WordPress Drift plugin <= 1.5.0 - Authenticated (Contributor+) Stored Cross-Site Scripting via Post Title vulnerability

Authenticated Contributor+ Stored Cross-Site Scripting via Post Title vulnerability discovered by Peter Thaleikis in WordPress Theme Drift versions = 1.5.0...

Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers

Machine learning ML models are increasingly deployed in cybersecurity applications such as phishing detection and network intrusion prevention. However, these models remain vulnerable to adversarial perturbations small, deliberate input modifications that can degrade detection accuracy and...

Unity Linux 20.1060a / 20.1070a Security Update: kernel (UTSA-2026-003586)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-003586 advisory. In the Linux kernel through 5.3.8, f-fmt.sdr.reserved is uninitialized in rcardrifgfmtsdrcap in drivers/media/platform/rcardrif.c, which could cause a memory...

MiracleLinux 4 : krb5-1.10.3-10.AXS4.1 (AXSA:2013-280:01)

The remote MiracleLinux 4 host has packages installed that are affected by multiple vulnerabilities as referenced in the AXSA:2013-280:01 advisory. Kerberos V5 is a trusted-third-party network authentication system, which can improve your network's security by eliminating the insecure practice of...

Why Serverless Risk Demands Identity-Aware Security at Cloud Scale

Key Takeaways Serverless shifts security risk from infrastructure to identity, permissions, and configuration, where small design choices can have an outsized impact. Short-lived cloud credentials reduce persistence but remain powerful; when exposed, they enable authenticated access, escalation,...

Unity Linux 20.1070e Security Update: kernel (UTSA-2026-000202)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-000202 advisory. In the Linux kernel through 5.3.8, f-fmt.sdr.reserved is uninitialized in rcardrifgfmtsdrcap in drivers/media/platform/rcardrif.c, which could cause a memory...

Toward Real-World IoT Security: Concept Drift-Resilient IoT Botnet Detection Via Latent Space Representation Learning and Alignment

Although AI-based models have achieved high accuracy in IoT threat detection, their deployment in enterprise environments is constrained by reliance on stationary datasets that fail to reflect the dynamic nature of real-world IoT NetFlow traffic, which is frequently affected by concept drift...

LFreeDA: Label-Free Drift Adaptation for Windows Malware Detection

Machine learning ML-based malware detectors degrade over time as concept drift introduces new and evolving families unseen during training. Retraining is limited by the cost and time of manual labeling or sandbox analysis. Existing approaches mitigate this via drift detection and selective...

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...

Malicious code in ilang-36 (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 95f3d5214d48d3d68c54fc8ec2433a2984ebc708a0735ae75c0e4721ab051491 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

Malicious code in pyxis-cors-lint-staged-auriga (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 2ff6de8a612c21ba192af4d769dd5031ed2e5826c6cc048594abc611bfac9b59 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

Battle Compliance Confusion and Security Fatigue with Qualys and ServiceNow

Once upon a time, your biggest worry was whether Dave in Accounting would click on a suspicious link. Today, you wish Dave were your only worry. You’re likely balancing four major clouds, including AWS, Azure, Google Cloud, and Oracle, plus on-premises, hybrid environments, thousands of ephemeral...

Malicious code in siska-klipo7-sluey (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector c8c5791e6e237eca7bd454d0c968d64b78e59ab52245979a58744ecb09af4c85 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

The Trust Paradox in LLM-Based Multi-Agent Systems: When Collaboration Becomes a Security Vulnerability

Multi-agent systems powered by large language models are advancing rapidly, yet the tension between mutual trust and security remains underexplored. We introduce and empirically validate the Trust-Vulnerability Paradox TVP: increasing inter-agent trust to enhance coordination simultaneously expan...

Beyond a Single Perspective: Towards a Realistic Evaluation of Website Fingerprinting Attacks

Website Fingerprinting WF attacks exploit patterns in encrypted traffic to infer the websites visited by users, posing a serious threat to anonymous communication systems. Although recent WF techniques achieve over 90% accuracy in controlled experimental settings, most studies remain confined to...

EUVD-2013-4255

Malware in sbrugna...

AutoML in Cybersecurity: An Empirical Study

Automated machine learning AutoML has emerged as a promising paradigm for automating machine learning ML pipeline design, broadening AI adoption. Yet its reliability in complex domains such as cybersecurity remains underexplored. This paper systematically evaluates eight open-source AutoML...

ExpIDS: a Drift-Adaptable Network Intrusion Detection System with Improved Explainability

Despite all the advantages associated with Network Intrusion Detection Systems NIDSs that utilize machine learning ML models, there is a significant reluctance among cyber security experts to implement these models in real-world production settings. This is primarily because of their opaque natur...

Domino Effect: How One Vendor's AI App Breach Toppled Giants

A single AI chatbot breach at Salesloft-Drift exposed data from 700+ companies, including security leaders. The attack shows how AI integrations expand risk, and why controls like IP allow-listing, token security, and monitoring are critical...

FBI Warns of UNC6040 and UNC6395 Targeting Salesforce Platforms in Data Theft Attacks

The U.S. Federal Bureau of Investigation FBI has issued a flash alert to release indicators of compromise IoCs associated with two cybercriminal groups tracked as UNC6040 and UNC6395 for orchestrating a string of data theft and extortion attacks. "Both groups have recently been observed targeting...