Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm

There is growing interest in giving AI agents access to cryptocurrencies as well as to the smart contracts that transact them. But doing so, this position paper argues, could lead to formidable new vectors of AI harm. To support this argument, we first examine the unique properties of...

Rainbow Artifacts from Electromagnetic Signal Injection Attacks on Image Sensors

Image sensors are integral to a wide range of safety- and security-critical systems, including surveillance infrastructure, autonomous vehicles, and industrial automation. These systems rely on the integrity of visual data to make decisions. In this work, we investigate a novel class of...

AI Agent Smart Contract Exploit Generation

We present A1, an agentic execution driven system that transforms any LLM into an end-to-end exploit generator. A1 has no hand-crafted heuristics and provides the agent with six domain-specific tools that enable autonomous vulnerability discovery. The agent can flexibly leverage these tools to...

FuncVul: an Effective Function Level Vulnerability Detection Model Using LLM and Code Chunk

Software supply chain vulnerabilities arise when attackers exploit weaknesses by injecting vulnerable code into widely used packages or libraries within software repositories. While most existing approaches focus on identifying vulnerable packages or libraries, they often overlook the specific...

A Comparative Study and Implementation of Key Derivation Functions Standardized by NIST and IEEE

Since many applications and services require pseudorandom numbers PRNs, it is feasible to generate specific PRNs under given key values and input messages using Key Derivation Functions KDFs. These KDFs are primarily constructed based on Message Authentication Codes MACs, where the MAC serves as ...

QGuard:Question-Based Zero-Shot Guard for Multi-Modal LLM Safety

The recent advancements in Large Language ModelsLLMs have had a significant impact on a wide range of fields, from general domains to specialized areas. However, these advancements have also significantly increased the potential for malicious users to exploit harmful and jailbreak prompts for...

LLM vs. SAST: a Technical Analysis on Detecting Coding Bugs of GPT4-Advanced Data Analysis

With the rapid advancements in Natural Language Processing NLP, large language models LLMs like GPT-4 have gained significant traction in diverse applications, including security vulnerability scanning. This paper investigates the efficacy of GPT-4 in identifying software vulnerabilities compared...

Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis Via Intermediate Representation and Language Model

Malicious PDF files have emerged as a persistent threat and become a popular attack vector in web-based attacks. While machine learning-based PDF malware classifiers have shown promise, these classifiers are often susceptible to adversarial attacks, undermining their reliability. To address this...

WordPress Celestial Aura Theme 2.2 Shell Upload

WordPress Celestial Aura Theme versions 2.2 and below suffer from a remote shell upload vulnerability...

ReGA: Representation-Guided Abstraction for Model-Based Safeguarding of LLMs

Large Language Models LLMs have achieved significant success in various tasks, yet concerns about their safety and security have emerged. In particular, they pose risks in generating harmful content and vulnerability to jailbreaking attacks. To analyze and monitor machine learning models,...

RADEP: a Resilient Adaptive Defense Framework against Model Extraction Attacks

Machine Learning as a Service MLaaS enables users to leverage powerful machine learning models through cloud-based APIs, offering scalability and ease of deployment. However, these services are vulnerable to model extraction attacks, where adversaries repeatedly query the application programming...

The Hidden Dangers of Browsing AI Agents

Autonomous browsing agents powered by large language models LLMs are increasingly used to automate web-based tasks. However, their reliance on dynamic content, tool execution, and user-provided data exposes them to a broad attack surface. This paper presents a comprehensive security evaluation of...

WordPress Eventin 4.0.26 Privilege Escalation

WordPress Eventin plugin versions 4.0.26 and below suffers from an unauthenticated privilege escalation vulnerability due to a missing authorization check in the importitems function...

HChain: Blockchain Based Large Scale EHR Data Sharing with Enhanced Security and Privacy

Concerns regarding privacy and data security in conventional healthcare prompted alternative technologies. In smart healthcare, blockchain technology addresses existing concerns with security, privacy, and electronic healthcare transmission. Integration of Blockchain Technology with the Internet ...

MalVis: a Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification

As technology advances, Android malware continues to pose significant threats to devices and sensitive data. The open-source nature of the Android OS and the availability of its SDK contribute to this rapid growth. Traditional malware detection techniques, such as signature-based, static, and...

WordPress Digits OTP Authentication Bypass

WordPress Digits plugin versions prior to 8.4.6.1 suffer from an OTP authentication bypass vulnerability...

One for All: Formally Verifying Protocols Which Use Aggregate Signatures (Extended Version)

Aggregate signatures are digital signatures that compress multiple signatures from different parties into a single signature, thereby reducing storage and bandwidth requirements. BLS aggregate signatures are a popular kind of aggregate signature, deployed by Ethereum, Dfinity, and Cloudflare...

AI-Driven IRM: Transforming Insider Risk Management with Adaptive Scoring and LLM-Based Threat Detection

Insider threats pose a significant challenge to organizational security, often evading traditional rule-based detection systems due to their subtlety and contextual nature. This paper presents an AI-powered Insider Risk Management IRM system that integrates behavioral analytics, dynamic risk...

WordPress WP-Advanced-Search 3.3.9.3 Shell Upload

WordPress WP-Advanced-Search plugin versions 3.3.9.3 and below suffer from a remote shell upload vulnerability...

LASHED: LLMs and Static Hardware Analysis for Early Detection of RTL Bugs

While static analysis is useful in detecting early-stage hardware security bugs, its efficacy is limited because it requires information to form checks and is often unable to explain the security impact of a detected vulnerability. Large Language Models can be useful in filling these gaps by...

A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems

Digital twins DTs help improve real-time monitoring and decision-making in water distribution systems. However, their connectivity makes them easy targets for cyberattacks such as scanning, denial-of-service DoS, and unauthorized access. Small and medium-sized enterprises SMEs that manage these...

GenPTW: In-Generation Image Watermarking for Provenance Tracing and Tamper Localization

The rapid development of generative image models has brought tremendous opportunities to AI-generated content AIGC creation, while also introducing critical challenges in ensuring content authenticity and copyright ownership. Existing image watermarking methods, though partially effective, often...

Fast and Robust Speckle Pattern Authentication by Scale Invariant Feature Transform Algorithm in Physical Unclonable Functions

Nowadays, due to the growing phenomenon of forgery in many fields, the interest in developing new anti-counterfeiting device and cryptography keys, based on the Physical Unclonable Functions PUFs paradigm, is widely increased. PUFs are physical hardware with an intrinsic, irreproducible disorder...

Bandit on the Hunt: Dynamic Crawling for Cyber Threat Intelligence

Public information contains valuable Cyber Threat Intelligence CTI that is used to prevent future attacks. While standards exist for sharing this information, much appears in non-standardized news articles or blogs. Monitoring online sources for threats is time-consuming and source selection is...

Private Federated Learning Using Preference-Optimized Synthetic Data

In practical settings, differentially private Federated learning DP-FL is the dominant method for training models from private, on-device client data. Recent work has suggested that DP-FL may be enhanced or outperformed by methods that use DP synthetic data Wu et al., 2024; Hou et al., 2024. The...

Valkyrie: a Response Framework to Augment Runtime Detection of Time-Progressive Attacks

A popular approach to detect cyberattacks is to monitor systems in real-time to identify malicious activities as they occur. While these solutions aim to detect threats early, minimizing damage, they suffer from a significant challenge due to the presence of false positives. False positives have ...

Complexity of Post-Quantum Cryptography in Embedded Systems and Its Optimization Strategies

With the rapid advancements in quantum computing, traditional cryptographic schemes like Rivest-Shamir-Adleman RSA and elliptic curve cryptography ECC are becoming vulnerable, necessitating the development of quantum-resistant algorithms. The National Institute of Standards and Technology NIST ha...

Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction

As the number of web applications and API endpoints exposed to the Internet continues to grow, so does the number of exploitable vulnerabilities. Manually identifying such vulnerabilities is tedious. Meanwhile, static security scanners tend to produce many false positives. While machine...

WordPress Newscrunch Theme 1.8.4.1 Shell Upload

WordPress Newscrunch theme version 1.8.4.1 suffers from a remote shell upload vulnerability...

WordPress ThemeEgg ToolKit 1.2.9 Shell Upload

WordPress ThemeEgg ToolKit plugin versions 1.2.9 and below suffer from a remote shell upload vulnerability...

WordPress ACF City Selector 1.14.0 Shell Upload

WordPress ACF City Selector plugin versions 1.14.0 and below suffer from a remote shell upload vulnerability...

Benchmark Scores Are Pipeline-Dependent: A Reliability Audit of Cybersecurity LLM Benchmarks

Large language model LLM benchmarks are often treated as fixed datasets with stable scores, yet their outcomes depend on configurable evaluation pipelines. We audit eight cybersecurity benchmarks across 10 proprietary, open-weight, and cybersecurity-specialized LLMs. By modeling benchmarks as...

The History Is the Detector: Executing CVE Patch History, End-To-End

Public vulnerability databases collect rich information about known software flaws, including their weakness types, affected components, and related patches. Fixing commits provide the exact code changes that removed these flaws. While these records capture why the original code was unsafe, they...

Candidate Comparability Before Promotion: Conditional Validation in Adaptive Network Intrusion Detection

Adaptive network intrusion detection systems retrain classifiers after drift alarms, but an alarm detects change; it does not establish that a challenger should replace the deployed incumbent. Promotion is security-relevant because it changes the model responsible for subsequent attack detection,...

Data-Optimized Contingency Screening: A Machine Learning Approach to Power System Security

Ensuring the security of the power system is essential for stability and reliability, especially in the event of disruption. Effective classification of contingency in power systems enables proactive decision-making and mitigates large-scale breakdowns and failures. This study explores the use of...

Packet Sender 8.11.1

Packet Sender is an open source utility to allow sending and receiving TCP, UDP, and SSL encrypted TCP packets as well as HTTP/HTTPS requests and panel generation. The mainline branch officially supports Windows, Mac, and Desktop Linux with Qt. Other places may recompile and redistribute Packet...

Red Hat Security Advisory 2026-55859-03

Red Hat Security Advisory 2026-55859-03 - An update for haproxy is now available for Red Hat Enterprise Linux 8. Issues addressed include a denial of service vulnerability...

RoboTask 11.0.5.1229 Authentication Bypass

RoboTask version 11.0.5.1229 contains a missing authentication vulnerability in its REST API. When the REST service is enabled with its default API-key setting, a remote unauthenticated attacker can enumerate and trigger existing tasks. Tasks execute with the privileges of the RoboTask process an...

Wavestore VMS 6.48.809 Remote Code Execution

Wavestore VMS version 6.48.809 contains a command injection vulnerability in the venusd /simple/export endpoint. An authenticated remote attacker can inject shell metacharacters into the user parameter, which is URL-decoded and passed without sanitization to a command executed through popen...

Bounded Agents: Delegation Security for Multi-Agent AI Systems

LLM-based agents can act on behalf of a user to access cloud services, call tools, or invoke agents. At session start, the agent's permissions are set but remain static, and each request is evaluated independently, without considering prior actions. Within its permissions, an agent may act contra...

Workspace Topology As an Attack Vector in Agentic Coding Assistants

Agentic coding assistants are finding widespread use, not just in new code development but in quickly ingesting and leveraging third-party code. This opens up a risk of malicious code being ingested as these coding tools operate with broad filesystem access inside developer workspaces. In this...

Compositional Threat Analysis of Latent Compromise in LLM Agent Systems: The Order 66 Scenario

In the fictional Order 66, catastrophe does not arise from a powerful command alone: a trusted population is preconditioned, a short directive activates the concealed condition, and protective authority turns against the system. This paper translates that mechanism into an origin-neutral security...

Right Divisibility in Erasing Semi-Thue Systems: A Minimal View of Intruder Deduction

The intruder deduction problem is central to symbolic security-protocol analysis: it asks whether an attacker can derive a target message from observed messages using cryptographic operators available to the attacker. Although convergent rewrite systems provide canonical normal forms, deduction...

TroPUF: Evaluating Hardware Trojan Insertion in Delay-Based Physical Unclonable Functions

Delay-based Physical Unclonable Functions PUFs are commonly used for device authentication and key generation due to the fact that they rely on manufacturing induced delay variations. However, these same variations make PUFs inherently non-deterministic, which can allow malicious logic to blend i...

Practical Graph Optimisation and AI-Driven Models for Active Directory Security Hardening

Microsoft's Active Directory AD is a directory service that enables the IT admin to manage security permissions and control access within a Windows domain network. As a core management system in many of organisation, AD has become a primary target for adversaries. While many solutions for hardeni...

Enhancing Attack Detection Capabilities in BACnet/IP Networks Using Machine-Learning Models

Building Automation Systems BAS manage critical building functions using protocols such as BACnet/IP, yet defenders have limited tooling and few labeled datasets for detecting BACnet-specific attacks. This work addresses these gaps through three contributions. First, CISA's Zeek BACnet parser is...

HijackKV: New Threat in Position-Independent KV Cache Reuse

Key-Value KV cache reduces inference latency in large language models LLMs. Traditional prefix-based reuse has low cache hit rates across inference requests because it requires exact token and position matches. To improve efficiency, recent system optimizations introduce position-independent KV...

IronCurtain 0.13.0

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...

TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystems

The emergence of metaverse platforms has created virtual economies that introduce new challenges related to fraud, bot activity, and illicit financial behavior. Despite growing interest in trustworthy metaverse analytics, existing datasets typically focus on user behavior, authentication, or...

Pardus Domain Joiner 0.5.2 Credential Disclosure

A security vulnerability has been identified in Pardus Domain Joiner version 0.5.2, where Active Directory administrative credentials are passed as plaintext command-line arguments during domain join and domain leave operations...