411 matches found
Cross-site Scripting (XSS)
Overview Affected versions of this package are vulnerable to Cross-site Scripting XSS in the attributionlink property, which constructs HTML by directly interpolating user-controlled fields without escaping. An attacker can execute arbitrary JavaScript in the context of users viewing ingredient o...
wger has Stored XSS via Unescaped License Attribution Fields
Stored XSS via Unescaped License Attribution Fields Summary The AbstractLicenseModel.attributionlink property in wger/utils/models.py constructs HTML strings by directly interpolating user-controlled fields licenseauthor, licensetitle, licenseobjecturl, licenseauthorurl, licensederivativesourceur...
GHSA-6F54-QJVM-WWQ3 wger has Stored XSS via Unescaped License Attribution Fields
Stored XSS via Unescaped License Attribution Fields Summary The AbstractLicenseModel.attributionlink property in wger/utils/models.py constructs HTML strings by directly interpolating user-controlled fields licenseauthor, licensetitle, licenseobjecturl, licenseauthorurl, licensederivativesourceur...
PT-2026-33300
Name of the Vulnerable Software and Affected Versions wger versions prior to 2.5 Description The attribution link property in AbstractLicenseModel constructs HTML by directly interpolating user-controlled license fields without escaping. These fields include license author, license title, license...
Auditable Agents
LLM agents call tools, query databases, delegate tasks, and trigger external side effects. Once an agent system can act in the world, the question is no longer only whether harmful actions can be prevented--it is whether those actions remain answerable after deployment. We distinguish...
[SECURITY] Fedora 42 Update: libmaxminddb-1.13.1-1.fc42
The libmaxminddb library provides a C library for reading MaxMind DB files, including the GeoIP2 databases from MaxMind. This is a custom binary format designed to facilitate fast lookups of IP addresses while allowing for great flexibility in the type of data associated with an address. The...
AttriGuard: Defeating Indirect Prompt Injection in LLM Agents Via Causal Attribution of Tool Invocations
LLM agents are highly vulnerable to Indirect Prompt Injection IPI, where adversaries embed malicious directives in untrusted tool outputs to hijack execution. Most existing defenses treat IPI as an input-level semantic discrimination problem, which often fails to generalize to unseen payloads. We...
ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution
Intrusion detection in IoT and industrial networks requires models that can detect rare attacks at low false-positive rates while remaining reliable under evolving traffic and limited labels. Existing IDS solutions often report strong in-distribution accuracy, but they may degrade when evaluated ...
GoodVibe: Security-By-Vibe for LLM-Based Code Generation
Large language models LLMs are increasingly used for code generation in fast, informal development workflows, often referred to as vibe coding, where speed and convenience are prioritized, and security requirements are rarely made explicit. In this setting, models frequently produce functionally...
Okara: Detection and Attribution of TLS Man-In-The-Middle Vulnerabilities in Android Apps with Foundation Models
Transport Layer Security TLS is fundamental to secure online communication, yet vulnerabilities in certificate validation that enable Man-in-the-Middle MitM attacks remain a pervasive threat in Android apps. Existing detection tools are hampered by low-coverage UI interaction, costly...
Holmes: An Evidence-Grounded LLM Agent for Auditable DDoS Investigation in Cloud Networks
Cloud environments face frequent DDoS threats due to centralized resources and broad attack surfaces. Modern cloud-native DDoS attacks further evolve rapidly and often blend multi-vector strategies, creating an operational dilemma: defenders need wire-speed monitoring while also requiring...
MORPHEUS: A Multidimensional Framework for Modeling, Measuring, and Mitigating Human Factors in Cybersecurity
Current cybersecurity research increasingly acknowledges the human factor, yet remains fragmented, often treating user vulnerabilities as isolated and static traits. This paper introduces MORPHEUS, a holistic framework that operationalizes human-centric security as a dynamic and interconnected...
Silver Fox Uses Fake Microsoft Teams Installer to Spread ValleyRAT Malware in China
The threat actor known as Silver Fox has been spotted orchestrating a false flag operation to mimic a Russian threat group in attacks targeting organizations in China. The search engine optimization SEO poisoning campaign leverages Microsoft Teams lures to trick unsuspecting users into downloadin...
Enhancing Adversarial Robustness of IoT Intrusion Detection Via SHAP-Based Attribution Fingerprinting
The rapid proliferation of Internet of Things IoT devices has transformed numerous industries by enabling seamless connectivity and data-driven automation. However, this expansion has also exposed IoT networks to increasingly sophisticated security threats, including adversarial attacks targeting...
AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence
Large Language Models LLMs have demonstrated strong capabilities in natural language reasoning, yet their application to Cyber Threat Intelligence CTI remains limited. CTI analysis involves distilling large volumes of unstructured reports into actionable knowledge, a process where LLMs could...
The Attribution Story of WhisperGate: An Academic Perspective
This paper explores the challenges of cyberattack attribution, specifically APTs, applying the case study approach for the WhisperGate cyber operation of January 2022 executed by the Russian military intelligence service GRU and targeting Ukrainian government entities. The study provides a detail...
EUVD-2019-14210
Malware in sbrugna...
EUVD-2020-20128
Malware in sbrugna...