368 matches found
Criminal AI-as-a-Service in 2026: How the Underground Market Is Operationalizing Cybercrime
Introduction The underground market for criminally oriented generative AI has moved beyond the early hype surrounding 'malicious chatbots.' The gradual integration of AI as a productivity layer within cybercrime operations has become the dominant story, indicating that while the potential for ful...
Researchers Build Self-Replicating AI Worm That Operates Entirely on Local, Open-Weight Models
University of Toronto researchers have built and tested a proof-of-concept AI-driven computer worm that uses a locally hosted open-weight large language model to reason its way through a network, generate tailored attack strategies for each target it encounters, and replicate itself, all without...
CVE-2026-6932
The Woo Commerce Minimum Weight plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 3.0.1. This is due to missing nonce verification on the settings update handler in edit-weight.php. This makes it possible for unauthenticated attackers to modify t...
RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks
Reasoning-capable large language models can be induced to spend their generation budget on injected decoy tasks rather than answering the user's question, causing denial of service when no final answer is produced and denial of wallet when excess output tokens are billed. Input-side safety...
Revisiting Vul-RAG: Reproducibility and Replicability of RAG-Based Vulnerability Detection with Open-Weight Models
Large language models LLMs have shown strong potential for automated software vulnerability detection, particularly in retrieval-augmented generation RAG settings. However, for approaches relying on proprietary models and APIs, reproducibility and replicability remain largely unexplored, raising...
Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection
We show that LoRA adapters, the dominant distribution format for fine-tuned LLMs, can be reliably backdoored through training data poisoning while preserving baseline task performance. On a Qwen 2.5 1.5B prompt-injection classifier, a small fraction of poisoned examples drives a...
Widening the Gap: Exploiting LLM Quantization Via Outlier Injection
LLM quantization has become essential for memory-efficient deployment. Recent work has shown that quantization schemes can pose critical security risks: an adversary may release a model that appears benign in full precision but exhibits malicious behavior once quantized by users. However, existin...
EUVD-2026-29412
The Woo Commerce Minimum Weight plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 3.0.1. This is due to missing nonce verification on the settings update handler in edit-weight.php. This makes it possible for unauthenticated attackers to modify t...
CVE-2026-6932
The Woo Commerce Minimum Weight plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 3.0.1. This is due to missing nonce verification on the settings update handler in edit-weight.php. This makes it possible for unauthenticated attackers to modify t...
CVE-2026-6932
CVE-2026-6932 affects the WordPress plugin WooCommerce Minimum Weight (versions
CVE-2026-6932 Woo Commerce Minimum Weight <= 3.0.1 - Cross-Site Request Forgery via Settings Update Form
The Woo Commerce Minimum Weight plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 3.0.1. This is due to missing nonce verification on the settings update handler in edit-weight.php. This makes it possible for unauthenticated attackers to modify t...
CVE-2026-6932 Woo Commerce Minimum Weight <= 3.0.1 - Cross-Site Request Forgery via Settings Update Form
The Woo Commerce Minimum Weight plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 3.0.1. This is due to missing nonce verification on the settings update handler in edit-weight.php. This makes it possible for unauthenticated attackers to modify t...
CVE-2026-6932
The Woo Commerce Minimum Weight plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 3.0.1. This is due to missing nonce verification on the settings update handler in edit-weight.php. This makes it possible for unauthenticated attackers to modify t...
PT-2026-39967
The Woo Commerce Minimum Weight plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to and including 3.0.1. This is due to missing nonce verification on the settings update handler in edit-weight.php. This makes it possible for unauthenticated attackers to modify t...
WordPress plugin Woo Commerce Minimum Weight 跨站请求伪造漏洞
WordPress and WordPress plugins are both products of the WordPress Foundation. WordPress is a blog platform developed using the PHP language. This platform allows for the creation of personal blog websites on servers based on PHP and MySQL. A WordPress plugin is an application extension. WordPres...
WordPress Woo Commerce Minimum Weight plugin <= 3.0.1 - Cross-Site Request Forgery vulnerability
Cross-Site Request Forgery vulnerability discovered by afnaan - SMKN 1 Bantul in WordPress Plugin Woo Commerce Minimum Weight versions = 3.0.1...
pyquorum: Timing side‑channel in mul_mod
Impact The mulmod function implements multiplication via a binary expansion loop whose execution time depends on the Hamming weight of the second operand the exponent. An attacker who can measure the time of secret‑sharing operations e.g., via a remote service could progressively recover the valu...
PT-2026-38310
Name of the Vulnerable Software and Affected Versions PyQuorum versions prior to 0.2.1 Description The mul mod function implements multiplication using a binary expansion loop. The execution time of this process depends on the Hamming weight the number of symbols that are different from zero of t...
Astra Linux – Vulnerability in Linux, Linux 5.10
In the Linux kernel, the following vulnerabilities have been resolved: blk-cgroup: fixed a UAF vulnerability by acquiring the blkcg lock before destroying the blkg. KASAN reports a use-after-free issue during the fuzz test: 693354.104835...
Unity Linux 20.1050e / 20.1060e / 20.1070e Security Update: kernel (UTSA-2026-007569)
The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-007569 advisory. In the Linux kernel, the following vulnerability has been resolved: blk-cgroup: fix UAF by grabbing blkcg lock before destroying blkg pd KASAN reports a use-after-fr...