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FIRST LOOK Check Point Launches Dangerous Deviation Detection for AI Agents // HIGH CERT-In: AI Agents Breached Indian Orgs via Exposed Credentials // FIRST LOOK AWS Launches Trust in Depth Controls for Autonomous AI Agents // FIRST LOOK Anthropic Opens Employee-Level Access to METR Safety Researchers // FIRST LOOK Apate Launches AI Agents That Infiltrate Scam Networks for Intelligence // HIGH OpenAI Engineer Used Chatbot to Plan Covert Bug Planting // HIGH OpenAI Engineer Arrested for Planting Hidden Spy Device // FIRST LOOK Laplace Intelligence Launches AI Red-Teaming for Robots and AVs // FIRST LOOK AWS Launches AgentCore Payments with Anchor Browser for AI Agents // MEDIUM OpenAI Lean Proof Mistranslation Exposes AI Verification Risk //
Iran Used ChatGPT to Plant Fake Articles in US Publications

Iran Used ChatGPT to Plant Fake Articles in US Publications

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 OpenAI (via HN)

An Iranian influence operation leveraged ChatGPT to generate disinformation articles that were successfully planted inside legitimate U.S. news publications, according to an OpenAI disclosure. The campaign demonstrates how state-sponsored actors are operationalising large language models to scale credible-looking propaganda at reduced cost and effort. This represents a meaningful escalation in AI-assisted information warfare targeting Western media ecosystems.

AI Chatbots Poisoned via Web Seeding in Disinformation Campaign

AI Chatbots Poisoned via Web Seeding in Disinformation Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

Threat actors are actively manipulating AI chatbots including ChatGPT, Gemini, and Google AI Overviews by seeding the web with malicious links and optimised content designed to corrupt AI-generated answers. The campaign combines disinformation and phishing objectives, exploiting how large language models and retrieval-augmented systems ingest and surface web content. This represents a scalable, infrastructure-level attack on public trust in AI-assisted information retrieval.

Claude Used to Breach OpenAI Employee Account via Forum Flaw

Claude Used to Breach OpenAI Employee Account via Forum Flaw

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Ars Technica Security

Security researchers from Hacktron AI leveraged Anthropic's Claude to compromise an OpenAI employee's ChatGPT account through a vulnerability in OpenAI's Discourse-hosted community forum, gaining access to internal GitHub repositories. The attack chain — forum misconfiguration to internal SSO to privileged account — demonstrates how AI tooling can accelerate offensive security work against AI infrastructure. The incident also coincides with Anthropic disclosing that AI now leads 26% of its own R&D, raising broader concerns about recursive capability growth outpacing security controls.

Heap Overflow and SSO Flaw Let Hackers Access OpenAI Repos

Heap Overflow and SSO Flaw Let Hackers Access OpenAI Repos

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.5 OpenAI (via HN)

Researchers from HacktronAI chained a heap buffer overflow in libheif (via ImageMagick on Discourse) with an OpenAI SSO misconfiguration to achieve RCE on community.openai.com, ultimately gaining access to employee ChatGPT and Codex accounts. With those compromised accounts, attackers could pivot to OpenAI's internal GitHub monorepo and connected services including Slack and email. The full exploit chain was discovered and disclosed responsibly within 72 hours, earning a $6,500 bug bounty.

ChatGPT Cross-Account Data Leakage via Sandbox Channel

ChatGPT Cross-Account Data Leakage via Sandbox Channel

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Check Point Research

Check Point Research uncovered a covert cross-account communication channel in ChatGPT's code-execution sandbox that allowed an attacker to hijack a victim's session and exfiltrate data from connected services such as Gmail. The attack exploited a shared internal package delivery service reachable by containers belonging to different user accounts, bypassing inter-container isolation. The channel could be triggered silently via malicious prompts, shared conversations, or custom GPTs without appearing in the victim's visible response.

ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel

ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.2 The Hacker News

Check Point Research demonstrated a prompt injection attack against ChatGPT that allowed a hidden instruction to silently read a victim's connected Gmail data and exfiltrate it to an attacker-controlled account through an internal inter-container service. The attack exploited ChatGPT's agentic tool-use defaults, which permit reading connected apps without user confirmation under the 'Important actions' permission model. OpenAI has since taken the internal service used as the covert channel offline, but the underlying permission design and injection vectors remain a structural concern.

LLM-Assisted Intrusions Hit Latin American Orgs via NextChat

LLM-Assisted Intrusions Hit Latin American Orgs via NextChat

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Palo Alto Unit 42

Unit 42 has identified two active intrusion campaigns targeting Latin American organisations in the transportation and financial sectors, with threat actors demonstrably leveraging commercial LLMs — including self-hosted NextChat instances — to orchestrate and refine attack execution. The campaigns share overlapping SOCKS5 relay infrastructure and exhibit iterative, AI-assisted scripting behaviour, suggesting independent but parallel adoption of LLM tooling by distinct threat groups. This represents a concrete operational example of adversaries using AI to lower the skill floor for multi-stage network intrusion and data exfiltration.

ChatGPT Abused by Cambodia Scam Network for Social Engineering

ChatGPT Abused by Cambodia Scam Network for Social Engineering

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Schneier on Security

OpenAI disrupted a Cambodia-based criminal network that weaponised ChatGPT to run multi-vector social engineering scams at scale, including romance fraud, fake investment schemes, gambling platform impersonation, and law enforcement extortion. The operation demonstrates how LLMs dramatically lower the barrier to producing convincing fraudulent personas, forged documents, and sustained deceptive conversations. This case illustrates a maturing threat model where commercial AI services are operationalised as force multipliers for organised cybercrime.

Claude and ChatGPT Hijacked via Zero-Click Prompt Injection

Claude and ChatGPT Hijacked via Zero-Click Prompt Injection

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.0 SecurityWeek

Zenity researchers disclosed a zero-click attack chain capable of hijacking Claude and ChatGPT's agentic browser capabilities through malicious content embedded in emails and X posts. The vulnerabilities, reported to Anthropic and OpenAI in late 2025 and early 2026, remain unpatched as of publication. This represents a significant escalation in prompt injection risk, as no user interaction is required to trigger malicious AI agent behaviour.

ChatGPT Sandbox C2 Attack Demonstrated at Black Hat 2026

ChatGPT Sandbox C2 Attack Demonstrated at Black Hat 2026

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Dark Reading

A researcher at Black Hat USA 2026 demonstrated a proof-of-concept attack chain enabling command-and-control-style influence over ChatGPT's isolated execution sandbox. The technique represents a significant escalation in LLM exploit sophistication, moving beyond prompt manipulation toward infrastructure-level session control. If reproducible at scale, this class of attack could undermine the isolation guarantees that underpin safe AI code execution environments.

AgentForger Flaw Lets Attackers Plant Invisible AI Agents in Orgs

AgentForger Flaw Lets Attackers Plant Invisible AI Agents in Orgs

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.0 SecurityWeek

A newly patched vulnerability in OpenAI's ChatGPT agent infrastructure, dubbed AgentForger, allowed attackers to create, insert, and remotely control invisible autonomous AI agents inside victim organisations. The flaw represents a serious escalation in agentic AI risk, enabling adversaries to operate as a trusted AI insider without detection. OpenAI has issued a fix, but the technique highlights systemic risks in deploying autonomous AI agent frameworks within enterprise environments.

OpenAI Expands ChatGPT Into Family and Caregiver Households

OpenAI Expands ChatGPT Into Family and Caregiver Households

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 TechCrunch AI

OpenAI is building dedicated family-oriented product experiences for ChatGPT, targeting parents, caregivers, and older adults as adoption among users aged 35 and older accelerates. This household expansion introduces a high-value, trust-sensitive attack surface where vulnerable populations — including minors and elderly users — interact with AI systems that were not originally designed with their safety profiles in mind. Security teams and child-safety advocates should anticipate increased adversarial interest in manipulating family-mode guardrails, extracting parental oversight credentials, and exploiting the trust asymmetry between caregivers and AI-mediated household experiences.

OpenAI Workspace Phishing via Fraudulent Tenant Registration

OpenAI Workspace Phishing via Fraudulent Tenant Registration

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 BleepingComputer

Threat actors are registering fraudulent OpenAI tenants impersonating legitimate companies and inviting employees to join them, in a campaign dubbed 'Poisoned Tenant' by Push Security. The attack exploits OpenAI's legitimate invitation infrastructure, making phishing emails appear authentic as they pass all email authentication checks. The goal appears to be tricking employees into submitting sensitive corporate information via ChatGPT chats and projects within the attacker-controlled workspace.

OpenAI's ChatGPT Image Generation Fails Content Moderation

OpenAI's ChatGPT Image Generation Fails Content Moderation

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 OpenAI (via HN)

Mindgard researchers demonstrated that ChatGPT's image generation pipeline can be manipulated through an indirect, socially-engineered prompt to produce violent and sexually explicit content without users directly requesting it, exposing a significant failure in OpenAI's content moderation controls. Defenders and enterprise operators of ChatGPT-integrated products face a newly validated attack class where innocuous-looking prompt patterns — potentially spreading virally — can systematically strip safety guardrails from image generation. This finding signals that content filter bypasses in multimodal systems are reproducible at scale, raising urgent questions about the adequacy of output-layer filtering as a sole defence mechanism.

OpenAI Ships GPT-5.5 Instant with Health Intelligence

OpenAI Ships GPT-5.5 Instant with Health Intelligence

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.8 OpenAI Blog

OpenAI has upgraded ChatGPT's health and wellness response capabilities via GPT-5.5 Instant, incorporating stronger reasoning, physician-informed evaluations, and improved contextual understanding for medical queries. This expansion into high-stakes health guidance raises meaningful concerns for defenders, as improved fluency and authority in medical responses increases the risk of user overreliance and lowers the perceived threshold for trusting AI-generated health advice. Security and trust-safety teams should evaluate how this capability interacts with prompt injection, social engineering chains, and the broader risk of AI-mediated medical misinformation at scale.

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