397 matches found
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...
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...
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...
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...
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...
Before You Hand over the Wheel: Evaluating LLMs for Security Incident Analysis
Security incident analysis SIA poses a major challenge for security operations centers, which must manage overwhelming alert volumes, large and diverse data sources, complex toolchains, and limited analyst expertise. These difficulties intensify because incidents evolve dynamically and require...
CVE-2026-2292 Morkva UA Shipping <= 1.7.9 - Authenticated (Administrator+) Stored Cross-Site Scripting via 'Weight, kg' Field
The Morkva UA Shipping plugin for WordPress is vulnerable to Stored Cross-Site Scripting via admin settings in all versions up to, and including, 1.7.9 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with administrator-level...
WordPress Morkva UA Shipping plugin <= 1.7.9 - Authenticated (Administrator+) Stored Cross-Site Scripting via 'Weight, kg' Field vulnerability
Authenticated Administrator+ Stored Cross-Site Scripting via 'Weight, kg' Field vulnerability discovered by Phap Nguyen Anh - FIS in WordPress Plugin Morkva UA Shipping versions = 1.7.9...
Kraken: Higher-Order EM Side-Channel Attacks on DNNs in near and Far Field
The multi-million dollar investment required for modern machine learning ML has made large ML models a prime target for theft. In response, the field of model stealing has emerged. Attacks based on physical side-channel information have shown that DNN model extraction is feasible, even on CUDA...
GHSA-3M4Q-JMJ6-R34Q Keras has a Local File Disclosure via HDF5 External Storage During Keras Weight Loading
Summary TensorFlow / Keras continues to honor HDF5 “external storage” and ExternalLink features when loading weights. A malicious .weights.h5 or a .keras archive embedding such weights can direct loadweights to read from an arbitrary readable filesystem path. The bytes pulled from that path...
Keras has a Local File Disclosure via HDF5 External Storage During Keras Weight Loading
Summary TensorFlow / Keras continues to honor HDF5 “external storage” and ExternalLink features when loading weights. A malicious .weights.h5 or a .keras archive embedding such weights can direct loadweights to read from an arbitrary readable filesystem path. The bytes pulled from that path...
Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks
As the capabilities of large language models continue to advance, so does their potential for misuse. While closed-source models typically rely on external defenses, open-weight models must primarily depend on internal safeguards to mitigate harmful behavior. Prior red-teaming research has largel...
Aegis: Towards Governance, Integrity, and Security of AI Voice Agents
With the rapid advancement and adoption of Audio Large Language Models ALLMs, voice agents are now being deployed in high-stakes domains such as banking, customer service, and IT support. However, their vulnerabilities to adversarial misuse still remain unexplored. While prior work has examined...