🚨 CVE-2026-11581
The Kali Forms — Contact Form & Drag-and-Drop Builder WordPress plugin before 2.4.13 does not sanitise a form field's caption before outputting it as a column header on the administrator form-entries screen, allowing users with Contributor-level access or above to store JavaScript that executes in an administrator's session. A missing capability check in the Kali Forms — Contact Form & Drag-and-Drop Builder WordPress plugin before 2.4.13's post-duplication action additionally lets the Contributor publish the malicious form so an administrator renders it.

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🚨 CVE-2026-11589
The WP Support Plus Responsive Ticket System WordPress plugin through 9.1.2 does not properly validate uploaded files, allowing unauthenticated users to upload files containing malicious JavaScript (such as HTML or SVG) to a publicly accessible location, leading to Stored Cross-Site Scripting attacks against site users and administrators.

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🚨 CVE-2026-11590
The WP Support Plus Responsive Ticket System WordPress plugin through 9.1.2 does not sanitize user-supplied array keys before using them in a SQL statement, allowing unauthenticated users to perform SQL injection attacks.

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🚨 CVE-2026-12240
The Export User Data plugin for WordPress is vulnerable to arbitrary file deletion due to insufficient file path validation in the unserialize function in all versions up to, and including, 2.2.6. This makes it possible for authenticated attackers, with subscriber-level access and above, to delete arbitrary files on the server, which can easily lead to remote code execution when the right file is deleted (such as wp-config.php). Successful exploitation requires an administrator to trigger a user data export while a subscriber-level (or higher) user has stored a crafted serialized XLSXWriter object payload as their display name.

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🚨 CVE-2026-12818
Delta Electronics DVP12SE PLCs are susceptible to a resource allocation vulnerability without limits or throttling (CWE-770) within their Modbus TCP service.

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🚨 CVE-2026-12819
Delta Electronics DVP12SE PLC exposes a Modbus TCP service over a specified port without authentication or access control, permitting unauthenticated interaction with security-sensitive PLC functions.

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🚨 CVE-2026-14164
A double free issue has been identified in libarchive's RAR5 reader. During parsing of a specially crafted RAR5 archive, the filtered_buf pointer may remain stale after being freed during unpacking state reinitialization. Subsequent processing of another archive entry can trigger a second free of the same memory region, resulting in a double-free condition. Successful exploitation may cause applications using the vulnerable libarchive API to terminate unexpectedly, leading to a denial of service.

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🚨 CVE-2026-56808
DGM3103SCT provided by AVTECH Security Corporation contains an OS command injection vulnerability, which may lead to arbitrary command execution with the root privilege by a user who can log in to the web management console of the affected product.

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🚨 CVE-2026-56809
Multiple laser printers and MFPs (multifunction printers) which implement Ricoh Web Image Monitor contain a reflected cross-site scripting vulnerability. An arbitrary script may be executed on the web browser of the user who accesses Web Image Monitor.

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🚨 CVE-2026-9576
The Fluent Booking WordPress plugin before 2.1.2 does not verify ownership of the requested group_id before exporting attendee data via the export endpoint, allowing users with at least the Calendar Manager role to retrieve attendees' PII (name, email, phone, address, payment information) from calendar groups they do not own.

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🚨 CVE-2025-8283
A vulnerability was found in the netavark package, a network stack for containers used with Podman. Due to dns.podman search domain being removed, netavark may return external servers if a valid A/AAAA record is sent as a response. When creating a container with a given name, this name will be used as the hostname for the container itself, as the podman's search domain is not added anymore the container is using the host's resolv.conf, and the DNS resolver will try to look into the search domains contained on it. If one of the domains contain a name with the same hostname as the running container, the connection will forward to unexpected external servers.

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🚨 CVE-2025-8277
A flaw was found in libssh's handling of key exchange (KEX) processes when a client repeatedly sends incorrect KEX guesses. The library fails to free memory during these rekey operations, which can gradually exhaust system memory. This issue can lead to crashes on the client side, particularly when using libgcrypt, which impacts application stability and availability.

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🚨 CVE-2025-60018
glib-networking's OpenSSL backend fails to properly check the return value of a call to BIO_write(), resulting in an out of bounds read.

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🚨 CVE-2025-60019
glib-networking's OpenSSL backend fails to properly check the return value of memory allocation routines. An out of memory condition could potentially result in writing to an invalid memory location.

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🚨 CVE-2025-9640
A flaw was found in Samba, in the vfs_streams_xattr module, where uninitialized heap memory could be written into alternate data streams. This allows an authenticated user to read residual memory content that may include sensitive data, resulting in an information disclosure vulnerability.

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🚨 CVE-2025-9615
A flaw was found in NetworkManager. The NetworkManager package allows access to files that may belong to other users. NetworkManager allows non-root users to configure the system's network. The daemon runs with root privileges and can access files owned by users different from the one who added the connection.

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🚨 CVE-2025-9820
A flaw was found in the GnuTLS library, specifically in the gnutls_pkcs11_token_init() function that handles PKCS#11 token initialization. When a token label longer than expected is processed, the function writes past the end of a fixed-size stack buffer. This programming error can cause the application using GnuTLS to crash or, in certain conditions, be exploited for code execution. As a result, systems or applications relying on GnuTLS may be vulnerable to a denial of service or local privilege escalation attacks.

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🚨 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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🚨 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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🚨 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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🚨 CVE-2026-11611
A flaw was found in 389 Directory Server. The Content Synchronization persistent search plugin allows unbounded memory growth when an authenticated client stops reading sync responses, enabling denial of service. Additional race conditions in plugin thread lifecycle can cause crashes during connection teardown or shutdown.

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