CLEANSTART-2026-ZU57657 Security fixes in temporal-server 1.31.0.153.1-r0

Package temporal-server version 1.31.0.153.1-r0 fixes 35 vulnerabilities: CVE-2026-41602, CVE-2026-42502, CVE-2026-42504, CVE-2026-42505, CVE-2026-42506...

CLEANSTART-2026-BQ82502 Security fixes in temporal-ui-server-fips 2.44.0-r0

Package temporal-ui-server-fips version 2.44.0-r0 fixes 2 vulnerabilities: CVE-2025-68121, CVE-2025-61732...

CLEANSTART-2026-PY24465 Security fixes in temporal-server-fips 1.29.2-r0

Package temporal-server-fips version 1.29.2-r0 fixes 1 vulnerabilities: CVE-2026-26958...

CLEANSTART-2026-SP73148 Security fixes for CVE-2025-61726, CVE-2025-61728, CVE-2025-61730, CVE-2025-68121, CVE-2026-24051, CVE-2026-25679, CVE-2026-25680, CVE-2026-25681, CVE-2026-26958, CVE-2026-27136, CVE-2026-27139, CVE-2026-27142, CVE-2026-27145, CVE-2026-32280, CVE-2026-32281, CVE-2026-32282, CVE-2026-32283, CVE-2026-32288, CVE-2026-32289, CVE-2026-33186, CVE-2026-33811, CVE-2026-33814, CVE-2026-33815, CVE-2026-33816, CVE-2026-34986, CVE-2026-39820, CVE-2026-39821, CVE-2026-39822, CVE-2026-39823, CVE-2026-39824, CVE-2026-39825, CVE-2026-39826, CVE-2026-39827, CVE-2026-39828, CVE-2026-39829, CVE-2026-39830, CVE-2026-39831, CVE-2026-39832, CVE-2026-39833, CVE-2026-39834, CVE-2026-39835, CVE-2026-39836, CVE-2026-39883, CVE-2026-40890, CVE-2026-41602, CVE-2026-41889, CVE-2026-42499, CVE-2026-42502, CVE-2026-42504, CVE-2026-42505, CVE-2026-42506, CVE-2026-42507, CVE-2026-42508, CVE-2026-46595, CVE-2026-46597, CVE-2026-46598, CVE-2026-5199, CVE-2026-5724 applied in versions: 1.5.1-r0

Multiple security vulnerabilities affect the temporal package. These issues are resolved in later releases. See references for individual vulnerability details...

ROS-20260708-73-0080

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

ROS-20260708-73-0023

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

ROS-20260708-73-0019

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

ROS-20260708-73-0020

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

ROS-20260708-73-0018

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

ROS-20260708-73-0022

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

ROS-20260708-73-0025

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

ROS-20260708-73-0021

The vulnerability of the PostgreSQL database management system is related to the disclosure of information based on temporal discrepancies. Exploiting this vulnerability can allow a malicious actor, operating remotely, to disclose the protected information...

GO-2026-5766 Temporal Server: attacker-controlled namespace could signal, delete, and reset workflows or activities in a victim namespace on the same cluster in go.temporal.io/server

Temporal Server: attacker-controlled namespace could signal, delete, and reset workflows or activities in a victim namespace on the same cluster in go.temporal.io/server...

GO-2026-5578 Temporal does not enforce authentication and authorization for the streaming AdminService/StreamWorkflowReplicationMessages endpoint in go.temporal.io/server

Temporal does not enforce authentication and authorization for the streaming AdminService/StreamWorkflowReplicationMessages endpoint in go.temporal.io/server...

MAL-2026-6039 Malicious code in @mastra/temporal (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 214be711b41a8883e3252f0e9e41bc902d62da7650334b2efdc7424194989101 The package was found to contain malicious code or consuming dependency that contains malicious code Source: ghsa-malware...

An Improved CNN-LSTM Based Intrusion Detection System for IoT Networks

With the rapid proliferation of IoT devices, security concerns have dramatically escalated and intrusion detection systems have become critical for protecting networked environments. This paper presents an improved CNN-LSTM based intrusion detection model that combines multi-class classification,...

MalTree: Tracing Malware Evolution from Embeddings at Scale

Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary relationships among malware families can inform proactive defense, but traditional reverse engineering can take months to years to uncover such lineag...

Introducing EvidenceForge: Synthetic security logs that don’t look (as) fake

Security teams need high-quality, labeled datasets to train threat hunters and incident responders, validate detection logic, and develop robust analytic models. EvidenceForge helps teams overcome the limitations of anonymized or stale public datasets, while avoiding the cost and complexity of...

Anonymous YARA Rules Are Not Anonymous

YARA rules are widely shared across threat intelligence communities to enable collective defence against malware. This practice implicitly assumes that removing metadata e.g., author fields sufficiently protects the identity of contributing organisations. To assess the validity of this assumption...

Analyzing Concentration, Temporal Routines and Targeting in Public Ransomware Leak Site Data

Ransomware has grown to become one of the most damaging types of cybercrime, affecting private and public organizations in any sector. While early types of ransomware targeted many victims via automated attacks, ransomware groups have started to specifically target organizations and companies in...