CVE-2026-71694: Cross-Site Request Forgery (CSRF)

An issue in Berkeley Out-of-Order Machine BOOM / BoomTile RTL benchmark v1.2 2d08d0d8b4563212175212f9db0e69f6e68c9619 allows a remote attacker to execute arbitrary code via the CSR trap-return state restoration logic, MRET handling logic, mstatus.MPRV update path, CSRFile logic in ProcessorFuzz...

CVE-2026-71694

An issue in Berkeley Out-of-Order Machine BOOM / BoomTile RTL benchmark v1.2 2d08d0d8b4563212175212f9db0e69f6e68c9619 allows a remote attacker to execute arbitrary code via the CSR trap-return state restoration logic, MRET handling logic, mstatus.MPRV update path, CSRFile logic in ProcessorFuzz...

EUVD-2026-62483

An issue in Berkeley Out-of-Order Machine BOOM / BoomTile RTL benchmark v1.2 2d08d0d8b4563212175212f9db0e69f6e68c9619 allows a remote attacker to execute arbitrary code via the CSR trap-return state restoration logic, MRET handling logic, mstatus.MPRV update path, CSRFile logic in ProcessorFuzz...

PT-2026-78381

Name of the Vulnerable Software and Affected Versions Berkeley Out-of-Order Machine BOOM / BoomTile RTL benchmark version 1.2 Description A flaw in the CSR trap-return state restoration logic, MRET handling logic, mstatus.MPRV update path, and CSRFile logic within the...

LLMs and Contextual Integrity

I have been thinking a lot about AI and integrity. Part of that is contextual integrity. I recently found two papers on the topic. "CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs": Abstract: Large Language Models LLMs increasingly use persistent memory...

MobileWorldSafety: Benchmarking GUI Agent Safety against Environmental Injection Attacks in Android Apps

LLM-powered GUI agents that autonomously operate smartphones are rapidly transitioning from research prototypes to early real-world deployment. However, because these agents routinely process untrusted environmental content, they are highly vulnerable to environmental injection attacks, which...

Benchmarking Identity-Sensitive LLM Outputs for Surveillance and Security Robots

Large language models LLMs are increasingly used to generate textual robot design specifications, interaction policies, and risk assessments during early-stage robot development. Such outputs may influence how surveillance and security robots are conceptualized, documented, and ultimately...

WeSCE: A Benchmark for Measuring Security Drift in LLM-Driven Code Editing

In this work, we introduce WeSCE, a benchmark for quantifying security drift in code editing under weak-security constraints, where tasks specify only functional objectives without explicit security requirements. WeSCE consists of 400 executable programs derived from real-world code, covering...

GO-2026-5039 vulnerabilities

Vulnerabilities for packages: nfs-subdir-external-provisioner, containerd, victoriametrics-cluster, kots, apisix-ingress-controller, crossplane-provider-family-aws, rabbitmq-cluster-operator, crossplane-provider-aws-ec2, terraform-provider-azurerm, src-fingerprint, trino, newrelic-infra-operator,...

GO-2026-5013 vulnerabilities

Vulnerabilities for packages: containerd, pulumi-language-dotnet, kots, crossplane-provider-family-aws, crossplane-provider-aws-ec2, terraform-provider-azurerm, teleport, pulumi, k9s, vault-benchmark, argo-cd, gitlab-pages, cloud-provider-aws, docker-machine-driver-linode, kyverno, step-issuer,...

GO-2026-4340 vulnerabilities

Vulnerabilities for packages: vault-secrets-webhook, nfs-subdir-external-provisioner, helm-set-status, crossplane-provider-family-aws, rabbitmq-cluster-operator, crossplane-provider-aws-ec2, crossplane-provider-sql, azure-service-operator, src-fingerprint, newrelic-infra-operator, apache-exporter...

Does Fixing Break Security? an Empirical Study of Security Degradation in Iterative LLM-Driven Infrastructure-As-Code Repair

Background: Iterative feedback loops are the dominant paradigm for improving LLM-generated Infrastructure-as-Code IaC: validators such as Checkov and terraform validate feed error signals back for successive repair attempts. Prior work reports cumulative-best metrics, which are non-decreasing by...

VICBench: A Multi-Language Benchmark for Code Vulnerability Detection

Evaluating security vulnerability detection tools requires benchmark datasets with vulnerability-inducing commits VICs - the commits that first introduce vulnerabilities into codebases. VICs are essential for determining the full range of vulnerable software versions. Existing vulnerability...

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Active Directory Hardening & Mutual Pentest Lab A self-contai...

Cross-Corpus Evaluation of Generalizable Vulnerability Detection in IoT Firmware

IoT firmware vulnerability detection remains challenging due to heterogeneous firmware ecosystems, resource-constrained platforms, and limitations in existing benchmarks. Many datasets are synthetic or general-purpose and lack human-verified, contamination-screened annotations, limiting evidence ...

The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark

AI agents are rapidly improving in cybersecurity capabilities when the source code is available for analysis, yet much of the software most consequential to cybersecurity, including malware, firmware, and proprietary applications, is available only as binaries. Analyzing such software requires...

What SecureIQLab Cloud WAAP 5.0 means for your application security

You cannot verify a vendor’s security claims from their own datasheet, including ours. That is why independent validation matters. In our recent guide to the best WAAP solutions Best WAAP Solutions 2026: Enterprise Buyer Guide, we argued that every serious shortlist should include independent...

POKEx: Performance Analysis of POKE-Key Exchange and SIDH-Variants

In this paper, we present a comparative performance analysis of the POKE-based key exchange and SIDH variants. SIDH gained attention for its small key size and efficient performance, and has been selected as an alternate candidate in NIST PQC Round 4. However, following the key recovery attack by...

Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining

Research and Education Networks RENs serve as critical infrastructure for scientific discovery, yet they face a unique security paradox: their normal traffic patterns which are characterized by massive, bursty "elephant flows" are statistically indistinguishable from volumetric attacks such as DD...

kube-bench v0.16.0

kube-bench is a tool that checks whether Kubernetes is deployed securely by running the checks documented in the CIS Kubernetes Benchmark. Tests are configured with YAML files, making this tool easy to update as test specifications evolve. CIS Scanning as part of Trivy and the Trivy Operator Triv...