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...

Astra Linux - уязвимость в linux-5.10, linux-6.1, linux, linux-5.15

In the Linux kernel, the following vulnerability has been resolved: net: let netcore.devweight always be non-zero The following problem was encountered during stability test: NULL netdevice: NAPI poll function processbacklog+0x0/0x530 returned 1, exceeding its budget of 0. ------------ cut here...

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 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

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

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...

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 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 - уязвимость в 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...

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

The advancement of Large Language Models LLMs has raised concerns regarding their dual-use potential in cybersecurity. Existing evaluation frameworks overwhelmingly focus on Information Technology IT environments, failing to capture the constraints, and specialized protocols of Operational...

TorchGeo Remote Code Execution Vulnerability

Impact TorchGeo 0.4–0.6.0 used an eval statement in its model weight API that could allow an unauthenticated, remote attacker to execute arbitrary commands. All platforms that expose torchgeo.models.getweight or torchgeo.trainers as an external API could be affected. Patches The eval statement wa...

GHSA-GHQ9-VC6F-8QJF TorchGeo Remote Code Execution Vulnerability

Impact TorchGeo 0.4–0.6.0 used an eval statement in its model weight API that could allow an unauthenticated, remote attacker to execute arbitrary commands. All platforms that expose torchgeo.models.getweight or torchgeo.trainers as an external API could be affected. Patches The eval statement wa...

📄 Google Keras 3.13.0 Denial of Service

A denial of service vulnerability exists in the HDF5 weight loading component of Google Keras versions 3.0.0 through 3.13.0 on all platforms. The vulnerability is caused by the absence of any validation or throttling when processing HDF5 dataset shape metadata declared inside a .keras archive...