Oracle Linux 7 : kernel (ELSA-2025-21063)

The remote Oracle Linux 7 host has packages installed that are affected by multiple vulnerabilities as referenced in the ELSA-2025-21063 advisory. - HID: core: fix shift-out-of-bounds in hidreportrawevent CVE-2022-48978 Orabug: 38644370 - crypto: seqiv - Handle EBUSY correctly CVE-2023-53373...

kernel security update

3.10.0-1160.119.1.0.14 - HID: core: fix shift-out-of-bounds in hidreportrawevent CVE-2022-48978 Orabug: 38644370 - crypto: seqiv - Handle EBUSY correctly CVE-2023-53373 Orabug: 38644370 - nfsd: don't ignore the return code of svcprocregister CVE-2025-22026 Orabug: 38644370 - netsched: hfsc: Fix a...

Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection

Network Intrusion Detection Systems NIDS are essential for securing networks by identifying and mitigating unauthorized activities indicative of cyberattacks. As cyber threats grow increasingly sophisticated, NIDS must evolve to detect both emerging threats and deviations from normal behavior. Th...

Persistent Backdoor Attacks under Continual Fine-Tuning of LLMs

Backdoor attacks embed malicious behaviors into Large Language Models LLMs, enabling adversaries to trigger harmful outputs or bypass safety controls. However, the persistence of the implanted backdoors under user-driven post-deployment continual fine-tuning has been rarely examined. Most prior...

CVE-2023-53788

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

SUSE CVE-2023-53788

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

Chasing Shadows: Pitfalls in LLM Security Research

Large language models LLMs are increasingly prevalent in security research. Their unique characteristics, however, introduce challenges that undermine established paradigms of reproducibility, rigor, and evaluation. Prior work has identified common pitfalls in traditional machine learning researc...

Linux Distros Unpatched Vulnerability : CVE-2023-53788

"The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int...

EUVD-2023-60118

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

DEBIAN-CVE-2023-53788

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

CVE-2023-53788

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

UBUNTU-CVE-2023-53788

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

CVE-2023-53788 ALSA: hda/ca0132: fixup buffer overrun at tuning_ctl_set()

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

CVE-2023-53788 ALSA: hda/ca0132: fixup buffer overrun at tuning_ctl_set()

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

CVE-2023-53788

Technical details about CVE-2023-53788 are not provided in the connected documents. The SUSE advisories list the vulnerability, but no specifics on affected products/versions, root cause, or fixes are disclosed here. Monitor for updates.

CVE-2023-53788

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda/ca0132: fixup buffer overrun at tuningctlset tuningctlset might have buffer overrun at X if it didn't break from loop by matching A. static int tuningctlset... for i = 0; i TUNINGCTLSCOUNT; i++ A if nid ==...

Llama-Based Source Code Vulnerability Detection: Prompt Engineering Vs Fine Tuning

The significant increase in software production, driven by the acceleration of development cycles over the past two decades, has led to a steady rise in software vulnerabilities, as shown by statistics published yearly by the CVE program. The automation of the source code vulnerability detection...

Securing Large Language Models (LLMs) from Prompt Injection Attacks

Large Language Models LLMs are increasingly being deployed in real-world applications, but their flexibility exposes them to prompt injection attacks. These attacks leverage the model's instruction-following ability to make it perform malicious tasks. Recent work has proposed JATMO, a task-specif...

Accuracy and Efficiency Trade-Offs in LLM-Based Malware Detection and Explanation: A Comparative Study of Parameter Tuning Vs. Full Fine-Tuning

This study examines whether Low-Rank Adaptation LoRA fine-tuned Large Language Models LLMs can approximate the performance of fully fine-tuned models in generating human-interpretable decisions and explanations for malware classification. Achieving trustworthy malware detection, particularly when...

BackWeak: Backdooring Knowledge Distillation Simply with Weak Triggers and Fine-Tuning

Knowledge Distillation KD is essential for compressing large models, yet relying on pre-trained "teacher" models downloaded from third-party repositories introduces serious security risks -- most notably backdoor attacks. Existing KD backdoor methods are typically complex and computationally...