In-Context Autonomous Network Incident Response: An End-To-End Large Language Model Agent Approach

Rapidly evolving cyberattacks demand incident response systems that can autonomously learn and adapt to changing threats. Prior work has extensively explored the reinforcement learning approach, which involves learning response strategies through extensive simulation of the incident. While this...

LoRA-Based Parameter-Efficient LLMs for Continuous Learning in Edge-Based Malware Detection

The proliferation of edge devices has created an urgent need for security solutions capable of detecting malware in real time while operating under strict computational and memory constraints. Recently, Large Language Models LLMs have demonstrated remarkable capabilities in recognizing complex...

Lightweight LLMs for Network Attack Detection in IoT Networks

The rapid growth of Internet of Things IoT devices has increased the scale and diversity of cyberattacks, exposing limitations in traditional intrusion detection systems. Classical machine learning ML models such as Random Forest and Support Vector Machine perform well on known attacks but requir...

Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays

This paper presents a large language model LLM-based framework for detecting cyberattacks on transformer current differential relays TCDRs, which, if undetected, may trigger false tripping of critical transformers. The proposed approach adapts and fine-tunes compact LLMs such as DistilBERT to...

Unity Linux 20.1070e Security Update: kernel (UTSA-2026-000483)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-000483 advisory. A heap data infoleak in multiple locations including L2CAPPARSECONFRSP was found in the Linux kernel before 5.1-rc1. Tenable has extracted the preceding description...

Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-Based LLM Systems

Low-Rank Adaptation LoRA has become a popular solution for fine-tuning large language models LLMs in federated settings, dramatically reducing update costs by introducing trainable low-rank matrices. However, when integrated with frameworks like FedIT, LoRA introduces a critical vulnerability:...

SecureBank: A Financially-Aware Zero Trust Architecture for High-Assurance Banking Systems

Financial institutions increasingly rely on distributed architectures, open banking APIs, cloud native infrastructures, and high frequency digital transactions. These transformations expand the attack surface and expose limitations in traditional perimeter based security models. While Zero Trust...

Causal-Guided Detoxify Backdoor Attack of Open-Weight LoRA Models

Low-Rank Adaptation LoRA has emerged as an efficient method for fine-tuning large language models LLMs and is widely adopted within the open-source community. However, the decentralized dissemination of LoRA adapters through platforms such as Hugging Face introduces novel security vulnerabilities...

The Road of Adaptive AI for Precision in Cybersecurity

Cybersecurity's evolving complexity presents unique challenges and opportunities for AI research and practice. This paper shares key lessons and insights from designing, building, and operating production-grade GenAI pipelines in cybersecurity, with a focus on the continual adaptation required to...

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization

Test-time personalization in federated learning enables models at clients to adjust online to local domain shifts, enhancing robustness and personalization in deployment. Yet, existing federated learning work largely overlooks the security risks that arise when local adaptation occurs at test tim...

LFreeDA: Label-Free Drift Adaptation for Windows Malware Detection

Machine learning ML-based malware detectors degrade over time as concept drift introduces new and evolving families unseen during training. Retraining is limited by the cost and time of manual labeling or sandbox analysis. Existing approaches mitigate this via drift detection and selective...

SUSE CVE-2025-40187

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...

EUVD-2025-150387

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...

AZL-70079 CVE-2025-40187 affecting package kernel for versions less than 6.6.117.1-1

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...

CVE-2025-40187

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...

DEBIAN-CVE-2025-40187

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...

UBUNTU-CVE-2025-40187

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...

CVE-2025-40187

CVE-2025-40187 affects the Linux kernel SCTP implementation. The issue is a possible NULL pointer dereference in net/sctp during disposition handling (sctp_disposition; sctp_sf_do_5_1D_ce) when new_asoc->peer.adaptation_ind==0 and sctp_ulpevent_make_authkey==0, and sctp_ulpevent_make_authkey()...

CVE-2025-40187 net/sctp: fix a null dereference in sctp_disposition sctp_sf_do_5_1D_ce()

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...

CVE-2025-40187 net/sctp: fix a null dereference in sctp_disposition sctp_sf_do_5_1D_ce()

In the Linux kernel, the following vulnerability has been resolved: net/sctp: fix a null dereference in sctpdisposition sctpsfdo51Dce If newasoc-peer.adaptationind=0 and sctpulpeventmakeauthkey=0 and sctpulpeventmakeauthkey returns 0, then the variable aiev remains zero and the zero will be...