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Sleuthcon Keynote - How Cybercriminals (ab)use AI

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Sleuthcon Keynote - How Cybercriminals (ab)use AI

This keynote was presented at Sleuthcon DC in June 2026

Okay, okay… I know. You have heard about AI everywhere. You initially laughed at ChatGPT writing poems for you. Maybe you used Claude Code and got amazed by the app it built in minutes. Maybe you use OpenClaw to manage your tasks, or Gemini to draft your emails.

You get my point. AI is everywhere now. We are giving trust to systems that are, by design, untrusted. We are massively increasing the attack surface of technologies powerful enough to make us faster, more productive, and more competitive… while also exposing our assets and most sensitive data to the outside world.

Cybercriminals know that.

They know AI helps them scale faster, automate operations, and make more money. But they also know they can exploit the windows you leave wide open.

In this talk, I don't want to talk about hype. We have heard enough. I want to talk about what is actually happening right now.

How a simple Markdown file can manipulate an AI agent.
How poisoned MCP servers and malicious skills can compromise entire workflows.
How prompt injection becomes a real intrusion vector once an agent has access to tools and actions.
How attackers can abuse your own AI infrastructure to power underground services, leak sensitive data, or execute operations inside trusted environments.

Your AI agent might be the best productivity tool you have ever used… but it might also become the insider threat you invited into your environment.

Through this talk, I want to give you insight into what is already possible, expose current TTPs used against AI systems, and discuss our responsibility as a cybersecurity community to lay the secure foundation of our future AI systems.

The AI apocalypse might not be the one you think.
It will probably not start with robots taking over the world.

It will start with an AI agent reading one malicious Markdown file and your SOC wondering why the database suddenly disappeared.

Avatar for Thomas Roccia

Thomas Roccia

June 26, 2026

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Transcript

  1. ANOTHER AI TALK BUT WE NEED TO TALK ABOUT HOW

    CYBERCRIMINALS ACTUALLY (AB)USE AI. Thomas Roccia / SecurityBreak.io ANOTHER AI TALK
  2. How attackers really use AI Why you should care What

    you can do against How we can shape the industry AGENDA SecurityBreak.io
  3. CAPABILITY 2021 (MANUAL) 2026 (AI/llm) MALWARE Skilled coders required LLMs

    generate scripts & payloads PHISHING Manual personalization AI automates lures at scale IMPERSONATION Text-based BEC & email fraud; low-fidelity Deepfake voice/video from 3 sec audio. And BEC As A Service RECON Manual scanning & social media scraping AI agents auto-map orgs, correlate leaks instantly VULNS Fuzzing & RE AI finds exploit almost autonomously; help to generate PoC exploits EXTORTION Ransomware AI-driven disruption; AI ransom notes boost payment rates + Vibe coded ransom leak “UNDERGROUND” AI SecurityBreak.io
  4. Leak an AWS key on GitHub. Within minutes, it is

    tested against Bedrock. Within hours, it is behind a public reverse-proxy reselling uncensored Claude to other criminals... billed to you! LLMJACKING: WHEN ATTACKERS STEAL YOUR AI BILL SecurityBreak.io https://permiso.io/blog/exploiting-hosted-models
  5. AI SEO POISONING SecurityBreak.io Creating crafted fake support page from

    offical chat gpt https://www.huntress.com/blog/amos-stealer-chatgpt-grok-ai-trust
  6. EVILTOKENS BEC AS A SERVICE SecurityBreak.io Role prompting including templating

    "${tokenObj.email}" and report guidelines Custom scoring to identify if a target is interesting Identification of exploitable payment flow Email thread that could be hijacked including attack scenario suggestion. Identify flaws in payment processes. Potential target user and their payment authority Generation of multiple attack scenario based on previous context gathering https://blog.sekoia.io/eviltokens-an-ai-augmented-phishing-as-a-service-for-automating-bec-fraud-part-2/
  7. Attackers get access to repos They publish backdoored package (npm/pypi)

    Developer / CI runs `install` Install scripts run automatically Payload steals secrets Secrets are sent to attackers Attacker uses stolen creds to publish more backdoored packages More victims install packages → worm spreads through ecosystem Attackers watch projects used by AI developpers SHAI-HULUD SecurityBreak.io https://opensourcemalware.com
  8. 1. Fake AI Packages Published to npm, PyPI, Crates.io 22-package

    of fake security Web3 tooling 2. Poison AI Assistants Plants .cursorrules & CLAUDE.md on dev machines to trick AI into running fake "security scans" 3. PRs to AI Repos Injects poisoned configs via open- source contributions to LangChain, Langflow, etc. We use AI coding agents, we ship faster with less review, and attackers know it. EXPLOITING THE AI ECOSYSTEM SecurityBreak.io Attacker Exfiltrate creds: API Key, SSH, token, Crypto Wallets
  9. In January 2026, OpenClaw emerged as a general agent Its

    ClawHub marketplace grew from 5,700 skills in February to 44,000+ by April. Attackers flooded ClawHub with malicious skills dowloading payloads to harvest credentials THE PUBLIC SKILLS MESS SecurityBreak.io
  10. Moltbook is a the reddit of agents Attackers prompt injected

    posts read by agents to exploit them PROMPTINJECTION VIA MOLTBOOK SecurityBreak.io https://promptintel.novahunting.ai/molt/78ea6b8f-2050-4fc7-b305-91f343b2c92c
  11. Prompts are everywhere in modern AI. And that is exactly

    why they are now the attack surface! SecurityBreak.io
  12. INDICATOR OF PROMPT COMPROMISE (IOPC) SecurityBreak.io IoPCs are patterns or

    artifacts within prompts that indicate potential exploitation, abuse, or misuse of the model. IoPCs facilitate the identification of attacks on AI models and the exploitation of their functionalities for adversarial purposes. Prompt manipulation Abusing legitimate functions Reused or suspicious prompt patterns Abnormal or unexpected model outputs Prompt manipulation, injection attacks, adversarial tokens, and jailbreak attempts. Influence ops, malware, sensitive data extraction, misinformation, social engineering. Prompts that show consistent formatting, repeated phrases, or recurring structures across multiple instances. Potentially revealing hidden exploitation attempts or harmful activities.
  13. NOVA HUNTING SecurityBreak.io The Rule Name specif ies the title

    of your NOVA rule. Meta refers to the section that outlines the metadata associated with your rule. Keywords def ine a strict matching with strings or regex Semantics detects prompts with similar meaning or intent LLM detects deeper intent using model- based understanding of the prompt. Condition def ines the logic that triggers the rule based on matched patterns. www.novahunting.ai
  14. HOW THE COMMUNITY LEVERAGES NOVA SecurityBreak.io Nova Hunting Nova Hunting

    Nova Hunting Nova Hunting AI THREAT HUNTING FOR ADVERSARIAL PROMPTS AND AGENTIC WORKFLOWS AI THREAT HUNTING FOR ADVERSARIAL PROMPTS AND AGENTIC WORKFLOWS AI THREAT HUNTING FOR ADVERSARIAL PROMPTS AND AGENTIC WORKFLOWS AI THREAT HUNTING FOR ADVERSARIAL PROMPTS AND AGENTIC WORKFLOWS Sandyclaw, skills hunting https://sandyclaw.permiso.io/ Skill-Veil https://github.com/seifreed/skill-veil Nova Rule Agent Skills https://github.com/marcopedrinazzi/ nova-rules-helper Threatfeeds to Nova https://github.com/xampla/threatfee ds-to-nova Carapace https://github.com/xampla/carapace DetectionStream https://detectionstream.com/nova Nova to STIX https://www.dogesec.com/blog/mod elling_nova_rules_structured_cti/ www.novahunting.ai
  15. AI accelerates defenders and attackers Attackers exploit agents, MCPs, SKILLs,

    plugins... Code is deployed and created faster than they are reviewed Supply chain is no longer just code. It is agents, tools, prompts, and data TAKE AWAY SecurityBreak.io
  16. THANK YOU contact at SecurityBreak.io Are you deploying AI systems

    and need visibility and monitoring? Reach out!