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8 stories in the last 7d

The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE

Unit 42 demonstrates that root access on a Kubernetes node lets attackers spoof SPIFFE/SPIRE attestation and harvest co-located workloads' SVIDs.

Palo Alto Networks Unit 42 describes post-exploitation techniques in which an attacker with root on a compromised Kubernetes node spoofs Linux cgroup metadata used by the SPIRE agent during workload attestation, tricking it into issuing a co-located workload's SPIFFE Verifiable Identity Document to an attacker-controlled process. The research shows the core trust assumption of machine-identity systems—that the node is trusted—collapses once root is obtained, exposing all cryptographic identities scoped to that node. Unit 42 released an open-source tool, Spooffe, for defenders to test identity exposure, and notes the technique has not been observed exploited in the wild.

Palo Alto Unit 42 · 6d agoResearch1

Top 10 Best Kubernetes Security Tools in 2026

Top 10 Kubernetes security tools roundup highlights Sysdig and Aqua as specialists plus strong free options Kubescape, Calico, and Falco.

A buying guide ranks ten Kubernetes security tools across admission control, network policy, runtime detection, and posture management. Sysdig leads runtime depth, Aqua leads full lifecycle, Red Hat ACS owns OpenShift estates, and Wiz offers agentless graph correlation. The guide notes this category has cloud security's strongest open-source floor with Kubescape, Calico, and Falco.

Cyber Security News · 2d agoIndustry1

CVE-2026-80351: Apache Camel K: Camel K Tenant repositories reach Maven execution inside operator pod

Apache Camel K CVE-2026-80351 lets tenant-controlled Maven repository content execute code inside the operator pod; fixed in 2.9.3/2.10.2.

Apache disclosed a critical eval injection vulnerability (CVE-2026-80351) in Apache Camel K, where improperly neutralized directives in dynamically evaluated Maven configuration let tenant-controlled repository content reach Maven execution inside the operator pod. This can allow tenant-controlled content to influence code execution in the operator context. Affected versions are 2.0.0 before 2.9.3 and 2.10.1 before 2.10.2; fixes are available in 2.9.3 and 2.10.2.

Rapidly scaling online storage to serve over 1 billion ChatGPT users

OpenAI's Habitat online storage platform now handles over 70 million requests per second and 500 PB of data for 1 billion users.

OpenAI details the evolution of Habitat, its online storage platform backing ChatGPT and other products, which began in mid-2024 as a Python client-side library over Azure Cosmos DB. Habitat now processes more than 70 million requests per second, serves over 500 petabytes of data across nearly 40 geographic regions, and supports over 1 billion users weekly. By mid-2025 the client library approach became brittle, so OpenAI moved Habitat into a standalone service to centralize deployments, observability, and multi-tenancy reliability. This is part one of a two-part series; a future post will cover read optimization and scaling the Azure Cosmos DB partnership.

OpenAI News · 5d agoAI tools & infra1

12 Best CWPP Solutions Compared (2026): Features & Pricing

Editorial comparison ranks twelve CWPP vendors, with Sysdig leading K8s runtime depth, Prisma Cloud workload breadth, and Wiz agentless speed.

A 2026 buyer's guide compares twelve cloud workload protection platforms across features and pricing models. Sysdig is rated deepest for container/Kubernetes runtime via its Falco lineage, Prisma Cloud broadest across hosts, containers, and serverless, Aqua strongest on cloud-native lifecycle, and Wiz/CrowdStrike lead agentless speed and platform correlation. Category notes flag Illumio as microsegmentation and Fidelis as NDR/XDR rather than classic CWPP.

GBHackersupdated · 23h agofirst · 2d agoIndustry 8 sources

[AINews] Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMs

TypeSafe launches Jev, an RLCD-trained decision model claiming 20-200x faster, 40-400x cheaper classification than frontier LLMs, alongside Gemini 3.8 Live and Neon.

TypeSafe's Jev is a 'System One' decision model trained with RLCD, claiming 20-200x faster and 40-400x cheaper classification and routing than frontier LLMs with free output tokens and no hallucinated text. Google launched Gemini 3.8 Live and 3.8 Live Extended Thinking, supporting 97 languages and async tool calls, debuting #1 on Artificial Analysis' speech-to-speech index at 82.6. Periodic Labs' Neon is a ~1T-parameter XRD analysis model trained with RL on proprietary lab data using 1,300 H200s, lifting FrontierXRD success from 2.7% to 55.3% and beating GPT-6 Astra at lower inference cost.

Latent Space · 21h agoModel release1

12 Best Kubernetes Security Tools Compared (2026): Features & Pricing

GBHackers compares 12 Kubernetes security vendors including Sysdig, Wiz, Aqua, and Cisco Isovalent on features, pricing units, and procurement strategy.

GBHackers publishes a 2026 buying guide comparing 12 Kubernetes security vendors including Sysdig, Wiz, Aqua Security, SUSE NeuVector, Snyk, Cisco Isovalent, Palo Alto Networks, Fairwinds, Red Hat ACS, and Tigera. It argues CNCF-grade open source (Kubescape, Falco, Trivy, Calico, Cilium/Tetragon) provides free posture, runtime, and network policy coverage that resets price negotiations. Cisco's acquisition of Isovalent places the eBPF data plane under a networking giant, while the paid market focuses on multi-cluster policy, enforcement, and support. The piece emphasizes that pricing units (workload, node, cluster, developer, credits) heavily influence contract costs.

GBHackers · 22h agoTools 5 sources

LLMs are real, AI is fake

Cory Doctorow argues the OpenAI chatbot 'hacking' of Hugging Face was a Python-scripted CTF loop, not autonomous AI.

In an opinion essay, Cory Doctorow debunks reports that OpenAI chatbots autonomously hacked Hugging Face servers during an 'Exploit Gym' capture-the-flag challenge. He explains the chatbot merely acts as a front-end queried by a Python program that replays commands drawn from CTF training data. He argues sensational 'AI went rogue' narratives are amplified by technical press and help AI companies raise investment capital.