AZL-64484 CVE-2025-38126 affecting package kernel for versions less than 6.6.96.1-1

In the Linux kernel, the following vulnerability has been resolved: net: stmmac: make sure that ptprate is not 0 before configuring timestamping The stmmac platform drivers that do not open-code the clkptprate value after having retrieved the default one from the device-tree can end up with 0 in...

UBUNTU-CVE-2025-38126

In the Linux kernel, the following vulnerability has been resolved: net: stmmac: make sure that ptprate is not 0 before configuring timestamping The stmmac platform drivers that do not open-code the clkptprate value after having retrieved the default one from the device-tree can end up with 0 in...

UBUNTU-CVE-2025-38125

In the Linux kernel, the following vulnerability has been resolved: net: stmmac: make sure that ptprate is not 0 before configuring EST If the ptprate recorded earlier in the driver happens to be 0, this bogus value will propagate up to EST configuration, where it will trigger a division by 0...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stmmac driver fails to check for a ptprate of zero, which could result in a divide-by-zero error...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stmmac driver fails to check for a ptprate of zero, which could result in a divide-by-zero error...

Advancing Jailbreak Strategies: a Hybrid Approach to Exploiting LLM Vulnerabilities and Bypassing Modern Defenses

The advancement of Pre-Trained Language Models PTLMs and Large Language Models LLMs has led to their widespread adoption across diverse applications. Despite their success, these models remain vulnerable to attacks that exploit their inherent weaknesses to bypass safety measures. Two primary...

On the Feasibility of Poisoning Text-To-Image AI Models Via Adversarial Mislabeling

Today's text-to-image generative models are trained on millions of images sourced from the Internet, each paired with a detailed caption produced by Vision-Language Models VLMs. This part of the training pipeline is critical for supplying the models with large volumes of high-quality image-captio...

DEBIAN-CVE-2025-52576

Kanboard is project management software that focuses on the Kanban methodology. Prior to version 1.2.46, Kanboard is vulnerable to username enumeration and IP spoofing-based brute-force protection bypass. By analyzing login behavior and abusing trusted HTTP headers, an attacker can determine vali...

CVE-2025-52576

Kanboard is project management software that focuses on the Kanban methodology. Prior to version 1.2.46, Kanboard is vulnerable to username enumeration and IP spoofing-based brute-force protection bypass. By analyzing login behavior and abusing trusted HTTP headers, an attacker can determine vali...

CVE-2025-2171

Aviatrix Controller versions prior to 7.1.4208, 7.2.5090, and 8.0.0 do not enforce rate limiting on password reset attempts, allowing adversaries to brute force guess the 6-digit password reset PIN...

CVE-2025-52576: Observable Discrepancy

Kanboard is project management software that focuses on the Kanban methodology. Prior to version 1.2.46, Kanboard is vulnerable to username enumeration and IP spoofing-based brute-force protection bypass. By analyzing login behavior and abusing trusted HTTP headers, an attacker can determine vali...

The vulnerability of the function ieee80211_get_rate_duration() in the net/mac80211/airtime.c module of the mac80211 stack in the Linux operating system allows a hacker to trigger a service failure.

The vulnerability of the ieee80211getrateduration function in the net/mac80211/airtime.c module of the mac80211 stack in the Linux operating system is related to unvalidated array indexing. Exploiting this vulnerability could allow an attacker to cause a service failure...

CVE-2025-2171

Aviatrix Controller versions prior to 7.1.4208, 7.2.5090, and 8.0.0 do not enforce rate limiting on password reset attempts, allowing adversaries to brute force guess the 6-digit password reset PIN...

CVE-2025-2171

CVE-2025-2171 affects Aviatrix Controller. The issue is a failure to enforce rate limiting on password reset attempts, allowing brute‑force guessing of the 6‑digit reset PIN. Affected versions are Aviatrix Controller before 7.1.4208, 7.2.5090, and 8.0.0. Public sources in the connected documents ...

CVE-2025-52917

The Yealink RPS API before 2025-05-26 lacks rate limiting, potentially enabling information disclosure via excessive requests...

BIT-GHOST-2024-34451

Ghost through 5.85.1 allows remote attackers to bypass an authentication rate-limit protection mechanism by using many X-Forwarded-For headers with different values. NOTE: the vendor's position is that Ghost should be installed with a reverse proxy that allows only trusted X-Forwarded-For headers...

CVE-2025-2171: Improper Restriction of Excessive Authentication Attempts

Aviatrix Controller versions prior to 7.1.4208, 7.2.5090, and 8.0.0 do not enforce rate limiting on password reset attempts, allowing adversaries to brute force guess the 6-digit password reset PIN...

Aviatrix Controller 安全漏洞

Aviatrix Controller is a software application from the American company Aviatrix. Extend and control the native structure with the cloud provider's APIs to extend its functionality and integrate it into the software. A security vulnerability exists in Aviatrix Controller versions prior to 7.1.420...

Deep CNN Face Matchers Inherently Support Revocable Biometric Templates

One common critique of biometric authentication is that if an individual's biometric is compromised, then the individual has no recourse. The concept of revocable biometrics was developed to address this concern. A biometric scheme is revocable if an individual can have their current enrollment i...

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models Via Trigger Inversion and Activation Tuning

Multimodal contrastive learning models like CLIP have demonstrated remarkable vision-language alignment capabilities, yet their vulnerability to backdoor attacks poses critical security risks. Attackers can implant latent triggers that persist through downstream tasks, enabling malicious control ...