696 matches found
CVE-2025-14987: Incorrect Authorization
When system.enableCrossNamespaceCommands is enabled on by default, the Temporal server permits certain workflow task commands e.g. StartChildWorkflowExecution, SignalExternalWorkflowExecution, RequestCancelExternalWorkflowExecution to target a different namespace than the namespace authorized at...
CVE-2025-14986: Incorrect Authorization
When frontend.enableExecuteMultiOperation is enabled, the server can apply namespace-scoped validation and feature gates for the embedded StartWorkflowExecutionRequest using its Namespace field rather than the outer, authorized ExecuteMultiOperationRequest.Namespace. This allows a caller authoriz...
Security without Detection: Economic Denial As a Primitive for Edge and IoT Defense
Detection-based security fails against sophisticated attackers using encryption, stealth, and low-rate techniques, particularly in IoT/edge environments where resource constraints preclude ML-based intrusion detection. We present Economic Denial Security EDS, a detection-independent framework tha...
PROVEX: Enhancing SOC Analyst Trust with Explainable Provenance-Based IDS
Modern intrusion detection systems IDS leverage graph neural networks GNNs to detect malicious activity in system provenance data, but their decisions often remain a black box to analysts. This paper presents a comprehensive XAI framework designed to bridge the trust gap in Security Operations...
ScamSweeper: Detecting Illegal Accounts in Web3 Scams Via Transactions Analysis
The web3 applications have recently been growing, especially on the Ethereum platform, starting to become the target of scammers. The web3 scams, imitating the services provided by legitimate platforms, mimic regular activity to deceive users. However, previous studies have primarily concentrated...
The vulnerability in the `net/ipv6/seg6_hmac.c` component of the Linux operating system allows a hacker to trigger a service failure.
The vulnerability in the net/ipv6/seg6hmac.c component of the Linux operating system is related to a information leakage due to temporal discrepancies. Exploiting this vulnerability allows an attacker to cause service failures...
How CVSS v4.0 works: characterizing and scoring vulnerabilities
The Common Vulnerability Scoring System CVSS provides software developers, testers, and security and IT professionals with a standardized way to assess vulnerabilities. You can use CVSS to assess the threat level of each vulnerability and then prioritize mitigation accordingly. This article...
Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains
As AI agents become integral to enterprise workflows, their reliance on shared tool libraries and pre-trained components creates significant supply chain vulnerabilities. While previous work has demonstrated behavioral backdoor detection within individual LLM architectures, the critical question ...
RampoNN: A Reachability-Guided System Falsification for Efficient Cyber-Kinetic Vulnerability Detection
Detecting kinetic vulnerabilities in Cyber-Physical Systems CPS, vulnerabilities in control code that can precipitate hazardous physical consequences, is a critical challenge. This task is complicated by the need to analyze the intricate coupling between complex software behavior and the system's...
HyMAD: A Hybrid Multi-Activity Detection Approach for Border Surveillance and Monitoring
Seismic sensing has emerged as a promising solution for border surveillance and monitoring; the seismic sensors that are often buried underground are small and cannot be noticed easily, making them difficult for intruders to detect, avoid, or vandalize. This significantly enhances their...
Retrofit: Continual Learning with Bounded Forgetting for Security Applications
Modern security analytics are increasingly powered by deep learning models, but their performance often degrades as threat landscapes evolve and data representations shift. While continual learning CL offers a promising paradigm to maintain model effectiveness, many approaches rely on full...
CISO's Expert Guide To AI Supply Chain Attacks
AI-enabled supply chain attacks jumped 156% last year. Discover why traditional defenses are failing and what CISOs must do now to protect their organizations. Download the full CISO’s expert guide to AI Supply chain attacks here. TL;DR AI-enabled supply chain attacks are exploding in scale and...
Smartphone User Fingerprinting on Wireless Traffic
Due to the openness of the wireless medium, smartphone users are susceptible to user privacy attacks, where user privacy information is inferred from encrypted Wi-Fi wireless traffic. Existing attacks are limited to recognizing mobile apps and their actions and cannot infer the smartphone user...
Temporal Analysis Framework for Intrusion Detection Systems: A Novel Taxonomy for Time-Aware Cybersecurity
Most intrusion detection systems still identify attacks only after significant damage has occurred, detecting late-stage tactics rather than early indicators of compromise. This paper introduces a temporal analysis framework and taxonomy for time-aware network intrusion detection. Through a...
Adapting Large Language Models to Emerging Cybersecurity Using Retrieval Augmented Generation
Security applications are increasingly relying on large language models LLMs for cyber threat detection; however, their opaque reasoning often limits trust, particularly in decisions that require domain-specific cybersecurity knowledge. Because security threats evolve rapidly, LLMs must not only...
Denial Of Service (DoS)
go.temporal.io/server is vulnerable to Denial of service DoS. The vulnerability is due to insufficiently specific bounds checking on the authorization header, which allows an attacker to trigger excessive memory allocation leading to a denial of service...
PromoGuardian: Detecting Promotion Abuse Fraud with Multi-Relation Fused Graph Neural Networks
As e-commerce platforms develop, fraudulent activities are increasingly emerging, posing significant threats to the security and stability of these platforms. Promotion abuse is one of the fastest-growing types of fraud in recent years and is characterized by users exploiting promotional activiti...
EUVD-2008-5207
Malware in sbrugna...