Prompt-Injection Bug Hits $4B Agentic AI App 'Manus'
Prompt-injection bug in $4B agentic AI app Manus lets attackers manipulate the agent through external data it processes.
Dark Reading reports a prompt-injection vulnerability in Manus, the agentic AI application valued at $4 billion. The flaw stems from insufficient security filtering of external data the app interprets, allowing attackers to inject malicious instructions that hijack agent behavior. The report highlights that most AI apps consuming external content face this same attack surface.
- Prompt-injection bug disclosed in agentic AI app Manus, valued at $4 billion
- Attackers can feed malicious instructions via external data interpreted by the agent
- Issue underscores that AI apps ingesting external data need rigorous security filtering
- Organizations
- ManusDark Reading
From the original article
AI apps that interpret external data (read: most AI apps) need exceptionally rigorous security filters, or attackers can take advantage.
By Nate Nelson · darkreading.com
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