Aya Spira

Aya Spira

MSc student, Tel Aviv University

I'm an MSc student in Computer Science at Tel Aviv University, advised by Prof. Avishai Wool and Dr. Ben Nassi. I've been working on the security of LLMs and AI agents since 2024. In my MSc I focus on tool use, hallucinated resources, untrusted external inputs, and black-box evaluation of agent behavior.

Research

Beware of Agentic Botnets: Scalable Untargeted Promptware Attacks via Universal and Transferable Adversarial HalluSquatting

Aya Spira, Stav Cohen, Elad Feldman, Ron Bitton, Avishai Wool, Ben Nassi
arXiv preprint, 2026

LLMs and coding agents hallucinate resource identifiers, and many of those hallucinations are predictable. We studied them across models and production coding agents, and showed how an attacker can use them for AI supply-chain attacks.

Code:

Background

Education

  • Oct 2025 – nowM.Sc. Computer Science, Tel Aviv UniversityAdvisors: Prof. Avishai Wool and Dr. Ben Nassi
  • Mar 2021 – Dec 2024B.Sc. Computer Science, TechnionMagna cum laude.Exchange semester at TUM, Summer 2023.CS Faculty Student Council, 2022–2024: Head of Staffing; Deputy Head of Events.

Experience

  • Oct 2025 – nowGraduate Researcher, Tel Aviv UniversityResearch on the security of AI agents, focusing on tool use, hallucinated resources, untrusted external inputs, and black-box evaluation of agent behavior.
  • Jan 2024 – Dec 2025Research Scientist, IBM Research IsraelData Security and Privacy group. I studied security and privacy vulnerabilities in large language models (LLMs). My work involved designing and simulating attack strategies and developing tools for empirical evaluation. I also applied AI techniques to security problems, including managing access control in a vector DB project and automating access request approval using agentic systems.
  • Oct 2022 – Apr 2023R&D Intern, PTCDeveloped features for a production 3D CAD system in C/C++, including components of its web layer in JavaScript and Three.js.

Other projects

  • 2024Visually Guided Object Insertion into ImagesBachelor's project, Geometric Image Processing Lab, Technion. I built a dataset and trained a diffusion model for reference-guided object insertion, extending Paint by Inpaint (CVPR 2025). Finalist in the Faculty Excellent Projects Competition, 2025.