CVE-2026-10530

The Pie Register WordPress plugin before 3.8.4.10 does not use sufficiently random values when generating its account verification tokens, allowing unauthenticated attackers to predict a valid token and activate an account without access to the associated email inbox...

EUVD-2026-38210

The Pie Register WordPress plugin before 3.8.4.10 does not use sufficiently random values when generating its account verification tokens, allowing unauthenticated attackers to predict a valid token and activate an account without access to the associated email inbox...

CVE-2026-10530

The Pie Register WordPress plugin before 3.8.4.10 does not use sufficiently random values when generating its account verification tokens, allowing unauthenticated attackers to predict a valid token and activate an account without access to the associated email inbox...

CVE-2026-10530

The CVE-2026-10530 entry concerns the WordPress Pie Register plugin prior to 3.8.4.10, where account verification tokens are generated with insufficient randomness. This allows an unauthenticated attacker to predict a valid token and activate a user account without access to the associated email ...

Siemens RUGGEDCOM RST2428P Improper Input Validation (CVE-2026-23111)

In the Linux kernel, the following vulnerability has been resolved: netfilter: nftables: fix inverted genmask check in nftmapcatchallactivate nftmapcatchallactivate has an inverted element activity check compared to its non-catchall counterpart nftmapelemactivate and compared to what is logically...

CVE-2024-52488 WordPress Grip theme <= 1.0.9 - Arbitrary Plugin Activation/Deactivation to RCE vulnerability

Subscriber Arbitrary File Upload in Grip = 1.0.9 versions...

vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution

Summary An assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode python -O or PYTHONOPTIMIZE=1. Details vLLM uses ...

GHSA-Q8GQ-377P-JQ3R vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution

Summary An assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode python -O or PYTHONOPTIMIZE=1. Details vLLM uses ...

PT-2026-50140

Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.22.0 Description An assert-based security check in the activation function loading process allows an unauthenticated attacker to achieve arbitrary code execution on the server. This occurs when vLLM is run in Python...

CVE-2026-50633

A flaw was found in Apache CXF's JCA integration module. This Java Naming and Directory Interface JNDI Injection vulnerability allows for arbitrary code execution. A remote attacker could exploit this by manipulating the Java EE Connector Architecture JCA deployment descriptor ra.xml or runtime...

Exploit for CVE-2026-10795

CVE Lab: CVE-2026-10795 - UpdraftPlus UpdraftCentral RPC Authe...

Improper Validation of Specified Type of Input

Overview Affected versions of this package are vulnerable to Improper Validation of Specified Type of Input in the DispatchMDBMessageListenerImpl method. An attacker can achieve arbitrary code execution by providing crafted values in the JCA deployment descriptor ra.xml or runtime activation...

CVE-2026-50633

A JNDI Injection vulnerability has been discovered in Apache CXF's JCA integration module, which can allow for code execution, if an attacker is able to manipulate the JCA deployment descriptor ra.xml or runtime activation parameters. Users are recommended to upgrade to versions 4.2.2 or 4.1.7 or...

EUVD-2026-36401

A JNDI Injection vulnerability has been discovered in Apache CXF's JCA integration module, which can allow for code execution, if an attacker is able to manipulate the JCA deployment descriptor ra.xml or runtime activation parameters. Users are recommended to upgrade to versions 4.2.2 or 4.1.7,...

CVE-2026-50633

A JNDI Injection vulnerability has been discovered in Apache CXF's JCA integration module, which can allow for code execution, if an attacker is able to manipulate the JCA deployment descriptor ra.xml or runtime activation parameters. Users are recommended to upgrade to versions 4.2.2 or 4.1.7 or...

CVE-2026-50633 Apache CXF: JNDI Injection vulnerability in DispatchMDBMessageListenerImpl

A JNDI Injection vulnerability has been discovered in Apache CXF's JCA integration module, which can allow for code execution, if an attacker is able to manipulate the JCA deployment descriptor ra.xml or runtime activation parameters. Users are recommended to upgrade to versions 4.2.2 or 4.1.7 or...

CVE-2026-50633 Apache CXF: JNDI Injection vulnerability in DispatchMDBMessageListenerImpl

A JNDI Injection vulnerability has been discovered in Apache CXF's JCA integration module, which can allow for code execution, if an attacker is able to manipulate the JCA deployment descriptor ra.xml or runtime activation parameters. Users are recommended to upgrade to versions 4.2.2 or 4.1.7 or...

WordPress Restaurant Cafeteria theme <= 0.4.6 - Subscriber+ Arbitrary Plugin Installation/Activation vulnerability

Subscriber+ Arbitrary Plugin Installation/Activation vulnerability discovered by Khaled Alenazi Nxploited in WordPress Theme Restaurant Cafeteria versions = 0.4.6...

Free Spotify Premium hacks on social media are spreading infostealers

Short-form video platforms like TikTok and Instagram Reels have become the latest way cybercriminals spread malware. We've already seen attackers move away from traditional phishing emails and toward tactics that trick people into installing malware themselves. Now they're being lured with slick...

Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs

Large language models can be fine-tuned to encode prompt-borne secrets into fluent, seemingly benign outputs. This creates a steganographic exfiltration risk that is difficult to detect with output-level steganalysis. Recent work proposes mechanistic detection using linear probes that recover the...