463 matches found
EUVD-2017-12103
Malware in sbrugna...
EUVD-2008-6139
Malware in sbrugna...
EUVD-2025-11008
Malicious code in bioql PyPI...
EUVD-2024-45835
Malicious code in bioql PyPI...
EUVD-2025-18400
Malicious code in bioql PyPI...
EUVD-2022-0362
Malicious code in bioql PyPI...
EUVD-2023-25259
Malicious code in bioql PyPI...
EUVD-2024-30281
Malicious code in bioql PyPI...
EUVD-2023-48808
Malicious code in bioql PyPI...
EUVD-2025-9112
Malicious code in bioql PyPI...
EUVD-2023-29707
Malicious code in bioql PyPI...
EUVD-2024-30283
Malicious code in bioql PyPI...
EUVD-2024-2373
Malicious code in bioql PyPI...
From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization
Large language models show promise for vulnerability discovery, yet prevailing methods inspect code in isolation, struggle with long contexts, and focus on coarse function- or file-level detections - offering limited actionable guidance to engineers who need precise line-level localization and...
FakeSound2: a Benchmark for Explainable and Generalizable Deepfake Sound Detection
The rapid development of generative audio raises ethical and security concerns stemming from forged data, making deepfake sound detection an important safeguard against the malicious use of such technologies. Although prior studies have explored this task, existing methods largely focus on binary...
Flying Drones to Locate Cyber-Attackers in LoRaWAN Metropolitan Networks
Today, many critical services and industrial systems rely on wireless networks for interaction with the IoT, hence becoming vulnerable to a broad number of cyber-threats. While detecting this kind of attacks is not difficult with common cyber-security tools, and even trivial for jamming, finding...
ATLANTIS: AI-Driven Threat Localization, Analysis, and Triage Intelligence System
We present ATLANTIS, the cyber reasoning system developed by Team Atlanta that won 1st place in the Final Competition of DARPA's AI Cyber Challenge AIxCC at DEF CON 33 August 2025. AIxCC 2023-2025 challenged teams to build autonomous cyber reasoning systems capable of discovering and patching...
VulAgent: Hypothesis-Validation Based Multi-Agent Vulnerability Detection
The application of language models to project-level vulnerability detection remains challenging, owing to the dual requirement of accurately localizing security-sensitive code and correctly correlating and reasoning over complex program context. We present VulAgent, a multi-agent vulnerability...
Weakly Supervised Vulnerability Localization Via Multiple Instance Learning
Software vulnerability detection has emerged as a significant concern in the field of software security recently, capturing the attention of numerous researchers and developers. Most previous approaches focus on coarse-grained vulnerability detection, such as at the function or file level. Howeve...
MAL-2025-41957 Malicious code in contentful-app-entry-localization-matrix (npm)
The package contentful-app-entry-localization-matrix was found to contain malicious code...