PT-2026-22165

Name of the Vulnerable Software and Affected Versions Kibana affected versions not specified Description An issue exists in the AI Inference Anonymization Engine within Kibana that can result in a denial of service. This is due to inefficient regular expression complexity, specifically a regular...

Elastic Kibana 安全漏洞

Elastic Kibana is a data visualization dashboard software provided by the Elastic company. There is a security vulnerability in Elastic Kibana, which stems from the inefficient complexity of regular expressions used by the AI reasoning anonymization engine. This vulnerability may lead to...

Putting Privacy to the Test: Introducing Red Teaming for Research Data Anonymization

Recently, the data protection practices of researchers in human-computer interaction and elsewhere have gained attention. Initial results suggest that researchers struggle with anonymization, partly due to a lack of clear, actionable guidance. In this work, we propose simulating re-identification...

MedDream PACS Premium Cross-Site Scripting Vulnerability (CNVD-2026-10668)

MedDream PACS Premium is an enterprise-class image storage and management server suite from MedDream. A cross-site scripting vulnerability exists in MedDream PACS Premium and is caused by improper validation of user-supplied input by the Modify Anonymization feature. An attacker could exploit the...

MedDream PACS Premium 安全漏洞

MedDream PACS Premium is an enterprise-class image storage and management server suite from MedDream. A cross-site scripting vulnerability exists in MedDream PACS Premium and is caused by improper validation of user-supplied input by the Modify Anonymization feature. An attacker could exploit the...

CVE-2023-25169

discourse-yearly-review is a discourse plugin which publishes an automated Year in Review topic. In affected versions a user present in a yearly review topic that is then anonymised will still have some data linked to its original account. This issue has been patched in commit b3ab33bbf7 which is...

Top 10 Data Anonymization Solutions for 2026

Every business today has to deal with private information – whether it is about customers, employees, or financial…...

​​Whisper Leak: A novel side-channel attack on remote language models

Microsoft has discovered a new type of side-channel attack on remote language models. This type of side-channel attack could allow a cyberattacker a position to observe your network traffic to conclude language model conversation topics, despite being end-to-end encrypted via Transport Layer...

kiro-redteam-lite

kiro-redteam-lite Red Team Automation Lite: Focused on...

EUVD-2017-2447

Malware in sbrugna...

EUVD-2019-4912

Malware in sbrugna...

EUVD-2020-18842

Malware in sbrugna...

EUVD-2025-13505

Malicious code in bioql PyPI...

EUVD-2022-1975

Malicious code in bioql PyPI...

Benchmarking Fraud Detectors on Private Graph Data

We introduce the novel problem of benchmarking fraud detectors on private graph-structured data. Currently, many types of fraud are managed in part by automated detection algorithms that operate over graphs. We consider the scenario where a data holder wishes to outsource development of fraud...

Privacy-Preserving Anonymization of System and Network Event Logs Using Salt-Based Hashing and Temporal Noise

System and network event logs are essential for security analytics, threat detection, and operational monitoring. However, these logs often contain Personally Identifiable Information PII, raising significant privacy concerns when shared or analyzed. A key challenge in log anonymization is...

Exploiting Context-Dependent Duration Features for Voice Anonymization Attack Systems

The temporal dynamics of speech, encompassing variations in rhythm, intonation, and speaking rate, contain important and unique information about speaker identity. This paper proposes a new method for representing speaker characteristics by extracting context-dependent duration embeddings from...

The Impact of Event Data Partitioning on Privacy-Aware Process Discovery

Information systems support the execution of business processes. The event logs of these executions generally contain sensitive information about customers, patients, and employees. The corresponding privacy challenges can be addressed by anonymizing the event logs while still retaining utility f...

LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning

Vertical federated learning VFL has become a key paradigm for collaborative machine learning, enabling multiple parties to train models over distributed feature spaces while preserving data privacy. Despite security protocols that defend against external attacks - such as gradient masking and...

Breaking Anonymity at Scale: Re-Identifying the Trajectories of 100K Real Users in Japan

Mobility traces represent a critical class of personal data, often subjected to privacy-preserving transformations before public release. In this study, we analyze the anonymized Yjmob100k dataset, which captures the trajectories of 100,000 users in Japan, and demonstrate how existing anonymizati...