CLSA-2026-1780054328 Fix CVE(s): CVE-2026-3039

SECURITY UPDATE: GSS-API resource leak triggered by multi-round TKEY - debian/patches/CVE-2026-3039.patch: reject GSSSCONTINUENEEDED in dstgssapiacceptctx and release the partial security context and gouttoken so they don't accumulate per malicious TKEY query. - CVE-2026-3039...

A Synthetic Conversational Smishing Dataset for Social Engineering Detection

Smishing SMS phishing has become a serious cybersecurity threat, especially for elderly and cyber-unaware individuals, causing financial loss and undermining user trust. Although prior work has focused on detecting smishing at the level of individual messages, real-world attackers often rely on...

EUVD-2026-18716

In the Linux kernel, the following vulnerability has been resolved: netfilter: ctnetlink: fix use-after-free in ctnetlinkdumpexpct ctnetlinkdumpexpct stores a conntrack pointer in cb-data for the netlink dump callback ctnetlinkexpctdumptable, but drops the conntrack reference immediately after...

CVE-2026-23458

In the Linux kernel, the following vulnerability has been resolved: netfilter: ctnetlink: fix use-after-free in ctnetlinkdumpexpct ctnetlinkdumpexpct stores a conntrack pointer in cb-data for the netlink dump callback ctnetlinkexpctdumptable, but drops the conntrack reference immediately after...

CVE-2026-23458

The CVE-2026-23458 entry describes a Linux kernel netfilter use-after-free in ctnetlink_dump_exp_ct(). The code stores a conntrack pointer in cb->data for the netlink dump callback (ctnetlink_exp_ct_dump_table()) and drops the conntrack reference after netlink_dump_start(), so multi-round dump...

Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services

The rapid adoption of large language models LLMs in financial services introduces new operational, regulatory, and security risks. Yet most red-teaming benchmarks remain domain-agnostic and fail to capture failure modes specific to regulated BFSI settings, where harmful behavior can be elicited...

ZkRansomware: Proof-Of-Data Recoverability and Multi-Round Game Theoretic Modeling of Ransomware Decisions

Ransomware is still one of the most serious cybersecurity threats. Victims often pay but fail to regain access to their data, while also facing the danger of losing data privacy. These uncertainties heavily shape the attacker-victim dynamics in decision-making. In this paper, we introduce and...

The Imitation Game: Using Large Language Models As Chatbots to Combat Chat-Based Cybercrimes

Chat-based cybercrime has emerged as a pervasive threat, with attackers leveraging real-time messaging platforms to conduct scams that rely on trust-building, deception, and psychological manipulation. Traditional defense mechanisms, which operate on static rules or shallow content filters,...

Attack the Messages, Not the Agents: a Multi-Round Adaptive Stealthy Tampering Framework for LLM-MAS

Large language model-based multi-agent systems LLM-MAS effectively accomplish complex and dynamic tasks through inter-agent communication, but this reliance introduces substantial safety vulnerabilities. Existing attack methods targeting LLM-MAS either compromise agent internals or rely on direct...

MTSA: Multi-Turn Safety Alignment for LLMs through Multi-Round Red-Teaming

Whitepaper called MTSA: Multi-Turn Safety Alignment For LLMs Through Multi-Round Red-Teaming...