[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fJVizElhLS7Rp-CoFCqHFur2QuCRppLkbVAIejvG8Ucc":3},{"article":4,"iocs":44,"watch_terms":45,"solutions":46,"lesson":77},{"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":26,"category":27,"article_tags":31},"de1639c7-985f-43a6-9f67-3a2d0b511124","Researcher Claims Control of ChatGPT Secure Sandbox","researcher-claims-control-of-chatgpt-secure-sandbox-ac7ffd","A researcher demonstrated a proof-of-concept attack chain that provided C2-style influence over ChatGPT's isolated sandbox during a session at Black Hat USA 2026.","During a Black Hat USA 2026 session, a researcher presented a proof-of-concept demonstrating a way to gain C2-style control over ChatGPT's isolated sandbox environment. This attack chain highlights potential security weaknesses in how AI models are sandboxed and managed during user interactions.","Researcher claims control of ChatGPT's secure sandbox via C2-style influence.","https:\u002F\u002Fwww.darkreading.com\u002Fcloud-security\u002Fresearcher-claims-control-chatgpt-secure-sandbox","https:\u002F\u002Feu-images.contentstack.com\u002Fv3\u002Fassets\u002Fblt6d90778a997de1cd\u002Fbltf9a01e6b265bc8c2\u002F6a74e71b469e8f1b3353e662\u002Fsandbox-diczman-GettyImages-2237058218.jpg?width=720&quality=80&disable=upscale","2026-08-06T20:38:51+00:00","2026-08-06T22:00:10.990981+00:00",7,[17,20,23],{"name":18,"type":19},"ChatGPT","product",{"name":21,"type":22},"sandbox","technology",{"name":24,"type":25},"Black Hat USA 2026","campaign","80544778-fabb-4dcd-aa35-17492e5dcf4f",{"id":26,"icon":28,"name":29,"slug":30},null,"Vulnerabilities","vulnerabilities",[32,34,39],{"category":33},{"id":26,"icon":28,"name":29,"slug":30},{"category":35},{"id":36,"icon":28,"name":37,"slug":38},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",{"category":40},{"id":41,"icon":28,"name":42,"slug":43},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[18],{"controls":47,"vendors":76},[48],{"slug":38,"name":49,"problem":50,"products":51},"AI application security","Prompt injection, data leaks through AI tools and unapproved AI use get caught.",[52,60,68],{"vendor_slug":53,"vendor_name":54,"vendor_logo":55,"product_slug":56,"product_name":57,"url":58,"description":59},"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.",{"vendor_slug":61,"vendor_name":62,"vendor_logo":63,"product_slug":64,"product_name":65,"url":66,"description":67},"hiddenlayer","HiddenLayer","\u002Fvendor-logos\u002Fhiddenlayer.png","hiddenlayer-ai-security","HiddenLayer AI Security Platform","https:\u002F\u002Fhiddenlayer.com\u002F","Model scanning, AI red teaming and runtime protection for AI applications.",{"vendor_slug":69,"vendor_name":70,"vendor_logo":71,"product_slug":72,"product_name":73,"url":74,"description":75},"boomi","Boomi","\u002Fvendor-logos\u002Fboomi.png","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.",[],{"slug":78,"title":79,"body":80,"framework_refs":81,"framework_notes":92},"ai-sandbox-escape-exposes-c2-style-control-risk-in-chatgpt","AI Sandbox Escape Exposes C2-Style Control Risk in ChatGPT","A researcher demonstrated a proof-of-concept attack chain capable of achieving command-and-control (C2)-style access over ChatGPT's isolated sandbox environment, revealing that the trust boundaries assumed to contain AI model interactions may not be as robust as believed. The root cause lies in insufficient sandbox hardening and configuration management — the mechanisms designed to isolate AI execution environments were not adequately validated against adversarial abuse. This matters because AI platforms process sensitive user data at massive scale, and a compromised sandbox could be leveraged to exfiltrate data, pivot laterally, or manipulate AI outputs maliciously. As AI systems become critical infrastructure, security assumptions about their isolation must be tested with the same rigor applied to traditional production systems.",[82,83,84,85,86,87,88,89,90,91],"CIS Control 4 – Secure Configuration of Enterprise Assets and Software","CIS Control 13 – Network Monitoring and Defense","CIS Control 18 – Penetration Testing","NIST SP 800-53 SC-39 (Process Isolation)","NIST SP 800-53 SI-7 (Software, Firmware, and Information Integrity)","NIST SP 800-53 CA-8 (Penetration Testing)","NIST AI RMF – Govern 1.2, Map 2.2 (AI Risk Identification and Containment)","MITRE ATT&CK – T1610 (Deploy Container), T1611 (Escape to Host)","ISO\u002FIEC 27001 – A.12.6 (Technical Vulnerability Management)","OWASP LLM Top 10 – LLM08: Excessive Agency",{}]