🚨 CVE-2026-55975
A vulnerability exists in H.View IP cameras that could allow an authenticated user to supply unsanitized XML fields to the device's certificate generation interface, which are incorporated into a backend certificate creation command without proper input validation. This may allow for command execution with elevated privileges during certificate generation.
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A vulnerability exists in H.View IP cameras that could allow an authenticated user to supply unsanitized XML fields to the device's certificate generation interface, which are incorporated into a backend certificate creation command without proper input validation. This may allow for command execution with elevated privileges during certificate generation.
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GitHub
CSAF/csaf_files/OT/white/2026/icsa-26-176-05.json at develop · cisagov/CSAF
CISA CSAF Security Advisories. Contribute to cisagov/CSAF development by creating an account on GitHub.
🚨 CVE-2026-56414
A vulnerability exists in H.View IP cameras certificate-related upload interfaces allow authenticated users to store arbitrary file content to fixed, persistent filesystem locations without validating file type, structure, or size. This design omission enables the placement of unexpected or malformed data in locations intended for trusted certificate material, which could affect system integrity or behavior even after reboot.
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A vulnerability exists in H.View IP cameras certificate-related upload interfaces allow authenticated users to store arbitrary file content to fixed, persistent filesystem locations without validating file type, structure, or size. This design omission enables the placement of unexpected or malformed data in locations intended for trusted certificate material, which could affect system integrity or behavior even after reboot.
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GitHub
CSAF/csaf_files/OT/white/2026/icsa-26-176-05.json at develop · cisagov/CSAF
CISA CSAF Security Advisories. Contribute to cisagov/CSAF development by creating an account on GitHub.
🚨 CVE-2026-58052
7-Zip for Windows through 26.02 fails to preserve the Mark-of-the-Web when extracting a crafted RAR5 archive, because its guard that suppresses an archive-supplied Zone.Identifier stream matches the exact name 'Zone.Identifier' while a RAR5 STM record named ':Zone.Identifier:$DATA' is not matched and NTFS canonicalizes it to the same stream, overwriting the propagated Internet-zone marker with ZoneId=0. A second STM record named '::$DATA' overwrites the extracted file's default data stream, letting an attacker defeat SmartScreen/MotW warnings and spoof file content.
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7-Zip for Windows through 26.02 fails to preserve the Mark-of-the-Web when extracting a crafted RAR5 archive, because its guard that suppresses an archive-supplied Zone.Identifier stream matches the exact name 'Zone.Identifier' while a RAR5 STM record named ':Zone.Identifier:$DATA' is not matched and NTFS canonicalizes it to the same stream, overwriting the propagated Internet-zone marker with ZoneId=0. A second STM record named '::$DATA' overwrites the extracted file's default data stream, letting an attacker defeat SmartScreen/MotW warnings and spoof file content.
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GitHub
exploitarium/7zip-rar5-motw-chain-poc at main · bikini/exploitarium
A single archive of public exploit PoCs and vulnerability research writeups. At the time I post these, none have been reported. Feel free to report them yourself and take credit for the CVE if hand...
🚨 CVE-2026-58055
nghttp2's nghttpx proxy through 1.69.0 forwards an HTTP/1.1 Upgrade request that also carries a Content-Length header and body onto reusable keep-alive backend connections, re-adding the Upgrade and Connection headers while passing Content-Length verbatim. A backend that resolves the resulting ambiguous message in the attacker's favor enables HTTP request/response smuggling and cross-client response-queue poisoning.
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nghttp2's nghttpx proxy through 1.69.0 forwards an HTTP/1.1 Upgrade request that also carries a Content-Length header and body onto reusable keep-alive backend connections, re-adding the Upgrade and Connection headers while passing Content-Length verbatim. A backend that resolves the resulting ambiguous message in the attacker's favor enables HTTP request/response smuggling and cross-client response-queue poisoning.
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GitHub
exploitarium/nghttp2-nghttpx-upgrade-queue-poison-poc at main · bikini/exploitarium
A single archive of public exploit PoCs and vulnerability research writeups. At the time I post these, none have been reported. Feel free to report them yourself and take credit for the CVE if hand...
🚨 CVE-2026-58057
Flowise before 3.1.3 validates Custom MCP stdio environment variables against a denylist using a case-sensitive comparison, so on Windows, where environment names are case-insensitive, supplying 'node_options' bypasses the NODE_OPTIONS denylist entry. An authenticated user who can configure a Custom MCP node can thereby inject NODE_OPTIONS --require and execute arbitrary code in the Flowise server context.
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Flowise before 3.1.3 validates Custom MCP stdio environment variables against a denylist using a case-sensitive comparison, so on Windows, where environment names are case-insensitive, supplying 'node_options' bypasses the NODE_OPTIONS denylist entry. An authenticated user who can configure a Custom MCP node can thereby inject NODE_OPTIONS --require and execute arbitrary code in the Flowise server context.
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GitHub
Fix Flowise 552 by yau-wd · Pull Request #6471 · FlowiseAI/Flowise
FLOWISE-406 & FLOWISE-552
🚨 CVE-2023-0645
An out of bounds read exists in libjxl. An attacker using a specifically crafted file could cause an out of bounds read in the exif handler. We recommend upgrading to version 0.8.1 or past commit https://github.com/libjxl/libjxl/pull/2101/commits/d95b050c1822a5b1ede9e0dc937e43fca1b10159 https://github.com/libjxl/libjxl/pull/2101/commits/d95b050c1822a5b1ede9e0dc937e43fca1b10159
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An out of bounds read exists in libjxl. An attacker using a specifically crafted file could cause an out of bounds read in the exif handler. We recommend upgrading to version 0.8.1 or past commit https://github.com/libjxl/libjxl/pull/2101/commits/d95b050c1822a5b1ede9e0dc937e43fca1b10159 https://github.com/libjxl/libjxl/pull/2101/commits/d95b050c1822a5b1ede9e0dc937e43fca1b10159
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GitHub
Update exif.h by sigdevel · Pull Request #2101 · libjxl/libjxl
trying to fix #2100
🚨 CVE-2026-40682
XML External Entity (XXE) via Unsanitized Dictionary Parsing in Apache OpenNLP DictionaryEntryPersistor
Versions Affected: before 2.5.9, before 3.0.0-M3
Description: The DictionaryEntryPersistor class initializes a static SAXParserFactory at class-load time without enabling FEATURE_SECURE_PROCESSING or disabling DTD processing. When create(InputStream, EntryInserter) is invoked, the only feature set on the XMLReader is namespace support — external entity resolution and DOCTYPE declarations remain fully enabled. An attacker who can supply a crafted dictionary file (e.g., a stop-word list or domain dictionary) containing a malicious DOCTYPE declaration can trigger local file disclosure via file:// entity references or server-side request forgery via http:// entity references during SAX parsing, before the application processes a single dictionary entry. This is inconsistent with the project's own XmlUtil.createSaxParser() helper, which correctly sets FEATURE_SECURE_PROCESSING and disallow-doctype-decl and is used by all other XML parsing paths in the codebase. The public Dictionary(InputStream) constructor delegates directly to this method and is the documented API for loading user-supplied dictionaries, making untrusted input a realistic scenario.
Mitigation: 2.x users should upgrade to 2.5.9. 3.x users should upgrade to 3.0.0-M3. Users who cannot upgrade immediately should ensure that all dictionary files are sourced from trusted origins and should consider wrapping the Dictionary(InputStream) constructor with input validation that rejects any XML containing a DOCTYPE declaration before it reaches the parser.
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XML External Entity (XXE) via Unsanitized Dictionary Parsing in Apache OpenNLP DictionaryEntryPersistor
Versions Affected: before 2.5.9, before 3.0.0-M3
Description: The DictionaryEntryPersistor class initializes a static SAXParserFactory at class-load time without enabling FEATURE_SECURE_PROCESSING or disabling DTD processing. When create(InputStream, EntryInserter) is invoked, the only feature set on the XMLReader is namespace support — external entity resolution and DOCTYPE declarations remain fully enabled. An attacker who can supply a crafted dictionary file (e.g., a stop-word list or domain dictionary) containing a malicious DOCTYPE declaration can trigger local file disclosure via file:// entity references or server-side request forgery via http:// entity references during SAX parsing, before the application processes a single dictionary entry. This is inconsistent with the project's own XmlUtil.createSaxParser() helper, which correctly sets FEATURE_SECURE_PROCESSING and disallow-doctype-decl and is used by all other XML parsing paths in the codebase. The public Dictionary(InputStream) constructor delegates directly to this method and is the documented API for loading user-supplied dictionaries, making untrusted input a realistic scenario.
Mitigation: 2.x users should upgrade to 2.5.9. 3.x users should upgrade to 3.0.0-M3. Users who cannot upgrade immediately should ensure that all dictionary files are sourced from trusted origins and should consider wrapping the Dictionary(InputStream) constructor with input validation that rejects any XML containing a DOCTYPE declaration before it reaches the parser.
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🚨 CVE-2026-42027
Arbitrary Class Instantiation via Model Manifest in Apache OpenNLP ExtensionLoader
Versions Affected: before 1.9.5, before 2.5.9, before 3.0.0-M3
Description:
The ExtensionLoader.instantiateExtension(Class, String) method loads a class by its fully-qualified name via Class.forName() and invokes its no-arg constructor, with the class name sourced from the manifest.properties entry of a model archive. The existing isAssignableFrom check correctly rejects classes that are not subtypes of the expected extension interface (BaseToolFactory for factory=, ArtifactSerializer for serializer-class-*), but the check runs after Class.forName() has already loaded and initialized the named class.
Class.forName() with default initialization semantics executes the target class's static initializer before returning, so an attacker who can supply a crafted model archive can cause the static initializer of any class on the classpath to run during model loading, regardless of whether that class passes the subsequent type check.
Exploitation requires a class with attacker-useful side effects in its static initializer (for example, JNDI lookup, outbound network I/O, or filesystem access) to be present on the classpath, so this is not a drop-in remote code execution; however, the attack surface grows as third-party model distribution becomes more common (community model repositories, Hugging Face-style sharing), where users routinely load model files from origins they do not control. A secondary, narrower vector affects deployments that ship legitimate BaseToolFactory or ArtifactSerializer subclasses with side-effecting no-arg constructors: a malicious manifest can name such a class and force its constructor to run during model load.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces a package-prefix allowlist that is consulted before Class.forName() is invoked, so the static initializer of a disallowed class is never executed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing factories or serializers outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes.
Users who cannot upgrade immediately should ensure that all model files are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors, particularly any that perform JNDI lookups, network requests, or filesystem operations during class initialization.
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Arbitrary Class Instantiation via Model Manifest in Apache OpenNLP ExtensionLoader
Versions Affected: before 1.9.5, before 2.5.9, before 3.0.0-M3
Description:
The ExtensionLoader.instantiateExtension(Class, String) method loads a class by its fully-qualified name via Class.forName() and invokes its no-arg constructor, with the class name sourced from the manifest.properties entry of a model archive. The existing isAssignableFrom check correctly rejects classes that are not subtypes of the expected extension interface (BaseToolFactory for factory=, ArtifactSerializer for serializer-class-*), but the check runs after Class.forName() has already loaded and initialized the named class.
Class.forName() with default initialization semantics executes the target class's static initializer before returning, so an attacker who can supply a crafted model archive can cause the static initializer of any class on the classpath to run during model loading, regardless of whether that class passes the subsequent type check.
Exploitation requires a class with attacker-useful side effects in its static initializer (for example, JNDI lookup, outbound network I/O, or filesystem access) to be present on the classpath, so this is not a drop-in remote code execution; however, the attack surface grows as third-party model distribution becomes more common (community model repositories, Hugging Face-style sharing), where users routinely load model files from origins they do not control. A secondary, narrower vector affects deployments that ship legitimate BaseToolFactory or ArtifactSerializer subclasses with side-effecting no-arg constructors: a malicious manifest can name such a class and force its constructor to run during model load.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces a package-prefix allowlist that is consulted before Class.forName() is invoked, so the static initializer of a disallowed class is never executed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing factories or serializers outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes.
Users who cannot upgrade immediately should ensure that all model files are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors, particularly any that perform JNDI lookups, network requests, or filesystem operations during class initialization.
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🚨 CVE-2026-42440
OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader
Versions Affected:
before 1.9.5
before 2.5.9
before 3.0.0-M3
Description:
The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source.
A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load.
The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default 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.
Users who cannot upgrade immediately should treat all .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 Array Allocation in Apache OpenNLP AbstractModelReader
Versions Affected:
before 1.9.5
before 2.5.9
before 3.0.0-M3
Description:
The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source.
A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load.
The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default 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.
Users who cannot upgrade immediately should treat all .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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🚨 CVE-2025-70099
A NULL pointer dereference in the ext4_dir_en_get_name_len function in include/ext4_dir.h of lwext4 1.0.0 allows attackers to cause a denial of service by supplying a specially crafted EXT4 filesystem image with malformed directory entries. During directory iteration, the code may fail to validate the directory entry pointer before accessing the name_len field, resulting in a segmentation fault. This affects versions based on (or equivalent to) the 2016-era codebase (1.0.0).
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A NULL pointer dereference in the ext4_dir_en_get_name_len function in include/ext4_dir.h of lwext4 1.0.0 allows attackers to cause a denial of service by supplying a specially crafted EXT4 filesystem image with malformed directory entries. During directory iteration, the code may fail to validate the directory entry pointer before accessing the name_len field, resulting in a segmentation fault. This affects versions based on (or equivalent to) the 2016-era codebase (1.0.0).
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GitHub
[security] lwext4/include/ext4_dir.h NULL pointer dereference in ext4_dir_en_get_name_len · Issue #89 · gkostka/lwext4
lwext4/include/ext4_dir.h NULL pointer dereference in ext4_dir_en_get_name_len Description: When processing a crafted ex4-image containing malformed directory entries, lwext4 may dereference a NULL...
🚨 CVE-2025-70100
A divide-by-zero vulnerability in the ext4_block_set_lb_size function in src/ext4_blockdev.c of the lwext4 1.0.0 library allows attackers to cause a denial of service by providing a malformed ext4 filesystem image that results in a zero logical block size. The vulnerability is triggered during mount or image processing and leads to a Floating-Point Exception (FPE) under sanitizers or a runtime crash in standard builds due to missing validation of lb_size.
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A divide-by-zero vulnerability in the ext4_block_set_lb_size function in src/ext4_blockdev.c of the lwext4 1.0.0 library allows attackers to cause a denial of service by providing a malformed ext4 filesystem image that results in a zero logical block size. The vulnerability is triggered during mount or image processing and leads to a Floating-Point Exception (FPE) under sanitizers or a runtime crash in standard builds due to missing validation of lb_size.
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GitHub
[security] lwext4/src/ext4_blockdev.c FPE in ext4_block_set_lb_size · Issue #90 · gkostka/lwext4
lwext4/src/ext4_blockdev.c FPE in ext4_block_set_lb_size Description: When processing a crafted ext4-image, "ext4_mount()" may pass an invalid logical block size (lb_size == 0) into "...
🚨 CVE-2025-70101
An out-of-bounds read in the ext4_ext_binsearch_idx function in src/ext4_extent.c of the lwext4 1.0.0 library allows attackers to cause a denial of service by supplying a specially crafted ext4 filesystem image. The vulnerability occurs due to insufficient validation of extent header fields before performing a binary search over extent index entries, which can result in invalid pointer calculations and an out-of-bounds memory read during extent tree traversal.
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An out-of-bounds read in the ext4_ext_binsearch_idx function in src/ext4_extent.c of the lwext4 1.0.0 library allows attackers to cause a denial of service by supplying a specially crafted ext4 filesystem image. The vulnerability occurs due to insufficient validation of extent header fields before performing a binary search over extent index entries, which can result in invalid pointer calculations and an out-of-bounds memory read during extent tree traversal.
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GitHub
[security] lwext4/include/ext4_dir.h Out-of-Bounds Read in ext4_ext_binsearch_idx · Issue #91 · gkostka/lwext4
lwext4/include/ext4_dir.h Out-of-Bounds Read in ext4_ext_binsearch_idx Description: Probably, when traversing an inode’s extent tree, the function "ext4_ext_binsearch_idx()" assumes that ...
🚨 CVE-2026-48558
SimpleHelp versions 5.5.15 and prior and 6.0 pre-release versions contain an authentication bypass vulnerability in the OIDC authentication flow. When OIDC authentication is configured, identity tokens submitted during login are accepted without verifying their cryptographic signature. In a vulnerable configuration, a remote, unauthenticated attacker can submit a forged token containing arbitrary identity claims to obtain a fully authenticated technician session. In some configurations, this may also allow bypass of multi-factor authentication. No user interaction is required.
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SimpleHelp versions 5.5.15 and prior and 6.0 pre-release versions contain an authentication bypass vulnerability in the OIDC authentication flow. When OIDC authentication is configured, identity tokens submitted during login are accepted without verifying their cryptographic signature. In a vulnerable configuration, a remote, unauthenticated attacker can submit a forged token containing arbitrary identity claims to obtain a fully authenticated technician session. In some configurations, this may also allow bypass of multi-factor authentication. No user interaction is required.
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Horizon3.ai
CVE-2026-48558: SimpleHelp Auth Bypass IOCs
Learn how to identify indicators of compromise associated with CVE-2026-48558, a SimpleHelp OIDC authentication bypass vulnerability discovered by Horizon3.ai.
🚨 CVE-2026-1288
A maliciously crafted RFA file, when converted to FormIt via “Convert RFA to FormIt” in Autodesk Revit, can force a NULL Pointer Dereference vulnerability. Successful exploitation may cause the application to crash, leading to a denial-of-service condition.
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A maliciously crafted RFA file, when converted to FormIt via “Convert RFA to FormIt” in Autodesk Revit, can force a NULL Pointer Dereference vulnerability. Successful exploitation may cause the application to crash, leading to a denial-of-service condition.
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Autodesk
Autodesk Access | Formerly Autodesk Desktop App | Autodesk
Autodesk Access simplifies the update experience. Quickly and easily install updates for your desktop products from the app. Download now for free.
🚨 CVE-2026-27878
A TraceQL query in Grafana Tempo with a large exemplars hint value can cause the Tempo instance to allocate an excessive amount of memory, resulting in an out-of-memory crash. This could allow an authenticated user to trigger a denial of service against the Tempo service.
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A TraceQL query in Grafana Tempo with a large exemplars hint value can cause the Tempo instance to allocate an excessive amount of memory, resulting in an out-of-memory crash. This could allow an authenticated user to trigger a denial of service against the Tempo service.
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🚨 CVE-2026-4610
The ProfileGrid – User Profiles, Groups and Communities plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'pm_author_message' parameter in the pm_send_message_to_author function in all versions up to, and including, 5.9.9.2 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with Subscriber-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The vulnerability was partially patched in version 5.9.8.5.
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The ProfileGrid – User Profiles, Groups and Communities plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'pm_author_message' parameter in the pm_send_message_to_author function in all versions up to, and including, 5.9.9.2 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with Subscriber-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The vulnerability was partially patched in version 5.9.8.5.
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🚨 CVE-2026-11370
The WP Meta SEO plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 4.5.18 via the 'new_link' parameter. This makes it possible for authenticated attackers, with contributor-level access and above, to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services. The HTTP response status from outbound requests is reflected back in the AJAX JSON response as status_code, providing an enumeration oracle usable for probing internal hosts and cloud metadata services.
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The WP Meta SEO plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 4.5.18 via the 'new_link' parameter. This makes it possible for authenticated attackers, with contributor-level access and above, to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services. The HTTP response status from outbound requests is reflected back in the AJAX JSON response as status_code, providing an enumeration oracle usable for probing internal hosts and cloud metadata services.
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🚨 CVE-2026-12417
The SignUp & SignIn plugin for WordPress is vulnerable to Authentication Bypass via Weak Password Reset Validation leading to Account Takeover in versions up to, and including, 1.0.0. This is due to the `pravel_change_password()` AJAX handler — registered via `wp_ajax_nopriv_pravel_change_password` and therefore accessible to unauthenticated users — performing no nonce verification, no capability check, and only a loose equality check between an attacker-supplied `reset_activation_code` POST parameter and the target user's `forgot_email` user meta value; when a user has never initiated a password reset, `get_user_meta()` returns an empty string that trivially satisfies this check against an omitted or empty attacker-supplied code. This makes it possible for unauthenticated attackers to change the password of any WordPress user, including administrators, by sending a crafted POST request to `admin-ajax.php` with `action=pravel_change_password`, `reset_user_id` set to the target account's user ID, and `new_password_custom` set to an attacker-chosen password. Successful exploitation allows the attacker to authenticate with the newly set password and fully take over the targeted account, achieving administrator-level privilege escalation on the affected site.
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The SignUp & SignIn plugin for WordPress is vulnerable to Authentication Bypass via Weak Password Reset Validation leading to Account Takeover in versions up to, and including, 1.0.0. This is due to the `pravel_change_password()` AJAX handler — registered via `wp_ajax_nopriv_pravel_change_password` and therefore accessible to unauthenticated users — performing no nonce verification, no capability check, and only a loose equality check between an attacker-supplied `reset_activation_code` POST parameter and the target user's `forgot_email` user meta value; when a user has never initiated a password reset, `get_user_meta()` returns an empty string that trivially satisfies this check against an omitted or empty attacker-supplied code. This makes it possible for unauthenticated attackers to change the password of any WordPress user, including administrators, by sending a crafted POST request to `admin-ajax.php` with `action=pravel_change_password`, `reset_user_id` set to the target account's user ID, and `new_password_custom` set to an attacker-chosen password. Successful exploitation allows the attacker to authenticate with the newly set password and fully take over the targeted account, achieving administrator-level privilege escalation on the affected site.
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🚨 CVE-2026-9183
The 24liveblog - live blog tool plugin for WordPress is vulnerable to Exposure of Sensitive Information in versions up to, and including, 2.2. This is due to the lb24_block_enqueue_scripts() function being hooked to enqueue_block_editor_assets and, for any non-administrator user, falling back to loading the administrator-configured site-wide 24liveblog integration secrets (lb24_token, lb24_refresh_token, lb24_uid, lb24_uname) from the options table via get_option() and emitting them through wp_localize_script() as the lb24BlockData JavaScript object. This makes it possible for authenticated attackers, with contributor-level access and above, to extract third-party 24liveblog account credentials (including the API token and refresh token) by simply opening the block editor and inspecting the page source.
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The 24liveblog - live blog tool plugin for WordPress is vulnerable to Exposure of Sensitive Information in versions up to, and including, 2.2. This is due to the lb24_block_enqueue_scripts() function being hooked to enqueue_block_editor_assets and, for any non-administrator user, falling back to loading the administrator-configured site-wide 24liveblog integration secrets (lb24_token, lb24_refresh_token, lb24_uid, lb24_uname) from the options table via get_option() and emitting them through wp_localize_script() as the lb24BlockData JavaScript object. This makes it possible for authenticated attackers, with contributor-level access and above, to extract third-party 24liveblog account credentials (including the API token and refresh token) by simply opening the block editor and inspecting the page source.
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🚨 CVE-2026-9643
The WP Meta SEO plugin for WordPress is vulnerable to Unauthenticated Stored Cross-Site Scripting via the REQUEST_URI server variable in all versions up to, and including, 4.5.18. When the plugin's `wpmsTemplateRedirect()` hook detects a 404, it concatenates `$_SERVER['HTTP_HOST']` with the raw `$_SERVER['REQUEST_URI']` and inserts that value verbatim into the `wp_wpms_links.link_url` column via `$wpdb->insert()`. This makes it possible for unauthenticated attackers to inject arbitrary web scripts that execute whenever an administrator views the plugin's 404 & Redirects admin page (`/wp-admin/admin.php?page=metaseo_broken_link`).
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The WP Meta SEO plugin for WordPress is vulnerable to Unauthenticated Stored Cross-Site Scripting via the REQUEST_URI server variable in all versions up to, and including, 4.5.18. When the plugin's `wpmsTemplateRedirect()` hook detects a 404, it concatenates `$_SERVER['HTTP_HOST']` with the raw `$_SERVER['REQUEST_URI']` and inserts that value verbatim into the `wp_wpms_links.link_url` column via `$wpdb->insert()`. This makes it possible for unauthenticated attackers to inject arbitrary web scripts that execute whenever an administrator views the plugin's 404 & Redirects admin page (`/wp-admin/admin.php?page=metaseo_broken_link`).
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🚨 CVE-2026-12077
The Dokan Pro plugin for WordPress is vulnerable to time-based SQL Injection via the via 'latitude' and 'longitude' parameters in all versions up to, and including, 5.0.4 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. 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.
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The Dokan Pro plugin for WordPress is vulnerable to time-based SQL Injection via the via 'latitude' and 'longitude' parameters in all versions up to, and including, 5.0.4 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. 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.
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