Agentic Commerce Bench: Measuring Fraud Detection for Agents That Spend Money

AI agents now hold spend authority and settle payments without per-action human confirmation. The resulting loss is often not a security failure: a counterparty with the correct domain, the correct settlement address and a genuinely delivered service can charge more than it should, and no check...

modbus-scanner

Modbus Detection Scanner A multithreaded C scanner for detecting Modbus/TCP services using libmodbus. The scanner does not rely only on TCP port 502 being open. Instead, it establishes a Modbus/TCP connection and sends an application layer Modbus request. A valid Modbus response is used as the...

Towards Understanding LLM-Based Log Anomaly Detection: An Empirical Study of Performance, Efficiency, and Robustness

Large language models LLMs have demonstrated promising performance in log anomaly detection, yet how their adaptation strategies, architectures, and deployment configurations affect detection effectiveness remains insufficiently understood. To investigate these factors, we conduct a systematic...

Weaponizing Ground Truth: Data Poisoning Attacks by Exploiting Boundary Misalignment between Antivirus Software and Learning-Based Detectors

Machine-learning ML-based malware detectors are commonly trained using labels obtained from antivirus AV engines and aggregation services e.g., VirusTotal. This practice assumes AV-generated labels provide reliable supervision. However, small byte-level modifications can substantially alter AV...

FARE: Forensic Acceptance Region Estimation for Catching Bait-And-Switch Image Generators

Modern AI image generators are increasingly deployed as opaque APIs, where customers can query the deployed service, but cannot inspect model weights or architecture. This creates a practical challenge: a provider may pass governance certification with one generator and later silently switch to a...

Context-Aware Functional Modeling for Android Third-Party Library Detection

Third-party libraries TPLs are widely used in Android apps, but their reuse can introduce security risks and interfere with downstream program analyses. Existing Android TPL detection approaches face two key limitations: their hand-crafted features are fragile under aggressive code transformation...

A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection

We develop a new three-party quantum secret-sharing QSS protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the...

Improving the Reliability of Anomaly Detection for Encrypted OPC UA Traffic over Private 5G

Open Platform Communications Unified Architecture OPC UA is increasingly deployed over private 5G networks in industrial environments, where end-to-end encryption prevents payload inspection by network-based intrusion detection systems IDSs. Although payload-agnostic statistical features extracte...

Prompt Injection Detection for Email Agents through Attack Chain Modeling

Large language model email assistants are particularly vulnerable to indirect prompt injection because untrusted email content can be retrieved into the model context and influence subsequent tool use. Existing prompt injection detectors mainly formulate this problem as binary malicious text...

DistillGuard: Malicious NPM Package Detection and API Attack Chain Analysis Via Static Graph and LLM Distillation

The Node.js ecosystem heavily relies on NPM packages, and software supply chain attacks targeting malicious NPM packages are rampant. Malicious code primarily triggers during package installation, import, and runtime. Traditional static analysis fails to understand code semantics; machine...

CVE-2026-63451

A flaw was found in Suricata, a network Intrusion Detection System. A local user can craft a detection rule that combines frame inspection without content and a transformed match without content. Loading this specially crafted rule can trigger a heap buffer overflow, leading to a denial of servic...

CVE-2026-57222

A flaw was found in Suricata. This vulnerability allows a remote attacker to cause an incorrect detection state by sending specially crafted IPv4 and IPv6 address pairs. The flaw occurs because the system's IPPair hash does not properly compare the IP address family, leading to the reuse of state...

CVE-2026-57229

A flaw was found in Suricata, a network Intrusion Detection System IDS, Intrusion Prevention System IPS, and Network Security Monitoring engine. The SMTP Simple Mail Transfer Protocol MIME Multipurpose Internet Mail Extensions parser does not fully reset its state when processing encapsulated...

ODPure: Backdoor Purification for Object Detection Via Ensemble Corruption Consensus

With the development of applications like autonomous driving, object detection has gained significant attention, while also highlighting critical vulnerabilities like backdoor attacks that severely compromise model integrity. Specifically, such attacks involve altering the categories of objects...

SAGEGAN: Style-Based Anomaly Detection with Gaussian Embeddings Using Generative Adversarial Networks

Malware evolves faster than rule-based and signature-driven detection pipelines. This paper presents SAGEGAN, a benign-only trained malware anomaly detection framework that converts portable executable files into compact three-channel images and models benign structure through style-conditioned...

A Gmail-Based Phishing Detection Prototype for Nigerian Fintech Emails Using Sender Checks and BiLSTM Classification

Phishing emails that impersonate Nigerian fintech providers can combine deceptive sender addresses, lookalike links, and locally familiar language. This study presents a Gmail browser extension that integrates sender-domain and URL checks with a bidirectional long short-term memory BiLSTM...

"What I See Is What I Hear": Deepfake Detection across Diverse Hearing Abilities

The proliferation of audiovisual deepfakes has lowered the cost of fraud, impersonation, and misinformation, but their success ultimately depends on human perception. Detection requires integrating auditory and visual cues, yet security and privacy research has largely overlooked d/Deaf and...

Researcher Drops BigDiskBuster Zero-Day PoC That Blocks Microsoft Defender Updates

A zero-day proof-of-concept tool that stops Microsoft Defender from installing platform and signature updates by filling all available disk space was published on GitHub on September 19. The tool, called BigDiskBuster , has no patch, no CVE, and no Microsoft advisory. Its author, Abdelhamid Nacer...

forensic-timeliner

Высокоскоростной движок криминалистической обработки, созданный для специалистов DFIR. Быстрое объединение CSV-вывода от лучших инструментов триажа в единую мини-хронологию со встроенными фильтрацией, обнаружением артефактов, фильтрацией по датам, присвоением ключевых слов и дедупликацией. Релиз...

SR-Fraud: An Outcome-Supervised Reflective LLM Agent Framework for Non-Stationary Payment Fraud Detection

Real-time payment fraud detection is a non-stationary streaming prediction problem: adversaries adapt before supervised labels mature, and localized burst attacks can cause losses before retraining. Production systems typically rely on tabular classifiers and rules, which can struggle to capture...