Suricata IDPE 8.0.5

Suricata is a network intrusion detection and prevention engine developed by the Open Information Security Foundation and its supporting vendors. The engine is multi-threaded and has native IPv6 support. It's capable of loading existing Snort rules and signatures and supports the Barnyard and...

SCARA: A Semantics-Constrained Autonomous Remediation Agent for Opaque Industrial Software Vulnerabilities

Critical-infrastructure operators are increasingly expected to assess and remediate vulnerabilities in deployed industrial software. However, much of this software exists as opaque industrial software OIS, including stripped firmware, proprietary protocol handlers, and compiled control logic...

Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-To-Image Diffusion Models

Text-to-image diffusion models are increasingly developed through open-source reuse and repeated downstream fine-tuning, where reused checkpoints are difficult to verify and thus more susceptible to hidden backdoor behaviors. In such ecosystems, a single pretrained model may be sequentially adapt...

Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025)

The evaluation of large language model refusal on malicious-coding tasks now spans at least thirteen publicly released prompt corpora AdvBench, the CyberSecEval family, RMCBench, RedCode, MCGMark, JailbreakBench, CySecBench, MalwareBench, CIRCLE, MOCHA, ASTRA, Scam2Prompt / Innoc2Scam-bench, and...

Loaded Dice: Solving the Non-Selection Problem for Scalable Probabilistic RowHammer Defense

DRAM scaling has exacerbated the RowHammer vulnerability. To counter this, JEDEC recently introduced Per Row Activation Counting PRAC with the Alert Back-Off protocol as an optional DDR5 feature. While promising, PRAC requires per-row counter cells that incur area overhead, and updating them on...

Impacket 0.13.1

Impacket is a collection of Python classes for working with network protocols. Impacket is focused on providing low-level programmatic access to the packets and, for some protocols e.g. SMB1-3 and MSRPC, the protocol implementation itself. Packets can be constructed from scratch, as well as parse...

Fifty Shades of Darknet

The Invisible Internet Project I2P is a peer-to-peer anonymous overlay network whose architecture includes a structurally distinct sublayer not characterized in existing security literature. We term this sublayer the Exclusive Network: nodes here host operational services and draw on I2P's routin...

Joern 4.0.542

Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...

A Hybrid Cluster-Based Classification Model for Anomaly Detection in Unbalanced IoT Networks

Detecting anomalies in Internet of Things IoT networks is a critical security challenge, often hampered by highly imbalanced and diverse network traffic datasets. Standard classifiers struggle to perform well across all traffic types. This paper proposes a hybrid detection model to address this...

Set Shaping Theory As a Complementary Payload-Shaping Layer for Steganography

This paper studies the use of Set Shaping Theory SST as a reversible payload-shaping layer for least significant bit LSB image steganography. The proposal is not intended to replace existing steganographic methods or to compete with them as a new embedding scheme. Instead, SST is positioned as a...

SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection

Music streaming fraud, where bad actors artificially inflate stream counts to manipulate chart rankings and royalty payments, poses a significant threat to streaming services and legitimate content creators. Traditional fraud detection approaches struggle with a critical challenge: many legitimat...

Taking Cryptography out of the Data Path Via Near-Memory Processing in DRAM

Cryptographic algorithms such as AES-128 and SHA-256 are fundamental to ensuring data security and integrity. Although these algorithms are computationally efficient, their performance is often constrained by the processor-centric architectures e.g., CPUs, GPUs, primarily due to the memory...

Be Kind, Rewrite: Benign Projections Via Rewriting Defend against LLM Data Poisoning Attacks

Large language models LLMs are highly susceptible to backdoor attacks BAs, wherein training samples are poisoned using trigger-based harmful content. Furthermore, existing defenses have proven ineffective when extensively tested across BA patterns. To better combat BAs, we explore the use of LLM...

From Detection to Response: A Deep Learning and Retrieval-Augmented Generation Framework for Network Intrusion Mitigation

Machine-learning-based Intrusion Detection Systems IDS have achieved impressive accuracy in classifying network attacks, yet they consistently fall short on the question that matters most to a security analyst: what should I do next? This paper presents a unified, end-to-end framework that closes...

Apple Security Advisory 05-11-2026-4

Apple Security Advisory 05-11-2026-4 - iOS 16.7.16 and iPadOS 16.7.16 addresses a failed deletion issue...

Joern 4.0.540

Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...

Apple Security Advisory 05-11-2026-9

Apple Security Advisory 05-11-2026-9 - tvOS 26.5 addresses buffer overflow, denial of service, information leakage, null pointer, out of bounds access, out of bounds read, out of bounds write, and use-after-free vulnerabilities...

Apple Security Advisory 05-11-2026-2

Apple Security Advisory 05-11-2026-2 - iOS 18.7.9 and iPadOS 18.7.9 addresses buffer overflow, bypass, code execution, denial of service, information leakage, integer overflow, out of bounds write, resource exhaustion, and use-after-free vulnerabilities...

Apple Security Advisory 05-11-2026-10

Apple Security Advisory 05-11-2026-10 - watchOS 26.5 addresses buffer overflow, bypass, denial of service, information leakage, out of bounds access, out of bounds read, out of bounds write, and use-after-free vulnerabilities...

A No-Defense Defense against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?

Gradient-based adversarial attacks subtly manipulate inputs of Machine Learning ML models to induce incorrect predictions. This paper investigates whether careful architectural choices alone can yield an inherently robust Deep Neural Network DNN-based Network Intrusion Detection Systems NIDS,...

Learning to Look Benign: Targeted Evasion of Malware Detectors Via API Import Injection

Machine learning-based malware detectors are widely deployed in antivirus and endpoint detection systems, yet their reliance on static features makes them vulnerable to adversarial manipulation. This paper investigates whether a malware sample can be intentionally misclassified as a specific beni...

Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models

Unified autoregressive models UAMs are transformer models that generate text as well as image tokens within a single autoregressive pass. Shared parameters and a multimodal vocabulary simplify the training pipeline and facilitate flexible multimodal generation, yet might introduce new...

nimrm 1.2.0

nimrm is a native WinRM interactive shell client written in Nim. It's designed to be a compact and fast tool for system administration and authorized security testing. Key features include NTLM and Kerberos authentication, in-memory operations, file transfers, OPSEC awareness, and cross platform...

Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection

Federated learning for intrusion detection rests on a flawed premise: that every participating institution contributes equally to the shared model. In practice, a financial institution with mature security controls and low vulnerability exposure produces fundamentally different data than a...

Agent Security Is a Systems Problem

We take the position that agent security must be approached as a systems problem: the AI model powering the agent must be treated as an untrusted component, and security invariants must be enforced at the system level. Through this lens, efforts to increase model robustness the dominant viewpoint...

Bridging the Cybersecurity Gap between Web2 and Web3 - an Incident-Based Analysis of Organizational and Application-Level Security Failures

The rapid adoption of Web3 infrastructures has led to a growing number of security incidents affecting cryptocurrency exchanges, custody services and blockchain-based platforms. While existing research predominantly focuses on vulnerabilities in smart contracts and blockchain protocols, a...

Apple Security Advisory 05-11-2026-8

Apple Security Advisory 05-11-2026-8 - macOS Sonoma 14.8.7 addresses buffer overflow, bypass, code execution, denial of service, information leakage, integer overflow, out of bounds write, and use-after-free vulnerabilities...

OX Dovecot Pro / CE Improper Handling / Denial of Service / Bypass

OX Dovecot Pro and Ox Dovecot CE suffer from bypass, denial of service, and insecure handling vulnerabilities. Versions affected vary based on the issue...

Edupage Information Disclosure

Both authenticated and publicly accessible anonymous guest accounts on Edupage portal allow an attacker to capture the complete list of user IDs, names students, parents, and teachers, and the associated banking details IBAN codes...

Babel: Jailbreaking Safety Attention Via Obfuscation Distribution Optimized Sampling

Despite rigorous safety alignment, Large Language Models LLMs remain vulnerable to jailbreak attacks. Existing black-box methods often rely on heuristic templates or exhaustive trials, lacking mechanistic interpretability and query efficiency. In this study, we investigate an intrinsic...

Apple Security Advisory 05-11-2026-5

Apple Security Advisory 05-11-2026-5 - iOS 15.8.8 and iPadOS 15.8.8 addresses a failed deletion issue...

Apple Security Advisory 05-13-2026-1

Apple Security Advisory 05-13-2026-1 - Safari 26.5 addresses use-after-free vulnerabilities...

Apple Security Advisory 05-11-2026-1

Apple Security Advisory 05-11-2026-1 - iOS 26.5 and iPadOS 26.5 addresses buffer overflow, bypass, denial of service, information leakage, null pointer, out of bounds access, out of bounds read, out of bounds write, and use-after-free vulnerabilities...

Explainable Machine Learning for Phishing Detection on Heterogeneous Datasets with MCP-Enabled Deployment

With the growth in digital transformation and Internet usage, the Social Engineering techniques such as Phishing have become a major concern for the users and the organizations. Phishing attacks involve deceptive techniques to trick users into revealing confidential information that causes...

Apple Security Advisory 05-11-2026-6

Apple Security Advisory 05-11-2026-6 - macOS Tahoe 26.5 addresses buffer overflow, bypass, code execution, denial of service, information leakage, integer overflow, null pointer, out of bounds access, out of bounds read, out of bounds write, and use-after-free vulnerabilities...

Apple Security Advisory 05-11-2026-3

Apple Security Advisory 05-11-2026-3 - iPadOS 17.7.11 addresses a failed deletion issue...

Flawfinder 2.0.20

Flawfinder searches through source code for potential security flaws, listing potential security flaws sorted by risk, with the most potentially dangerous flaws shown first. This risk level depends not only on the function, but on the values of the parameters of the function...

Devilray: A Systematic Adversarial Model Revealing Blind Spots in Fake Base Station Detection

Fake Base Station FBS detection has been a critical focus of cellular security research for over two decades. However, significant financial and regulatory barriers to accessing commercial FBS C-FBS devices have limited direct visibility into real-world operations, forcing detection systems to be...

Apple Security Advisory 05-11-2026-7

Apple Security Advisory 05-11-2026-7 - macOS Sequoia 15.7.7 addresses buffer overflow, bypass, code execution, denial of service, information leakage, integer overflow, out of bounds write, and use-after-free vulnerabilities...

Three Heads Are Better Than One: A Multi-Perspective Reasoning Framework for Enhanced Vulnerability Detection

Automated vulnerability detection is crucial for enhancing software security by identifying potential flaws that attackers could exploit, thereby reducing the reliance on labor-intensive manual code audits. Recent advancements have shifted towards leveraging large language models LLMs for...

Botan C++ Crypto Algorithms Library 3.12.0

Botan is a C++ library of cryptographic algorithms, including AES, DES, SHA-1, RSA, DSA, Diffie-Hellman, and many others. It also supports X.509 certificates and CRLs, and PKCS 10 certificate requests, and has a high level filter/pipe message processing system. The library is easily portable to...

Not What You Asked For: Typographic Attacks in Household Robot Manipulation

Open-vocabulary embodied AI agents increasingly rely on vision-language models such as CLIP for object perception and task grounding. However, the shared embedding space that enables this flexibility introduces a structural vulnerability to typographic attacks, where printed text in a physical...

Edupage Cross Site Request Forgery / Spoofing

Non-sanitised submission of malicious SVG files on the Edupage portal in combination with cross site request forgery attacks allows the triggering various actions on behalf of other users, e.g. identity spoofing, sending fake messages, giving fake approvals, etc...

Backdooring Masked Diffusion Language Models

Masked diffusion language models MDLMs are emerging as a compelling new paradigm for text generation, but their training-time security remains largely unexplored. Existing backdoor attacks on Gaussian diffusion models or autoregressive language models do not directly apply to MDLMs because MDLMs...

Hallucination As Exploit: Evidence-Carrying Multimodal Agents

Multimodal agents use screenshots, documents, and webpages to choose tool calls. When a false visual claim triggers a click, email, extraction, or transfer, hallucination becomes an authorization failure rather than an answer-quality error. We formalize this failure mode as hallucination-to-actio...

Apple Security Advisory 05-11-2026-11

Apple Security Advisory 05-11-2026-11 - visionOS 26.5 addresses buffer overflow, bypass, denial of service, information leakage, out of bounds access, out of bounds read, out of bounds write, and use-after-free vulnerabilities...

One Step Further: Understanding PLC Binaries through Cross-Platform Reverse Engineering and Function-Level Semantic Analysis

As emerging attacks increasingly target Industrial Control Systems ICS, the security of Programmable Logic Controllers PLCs has become a critical concern. Binary Code Analysis BCA, which enables analysts to understand compiled programs without source code, is essential for ICS security tasks such...

ContraFix: Agentic Vulnerability Repair Via Differential Runtime Evidence and Skill Reuse

Large language model LLM agents are increasingly used for automated vulnerability repair AVR, where repository-level reasoning enables them to inspect context and produce source-code patches. However, recent empirical results show that these agents still struggle with real-world vulnerabilities...

Rethinking Side-Channel Analysis: Automated Discovery and Analysis of Side-Channel Leakage with LLM-Assisted Agents

Side-channel attacks exploit unintended information leakage from system behavior and continue to pose serious privacy risks in modern platforms. Despite extensive prior work, side-channel analysis remains largely manual and fragmented, typically assuming predefined target events and a fixed set o...

Speed Kills: Exploring Confused Deputy Attacks through Edge AI Accelerators

AI Accelerator AIA are specialized hardware e.g., Tensor Processing Unit TPU, that enable optimal and efficient execution of AI applications and on-device inference. The growing demand for AI applications has led to the widespread adoption of AIAs on Edge or embedded devices on Edge or embedded...