ZeroHour

Search: “adversarial attacks”

13,438 stories

Cybersecurity jobs available right now: February 10, 2026

Help Net Security's roundup lists open cybersecurity roles at KPMG, Pentera, Google, Group-IB and others across multiple countries.

A job-board roundup featuring Cloud Security Engineer at KPMG (Israel), Cloud Security Researcher at Pentera (Israel), Cyber Defence Senior Analyst at Google (UK), and Cyber Investigation Specialist at Group-IB (UAE). Additional listings cover SOC operations, penetration testing, network architecture, OT/IT convergence and AI/ML security testing across Australia, Italy, the US, India, France, Ireland and the UAE. All listings are marked no longer accepting applications.

Help Net Security · 21d agoIndustry

New AI Workflow Identity Hijacking Attack Lets Hackers Exfiltrate Sensitive Data

Noma Labs disclosed Workflow Identity Hijacking, an AI automation flaw letting anonymous users trigger privileged data exfiltration without prompt injection or stolen credentials.

Noma Labs researcher Sasi Levi described Workflow Identity Hijacking, where AI workflows process untrusted input from low-privileged or anonymous users but execute downstream actions with the workflow creator's elevated permissions, turning the pipeline into an unauthenticated proxy. Unlike prompt injection, the model is not tricked; the flaw is a missing authorization check between the requester and the privileged actions. Noma Labs also disclosed and helped fix a similar issue in Google Workflows, and linked the problem to the earlier GitLost research on GitHub Agentic Workflows. Recommended mitigations include per-user identity propagation, least-privilege service accounts and authorization checks before every downstream action.

GBHackers · 6d agoAI safety & security

Scalable Composition of Byzantine Agreements under Reorder Attacks

Researchers present the first adversary model combining party corruption with channel reordering attacks, establishing tight security thresholds for composed Byzantine agreement protocols.

The paper presents the first adversary model combining party corruption with adversarial channel attacks that reorder messages across multiple Byzantine agreement executions. It proves impossibility results for authenticated BA under parallel composition when n ≤ 3t or n ≤ 2c + 2t + 1, with matching possibility results when n > max{3t, 2c + 2t + 1}. The authors provide general black-box compilers plus erasure-correcting-code variants that achieve constant multiplicative communication overhead for long messages.

arXiv cs.CR · 7d agoResearch

Robust Policy Optimization via Adversarial Importance Sampling

Adversarial Importance Sampling estimates worst-case RL returns without extra interactions; authors also release the advrl PyTorch library.

The paper introduces Advis, which uses importance sampling over trajectories from standard training to estimate and optimize verifiable worst-case returns, requiring no additional environment interactions or auxiliary networks. It also releases advrl, a modular PyTorch library of single-file robustness methods and adversarial attacks for reproducible evaluation. The authors show adversarial hyperparameters do not transfer across agents, so they evaluate with 6-14x more attacker configurations than prior work. Effectiveness is demonstrated on continuous control environments.

arXiv cs.AI / cs.LG / cs.CL · 5d agoAI research1