[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$foH0bZw-rICk_HiDB5Ted0NxWrIK-76LiaXzDC-oCWxg":3},{"article":4,"iocs":41,"watch_terms":42,"solutions":43,"lesson":71},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":23,"category":24,"article_tags":28},"9e26990f-9995-4760-b09c-3a365d5268ed","Prompt-Injection Bug Hits $4B Agentic AI App 'Manus'","prompt-injection-bug-hits-4b-agentic-ai-app-manus-f8ad8d","AI apps that interpret external data (read: most AI apps) need exceptionally rigorous security filters, or attackers can take advantage.","A critical prompt injection vulnerability has been found in Manus, a popular agentic AI application valued at $4 billion. This flaw allows attackers to manipulate the AI's behavior by injecting malicious prompts, potentially leading to unauthorized data access or actions. The incident highlights the significant security risks associated with AI applications that process external data, emphasizing the need for robust input validation and security filters.","Prompt injection vulnerability discovered in agentic AI app Manus.","https:\u002F\u002Fwww.darkreading.com\u002Fapplication-security\u002Fprompt-injection-bug-agentic-ai-app-manus","https:\u002F\u002Feu-images.contentstack.com\u002Fv3\u002Fassets\u002Fblt6d90778a997de1cd\u002Fblt6cc4d4a12e6b7c68\u002F6ab0590fdb2c1e1226ff0b0f\u002FHand_snap-Viktar_Sarkisian-Getty.jpg?width=720&quality=80&disable=upscale","2026-09-24T13:00:00+00:00","2026-09-24T14:00:15.946858+00:00",7,[17,20],{"name":18,"type":19},"Manus","product",{"name":21,"type":22},"AI","technology","80544778-fabb-4dcd-aa35-17492e5dcf4f",{"id":23,"icon":25,"name":26,"slug":27},null,"Vulnerabilities","vulnerabilities",[29,34,36],{"category":30},{"id":31,"icon":25,"name":32,"slug":33},"2e06f76c-d5b9-4f54-9eef-4d3447b10730","Breaches","breaches",{"category":35},{"id":23,"icon":25,"name":26,"slug":27},{"category":37},{"id":38,"icon":25,"name":39,"slug":40},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",[],[18],{"controls":44,"vendors":70},[45],{"slug":40,"name":46,"problem":47,"products":48},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[49,57,62],{"vendor_slug":50,"vendor_name":51,"vendor_logo":52,"product_slug":53,"product_name":54,"url":55,"description":56},"boomi","Boomi","\u002Fvendor-logos\u002Fboomi.png","boomi-ai-gateway","Boomi AI Gateway","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fai-gateway\u002F","Gateway for AI model and MCP tool traffic, built on Lunar.dev technology. It limits which tools each agent can call. Its enterprise version adds an approval step for new MCP servers and logs each call with the user or agent behind it.",{"vendor_slug":50,"vendor_name":51,"vendor_logo":52,"product_slug":58,"product_name":59,"url":60,"description":61},"boomi-agentstudio","Boomi Agentstudio","https:\u002F\u002Fboomi.com\u002Fplatform\u002Fagentstudio\u002F","Agent builder whose Agent Control Tower registers and monitors Boomi agents and agents on Amazon Bedrock, Microsoft Copilot and other platforms, keeps audit logs and can switch agents off where the provider allows it.",{"vendor_slug":63,"vendor_name":64,"vendor_logo":65,"product_slug":66,"product_name":67,"url":68,"description":69},"palo-alto-networks","Palo Alto Networks","\u002Fvendor-logos\u002Fpalo-alto-networks.png","prisma-airs","Prisma AIRS","https:\u002F\u002Fwww.paloaltonetworks.com\u002Fai-security\u002Fprisma-airs","Security for AI applications, models and agents, including runtime protection against prompt injection.",[],{"slug":72,"title":73,"body":74,"framework_refs":75,"framework_notes":86},"prompt-injection-flaw-exposes-billion-dollar-ai-agent-manus","Prompt Injection Flaw Exposes Billion-Dollar AI Agent 'Manus'","A critical prompt injection vulnerability in the Manus agentic AI platform demonstrates how AI systems that process untrusted external input can be weaponized to perform unauthorized actions or exfiltrate sensitive data. Unlike traditional software bugs, prompt injection exploits the core mechanism by which AI agents interpret instructions, making it especially dangerous in agentic contexts where the AI can autonomously execute tasks. The $4 billion valuation of Manus underscores that even well-resourced AI companies can ship products with fundamental input-handling flaws. This incident matters because agentic AI systems operate with broad permissions and access, meaning a single injected prompt can cascade into serious real-world consequences such as data theft, privilege escalation, or destructive automated actions.",[76,77,78,79,80,81,82,83,84,85],"NIST AI RMF: GOVERN 1.1, MANAGE 2.2","OWASP LLM Top 10: LLM01 – Prompt Injection","CIS Control 16: Application Software Security","CIS Control 3: Data Protection","NIST SP 800-53: SI-10 (Information Input Validation)","NIST SP 800-53: AC-6 (Least Privilege)","NIST SP 800-53: AU-12 (Audit Record Generation)","GDPR Article 25: Data Protection by Design and by Default","GDPR Article 32: Security of Processing","MITRE ATLAS: AML.T0051 – LLM Prompt Injection",{"CIS Control 3: Data Protection":87,"NIST AI RMF: GOVERN 1.1, MANAGE 2.2":88,"NIST SP 800-53: AC-6 (Least Privilege)":89,"GDPR Article 32: Security of Processing":90,"OWASP LLM Top 10: LLM01 – Prompt Injection":91,"CIS Control 16: Application Software Security":92,"MITRE ATLAS: AML.T0051 – LLM Prompt Injection":93,"NIST SP 800-53: AU-12 (Audit Record Generation)":94,"NIST SP 800-53: SI-10 (Information Input Validation)":95,"GDPR Article 25: Data Protection by Design and by Default":96},"Data protection controls limit what sensitive data an agent can access and exfiltrate if hijacked.","AI risk policies and management controls should require defences and monitoring for prompt injection in agentic platforms like Manus.","Least privilege for AI agents limits the unauthorised actions a prompt injection can trigger.","Appropriate security includes defences against agents leaking personal data after prompt injection.","Prompt injection is the core issue: untrusted external content steered the Manus agent into unauthorised actions.","Secure development practices for AI agents include separating untrusted input from instructions.","This technique describes prompt injection against LLMs, the vulnerability found in Manus.","Logging agent actions provides the evidence to detect and investigate prompt injection.","Treating external content as untrusted input is essential to stop it being interpreted as instructions.","Data protection by design means agents should not be able to disclose data based on untrusted input."]