Beyond Prompt Injection: Breaking AI Agents via Low-Level Host Injections
Event PAST

Beyond Prompt Injection: Breaking AI Agents via Low-Level Host Injections

30 July Online

About this event

🚀 AiSec Eng Spain x Madrid DevOps x HackerDreams x Valkyrias

📅 30/07/2026
🕖 18:00h (CEST) (Comenzaremos Puntal)
📍 Lugar: Online
Idioma de la charla : Inglés

🧠Beyond Prompt Injection: Breaking AI Agents via Low-Level Host Injections (CVE-2026-48710)

THE TALK WILL BE IN ENGLISH
LA CHARLA SERÁ EN INGLÉS

👨‍💻 Speaker

Kfir Gisman

🧾 Bio

Kfir Gisman’s work bridges the gap between deep security research and robust backend engineering. His career is defined by two core pillars: first, his background in security research, having worked as a Cloud Security Researcher at Spectral (a DevSecOps startup acquired by Check Point) where he focused on threat detection and supply chain risks; and second, his hands-on software engineering experience, currently developing secure Python backend architectures for national and EU-funded cybersecurity projects (EU Horizon and INCIBE) at Treelogic. Outside of his day job, Kfir actively contributes to the FastAPI community, hosts the "Code with Mate" software engineering podcast, and writes weekly technical deep-dives on his personal website, kfir-g.dev

📚 Description

While the industry is obsessed with jailbreaks and prompt injections, we are ignoring a massive blind spot: AI agents still run on classic web infrastructure.

In this practical 30-minute session, Kfir Gisman will break down CVE-2026-48710 - a critical vulnerability in Starlette (the backbone of FastAPI and the Python LLM ecosystem) that recently put millions of AI agents at risk.
We will explore the concept of State Divergence and demonstrate live how a single character (?) in the Host header can completely blindfold global middlewares, letting an attacker bypass authentication and hijack privileged endpoints- without writing a single line of prompt.
What you’ll take away:
* Why blindly upgrading dependencies won't fix broken architectural patterns.
* How to shift from mutable wrappers (request.url) to raw ASGI state (request.scope).
* How to implement structural defenses at the API Gateway level to shield your AI infrastructure.
(*) No Python expertise required- this is a universal lesson in application security architecture.

🌐 Comunidad
👉 Únete a Discord:
https://devseccon.io/discordcommunity
📢 Telegram:
https://t.me/hackerdreamsdcomm
https://t.me/hackbcn
https://t.me/+EQXjdGyWYPAotmLG
https://t.me/xopsnoticias
https://t.me/xopshispano
🐦 X (Twitter):
@JR_kneda
@hunters_flag
@hackerdreamsorg
@hackbcn
@xopsconference

🤝 Colaboración y patrocinio

Si tu empresa quiere colaborar o patrocinar futuros eventos:
📩 Email: [email protected]
📝 Formulario: https://forms.gle/JbBwUGY26fAeLqJ78
💸 Donaciones:
https://www.paypal.com/donate/?hosted_button_id=8UHV5UN47J3DY
https://bmc.link/hackerdreams

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.