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Research, tools, and talks for breaking and securing AI agents everywhere

Written by

Avishai Efrat, +12

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What If There Was No Attacker, But Your Database Still Got Deleted?

Jul 6, 2026

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9 min read

What If There Was No Attacker, But Your Database Still Got Deleted?

Monitoring agentic emergent misalignment in the wild - a word of caution and a methodology proposal

Max Fomin

Threat Actors Are Using Ollama's Model Downloader as a Server-Side Weapon

Jul 1, 2026

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4 min read

Threat Actors Are Using Ollama's Model Downloader as a Server-Side Weapon

A closer look at Ollama model-pull SSRF targeted activity in the wild

Avishai Efrat, +1

Threat Actors Are Trying to use LiteLLM's Guardrail Tester to Run Code as Root

Jun 30, 2026

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5 min read

Threat Actors Are Trying to use LiteLLM's Guardrail Tester to Run Code as Root

A closer look at custom-code guardrail sandbox-escape (CVE–2026-40217) activity in the wild

Avishai Efrat, +1

Threat Actors Are Trying to Turn LiteLLM's Connection-Test Into a Key-Exfiltration Channel

Jun 30, 2026

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6 min read

Threat Actors Are Trying to Turn LiteLLM's Connection-Test Into a Key-Exfiltration Channel

A closer look at api_base SSRF (CVE-2024-6587) activity in the wild, and its nested variant

Avishai Efrat, +1

Scanning for AI: Live Campaigns Mapping the Internet's Exposed LLM Backends

Jun 30, 2026

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5 min read

Scanning for AI: Live Campaigns Mapping the Internet's Exposed LLM Backends

Inside mass discovery and model-probing reconnaissance campaigns that are mapping LLM backend servers in the wild

Ayush RoyChowdhury, +1

Bring Your Own Agent: Hijacking Exposed AI Backends to Power Offensive Operations

Jun 30, 2026

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7 min read

Bring Your Own Agent: Hijacking Exposed AI Backends to Power Offensive Operations

Threat actors attempting to hijack Ollama & LiteLLM endpoints to run pentesting agents, tools and web reverse-engineering

Ayush RoyChowdhury, +1

What You Don’t Know Can Hurt You: Why AI Security Research Needs to Move Out of the Lab and Into the Wild

Jun 30, 2026

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5 min read

What You Don’t Know Can Hurt You: Why AI Security Research Needs to Move Out of the Lab and Into the Wild

What we can learn from observing real attacks, made by real adversaries

Ayush RoyChowdhury, +1

Your Model Reads Through Typos. Your Probe Doesn't.

Jun 4, 2026

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10 min read

Your Model Reads Through Typos. Your Probe Doesn't.

The Latent Undertow beneath fluent LLM behavior — and how to fish your activation probe out of it.

Elad David

Catching Prompt Guard Off Guard: Exploiting Overfit in Training Algorithms

Mar 12, 2026

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5 min read

Catching Prompt Guard Off Guard: Exploiting Overfit in Training Algorithms

How understanding the training algorithms used in machine learning models may allow attacker to bypass them entirely

Tomer Wetzler

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What If There Was No Attacker, But Your Database Still Got Deleted?

Threat Actors Are Using Ollama's Model Downloader as a Server-Side Weapon

Threat Actors Are Trying to use LiteLLM's Guardrail Tester to Run Code as Root

Threat Actors Are Trying to Turn LiteLLM's Connection-Test Into a Key-Exfiltration Channel

Scanning for AI: Live Campaigns Mapping the Internet's Exposed LLM Backends

Bring Your Own Agent: Hijacking Exposed AI Backends to Power Offensive Operations

What You Don’t Know Can Hurt You: Why AI Security Research Needs to Move Out of the Lab and Into the Wild

Your Model Reads Through Typos. Your Probe Doesn't.

Catching Prompt Guard Off Guard: Exploiting Overfit in Training Algorithms

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