Rise from the Ashes: LLM-Based Static Analysis for Deep Learning Framework Bugs

Deep learning DL frameworks are critical AI infrastructures that often hide bugs with serious security implications. While dynamic approaches such as fuzzing are effective in uncovering these bugs, they require real test execution and incur high computational costs. Static analysis is a natural...

Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety

Large language models LLMs can be induced to produce harmful content through multi turn strategies in which no single user message appears clearly unsafe. Existing runtime safeguards commonly evaluate prompts or responses as isolated messages, which limits their ability to recover ac-cumulated...

Oracle E-Business Suite 12.2.15 Exposure Checker

This repository contains a safe vulnerability checker for CVE-2026-46817, a critical vulnerability affecting the Oracle Payments File Transmission component of Oracle E-Business Suite versions 12.2.3 through 12.2.15. Unlike an exploit, the script performs a series of HTTP probes against common...

Toward a Unified Security and Privacy Framework for AI-Native 6G Networks

Sixth Generation 6G communication networks are expected to evolve into AI-native, highly autonomous ecosystems that integrate communication, computing, sensing, and artificial intelligence. While these capabilities enable unprecedented connectivity and intelligent services, they also create a...

Antaeus: Hunting Repository-Level Logic Vulnerabilities Via Context-Grounded LLM Reasoning

LLM-based vulnerability detectors have shown promising results in identifying memory-safety bugs and vulnerability classes whose violations can often be expressed through established security properties. Logic vulnerabilities, however, pose a different challenge, as their identification requires...

A Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems

Large language models are no longer only text generators. They are increasingly embedded in retrieval pipelines, enterprise assistants, coding environments, robotic systems, security-operation workflows, and autonomous agents that can read private data, call tools, write files, execute code, and...

Witness Complexity of Short Descriptions: A Cryptographic Perspective

In cryptographic practice, where protocols impose strict time bounds, implementations demand predictable resource usage, and real-world systems require immediate verification for security and usability, a short key or certificate is useful only if it can be expanded or verified within a bounded...

Hybrid Topological Data Analysis and LSTM Networks for Enhanced Network Intrusion Detection Using CIC-IDS2017 Dataset

Network intrusion detection systems NIDS are crucial in cybersecurity infrastructure, needing advanced techniques to detect hostile activity in network traffic. This research introduces a hybrid approach that combines Topological Data Analysis TDA with Long Short-Term Memory LSTM networks to...

FreeBSD Security Advisory - FreeBSD-SA-26:39.execve

FreeBSD Security Advisory - During execve2 of a SUID binary, the new virtual address space is installed before the process credentials are updated. During this window, a process running as the same user can access the target process's memory via procfs or linprocfs, because the kernel's debugging...

Flounder 0.1.2

Flounder turns modern coding agents into an end-to-end security audit system. Give it an authorized target boundary - a repository, source tree, package, deployed clue, or prior run - and the agent can prepare the workspace, read the code and supporting material, map the attack surface, dig into...

FreeBSD Security Advisory - FreeBSD-SA-26:46.ktls

FreeBSD Security Advisory - When building the iovec array for a received TLS 1.2 CBC record, ktlsocftlscbcdecrypt incremented the iovec index for every mbuf in the chain, including mbufs that were skipped because they contained only TLS header bytes. This left uninitialized entries in the iovec...

CVE-TTP KG: Knowledge Graph Linking Software Vulnerabilities to Attack Behaviors

In the evolving threat landscape, adversaries exploit software vulnerabilities to launch sophisticated attacks, challenging traditional defenses. Although databases like CVE and NVD provide detailed technical information, they often lack links to attacker behaviors such as tactics and techniques,...

Exploring Side-Channel Protections in Hardware Implementations of PQC ML-KEM Verification

As ML-KEM is adopted as a post-quantum cryptographic standard, resilience against physical side-channel attacks has become essential. Among the constituent steps, the decapsulation Fujisaki-Okamoto FO verification is particularly vulnerable to side-channel power and electromagnetic EM analysis. I...

FreeBSD Security Advisory - FreeBSD-SA-26:41.libalias

FreeBSD Security Advisory - The RTSP handler in libalias rewrote outgoing packets into a fixed-length stack buffer without checking whether the rewritten data fit in the buffer, or whether the result fit back in the original packet...

FreeBSD Security Advisory - FreeBSD-SA-26:43.tcp

FreeBSD Security Advisory - The RACK setsockopt2 handler drops the connection lock in order to copy option data from userspace, then reacquires the lock. After reacquiring, it verifies that the TCP stack had not been switched away, but did not reload its pointer to the stack's per-connection...

(A)I Sees What You Don't: Exploiting New Attack Surfaces in Third-Party Mobile Agents

Third-party mobile agents powered by Vision-Language Models VLMs have emerged as a promising paradigm for automating smartphone interactions. These agents act as high-privilege decision-makers, perceiving device states through screenshots and executing actions via VLM reasoning, transforming how ...

FreeBSD Security Advisory - FreeBSD-SA-26:45.audit

FreeBSD Security Advisory - When auditing a system call executed via ptracePTSCREMOTE, the kernel passed the return value of an internal setup function to AUDITSYSCALLEXIT rather than the actual result of the executed system call. As a result, committed audit records for system calls which return...

FreeBSD Security Advisory - FreeBSD-SA-26:44.posixshm

FreeBSD Security Advisory - Pages belonging to largepage shared memory objects were not explicitly wired. When sendfile2 transmitted such an object with the SFNOCACHE flag, it freed the underlying pages after transmission even though existing mappings still referred to them. Separately, certain...

CVE2PoC Exploit Finder

CVE2PoC is a tool that helps penetration testers, bug hunters, and security researchers quickly find public exploits, proof of concepts PoCs, and advisories related to a CVE ID...

EnclaveX: End-To-End Confidential AI with CPU/GPU TEEs

Large Language Models LLMs have rapidly proliferated, driving widespread adoption of AI applications. Most deployments rely on centralized infrastructures such as Microsoft Azure, Google Cloud, or AWS, requiring users to share sensitive data and training or fine-tuning code. This dependence raise...

FreeBSD Security Advisory - FreeBSD-SA-26:38.jail

FreeBSD Security Advisory - When the JAILATDESC flag is specified, kernjailset and kernjailget released the reference to the caller's current prison before looking up the jail descriptor. If the descriptor lookup failed, error-handling paths released the same reference a second time...

FreeBSD Security Advisory - FreeBSD-SA-26:48.compat32

FreeBSD Security Advisory - The compat32 kevent handler translates a 64-bit kevent struct into a stack- declared 32-bit struct. It did not first zero the stack struct...

Comparative Analysis of Machine Learning Based Intrusion Detection in Realistic IoT Networks

The Internet of Things IoT is rapidly growing and expanding into various sectors, such as healthcare, transportation, smart homes, and more. Despite the benefits of using IoT devices, they present several challenges. Given the significant role these devices play in our lives, it is crucial to...

FLARE-AI: Flaw Reporting for AI

Flaw reporting for deployed AI systems is fundamental to identifying system failures and improving AI safety. Yet the AI reporting ecosystem is fragmented: researchers who identify flaws often do not know what or where to report, and groups who receive reports rarely share them with other relevan...

An Empirical Study of Security Calibration in Large Language Models for Code

Large Language Models LLMs are rapidly transforming software development, yet their use in security-critical contexts raises a key question: do models know when their generated code is insecure? This property, known as calibration, measures whether a model's confidence aligns with the true...

Securing the AI Agent: A Unified Framework for Multi-Layer Agent Red Teaming

The fast growth of open-source AI infrastructure, from model serving engines and agent platforms to the Model Context Protocol MCP ecosystem and the language models themselves, has outpaced the security tooling available to defend it. We present AI-Infra-Guard, an open-source framework that...

Nuclei 3.10.0

Nuclei is a modern, high-performance vulnerability scanner that leverages simple YAML-based templates. It empowers you to design custom vulnerability detection scenarios that mimic real-world conditions, leading to zero false positives...

Robocalls: A Worldwide or US-Only Problem? Analyzing Spam and Fraud in International Phone Calls

Unsolicited automated phone calls robocalls are a serious threat: in the US alone, these calls resulted in reported losses of 1.1$ billion during 2025. Phishing and spoofing consistently rank among the most reported crimes within the FBI's Internet Crime Complaint Center, with phone call scams...

FreeBSD Security Advisory - FreeBSD-SA-26:37.vm

FreeBSD Security Advisory - When msyncMSINVALIDATE is called on a mapping of an unmanaged device object, the physical pages in the mapping range are marked invalid but remain in the pager's page list. A subsequent page fault will cause the fault handler to re-insert the page into the object's lis...

FreeBSD Security Advisory - FreeBSD-SA-26:49.iconv

FreeBSD Security Advisory - Several encoding modules, including HZ, UTF-7, VIQR, and ZW, did not properly check the size of the caller-supplied output buffer before writing converted characters. The ISO-2022 encoding module used a stack buffer sized to MBLENMAX 6 bytes for intermediate character...

FreeBSD Security Advisory - FreeBSD-SA-26:42.unlinkat

FreeBSD Security Advisory - The kernel function that implements unlinkat2 and funlinkat2 validated the ATRESOLVEBENEATH flag but failed to pass it through to the underlying path lookup. The flag was silently dropped, so path resolution was not actually restricted...

A Forgery Attack on the Block.Co Blockchain-Based Digital Credential Certification System

Certification of digital documents, such as academic credentials, seems a particularly suitable application for the use of blockchain and distributed ledger technologies. Indeed, these technologies enable decentralized certification systems that rely on the immutability and persistence of their...

FreeBSD Security Advisory - FreeBSD-SA-26:40.zfs

FreeBSD Security Advisory - The ZFSIOCUSERSPACEMANY ioctl, used by zfs-userspace8, truncated a 64-bit output buffer size to a 32-bit integer for the kernel allocation, but used the original 64-bit size as the buffer limit when writing records. The ZFSIOCRECVNEW ioctl, in the heal receive path,...

GLPI Plugin Surface Mapper

This is a source-derived GLPI plugin surface mapper for building canonical plugin path wordlists and probing reachable code paths under /plugins/ and /marketplace/...

A Multi-Task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution

Malware classification remains a challenging problem due to its inherent heterogeneity, the presence of packed binaries, and the diverse distribution of malware families. Traditional single-model detection mechanisms often fail to generalize across such diverse data, leading to degraded...

Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection

Researchers and practitioners increasingly apply Large Language Models LLMs for automated vulnerability detection. Recent work has shown that LLMs are susceptible to the same cognitive heuristics that bias human judgment. Yet, no work has investigated whether these heuristics affect a model's...

A Hybrid Framework for Crypto-Ransomware Detection in Enterprise Shared Storage

Most corporate workplace environments enforce policies and technical controls that limit the storage of sensitive data on client endpoints. Consequently, ransomware operators have evolved variants that expand their attack surface from local systems to network drives and shared storage resources. ...

IronCurtain 0.12.0

IronCurtain is an early-stage research project exploring how to make AI agents safe enough to be genuinely useful. It is a runtime for autonomous AI agents, where security policy is derived from a human-readable constitution. APIs, configuration formats, and architecture may change...

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense

We identify a security-fidelity tradeoff in defending LLMs against indirect prompt injection: defenses resist injected instructions largely by suppressing untrusted text, which corrupts tasks that must preserve it, such as translation and document editing. Attack-success metrics cannot see this,...

Beyond Wireless Security: Covert Communications in Large Language Model-Enabled Edge Networks

Large language model LLM-enabled edge networks LLMENs offer mobile users high-quality and low-latency AI-generated content services in the 6G era. However, unlike typical edge networks, LLMENs present unique security challenges due to the inherent complexity of LLMs, their high computational...

Uncovering Similar but Different Packages in PyPI and Potential Security Threats

In this study, we present a large-scale, in-depth study of package replication in PyPI. As a vital platform, PyPI streamlines Python package distribution for developers. However, beyond small-scale code cloning, we observe that many replicated packages exist on PyPI, which duplicate most of the...

Win32k Callback Detouring: Abusing Legitimate Kernel-to-User Callback Dispatch for Code Execution

This injection technique abuses the kernel-to-user callback dispatch path used by the Windows graphical subsystem win32k.sys to obtain code execution inside a remote process. By locating the KernelCallbackTablethrough the target process's Process Environment Block PEB, an operator can enumerate...

CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation

The increasing connectivity of modern vehicles has made securing in-vehicle communication networks a critical challenge. Intrusion Detection Systems IDS have been widely studied as a defense mechanism for detecting malicious activities on the Controller Area Network CAN bus. However, the evaluati...

Continuous-Variable Source-Independent Quantum Random Number Generation with General POVMs

Continuous-variable source-independent quantum random number generators offer the highest generation rates among semi-device-independent protocols. In reality, the protocol design is limited due to permissible measurement configurations. In this work, we propose a rigorous security proof framewor...

Joern 4.0.568

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...

American Fuzzy Lop plus plus 5.02c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

Hephaestus: Toward a Cybersecurity AI Scientist

Cyber offense is moving to machine speed; cyber research itself is not. Existing AI scientist systems make end-to-end research automation increasingly plausible, but they target relatively stable scientific domains. We argue that AI-native cybersecurity is a different kind of scientific object. I...

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems

Multi-agent systems MAS are increasingly used to automate complex, distributed workflows. However, their inter-agent communication channels introduce new attack surfaces that remain poorly understood and are difficult to defend against. In this paper, we address how defenders should prioritize...

Wireless Backdoor Attack and Defense for Semantic Communications over Multiple Access Channel

Semantic communication SemCom aims to preserve semantic meaning and task-oriented information beyond conventional message recovery over wireless channels. The adoption of SemCom in shared-access wireless networks introduces new vulnerabilities for multi-user semantic inference. This paper conside...

Maestro 0.17.2

Maestro is a cross-platform desktop app for orchestrating your fleet of AI agents and projects. It's a high-velocity solution for hackers who are juggling multiple projects in parallel. Designed for power users who live on the keyboard and rarely touch the mouse. Collaborate with AI to create...