Hidden text in a PDF is enough to steal sensitive data through Atlassian's AI agent Rovo

Security firm PromptArmor shows how hidden instructions in a PDF can hijack Atlassian's AI agent Rovo, silently forwarding sensitive data from Jira and Confluence to an external server. The attack needs no user confirmation and leaves no trace. The article Hidden text in a PDF is enough to steal sensitive data through Atlassian's AI agent Rovo appeared first

The top 3

  1. Prompt Injection Attacks Manipulate AI Behavior: Prompt injection is a top AI vulnerability where attackers manipulate user input to trick an AI model into ignoring its intended instructions, potentially leading to data theft, misinformation, or unauthorized actions.
  2. Insecure Output Handling Leads to Downstream Exploits: Improper handling and validation of AI agent outputs can lead to various security exploits, including code execution, cross-site scripting (XSS), and SQL injection, compromising systems and exposing data.
  3. AI Supply Chain Vulnerabilities Pose Hidden Risks: Many AI applications rely on third-party components, open-source models, and external data sources, creating supply chain vulnerabilities that attackers can exploit to inject malicious data, compromise models, or introduce backdoors.

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