service.
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A memory corruption issue was addressed with improved bounds checking. This issue is fixed in iOS 18.7.10 and iPadOS 18.7.10, macOS Golden Gate 27, macOS Sequoia 15.7.8, macOS Sonoma 14.8.8. Processing a maliciously crafted image may lead to a denial-of-service.
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Apple Support
About the security content of macOS Sequoia 15.7.8 - Apple Support
This document describes the security content of macOS Sequoia 15.7.8.
๐จ CVE-2026-65390
An integer overflow was addressed with improved input validation. This issue is fixed in Safari 26.6.1, iOS 26.6.1 and iPadOS 26.6.1, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. Processing maliciously crafted web content may lead to memory corruption.
๐@cveNotify
An integer overflow was addressed with improved input validation. This issue is fixed in Safari 26.6.1, iOS 26.6.1 and iPadOS 26.6.1, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. Processing maliciously crafted web content may lead to memory corruption.
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Apple Support
About the security content of macOS Tahoe 26.6.2 - Apple Support
This update delivers security fixes that were first made available in the macOS Golden Gate 27 beta. This document describes the security content of macOS Tahoe 26.6.2.
๐จ CVE-2026-65391
An out-of-bounds write issue was addressed with improved bounds checking. This issue is fixed in Safari 26.6.1, iOS 26.6.1 and iPadOS 26.6.1, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. Processing maliciously crafted web content may lead to memory corruption.
๐@cveNotify
An out-of-bounds write issue was addressed with improved bounds checking. This issue is fixed in Safari 26.6.1, iOS 26.6.1 and iPadOS 26.6.1, macOS Tahoe 26.6.2, tvOS 27, visionOS 27, watchOS 27. Processing maliciously crafted web content may lead to memory corruption.
๐@cveNotify
Apple Support
About the security content of macOS Tahoe 26.6.2 - Apple Support
This update delivers security fixes that were first made available in the macOS Golden Gate 27 beta. This document describes the security content of macOS Tahoe 26.6.2.
๐จ CVE-2026-65393
A permissions issue was addressed with improved validation. This issue is fixed in Xcode 27, macOS Golden Gate 27. An app may be able to access user-sensitive data.
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A permissions issue was addressed with improved validation. This issue is fixed in Xcode 27, macOS Golden Gate 27. An app may be able to access user-sensitive data.
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Apple Support
About the security content of macOS Golden Gate 27 - Apple Support
This document describes the security content of macOS Golden Gate 27.
๐จ CVE-2026-65410
The issue was addressed with improved checks. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Tahoe 26.7, tvOS 27, visionOS 27, watchOS 27. An app may be able to cause unexpected system termination.
๐@cveNotify
The issue was addressed with improved checks. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Tahoe 26.7, tvOS 27, visionOS 27, watchOS 27. An app may be able to cause unexpected system termination.
๐@cveNotify
Apple Support
About the security content of iOS 27 and iPadOS 27 - Apple Support
This document describes the security content of iOS 27 and iPadOS 27.
๐จ CVE-2026-65411
A path handling issue was addressed with improved validation. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, visionOS 27. An app may be able to modify protected parts of the file system.
๐@cveNotify
A path handling issue was addressed with improved validation. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, visionOS 27. An app may be able to modify protected parts of the file system.
๐@cveNotify
Apple Support
About the security content of iOS 27 and iPadOS 27 - Apple Support
This document describes the security content of iOS 27 and iPadOS 27.
๐จ CVE-2026-84534
A path handling issue was addressed with improved validation. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7, visionOS 27. Extracting a maliciously crafted archive may allow an attacker to write arbitrary files.
๐@cveNotify
A path handling issue was addressed with improved validation. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27 and iPadOS 27, macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7, visionOS 27. Extracting a maliciously crafted archive may allow an attacker to write arbitrary files.
๐@cveNotify
Apple Support
About the security content of iOS 27 and iPadOS 27 - Apple Support
This document describes the security content of iOS 27 and iPadOS 27.
๐จ CVE-2026-84541
An input validation issue was addressed with improved input validation. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. An application may be able to access restricted files.
๐@cveNotify
An input validation issue was addressed with improved input validation. This issue is fixed in macOS Golden Gate 27, macOS Sequoia 15.8, macOS Tahoe 26.7. An application may be able to access restricted files.
๐@cveNotify
Apple Support
About the security content of macOS Golden Gate 27 - Apple Support
This document describes the security content of macOS Golden Gate 27.