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Phantom Squatting: LLM Hallucinations in Supply Chain

Phantom Squatting: LLM Hallucinations in Supply Chain

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Palo Alto Unit 42

Unit 42 researchers have documented 'phantom squatting', a novel attack vector where adversaries register domains that LLMs consistently hallucinate when responding to developer queries, intercepting traffic from AI-assisted workflows. Analysis of 913 brands across 685,339 URL queries uncovered 13,229 confirmed malicious URLs and approximately 250,000 unregistered hallucinated domains still available for adversarial pre-registration. A concrete case study reveals a fully operational phishing kit, Montana Empire, built with an AI coding assistant and deployed against a domain Unit 42 had flagged as high-risk 23 days prior.

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.

OpenClaw AI Agent Vulnerable to Phishing, Leaks AWS Credentials

OpenClaw AI Agent Vulnerable to Phishing, Leaks AWS Credentials

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 BleepingComputer

Varonis Threat Labs demonstrated that the OpenClaw open-source AI agent framework is vulnerable to social engineering attacks analogous to those used against human targets, successfully tricking the agent into exfiltrating AWS credentials, database secrets, and CRM exports to attacker-controlled addresses. The research tested two LLMs (Gemini 3.1 Pro and GPT-5.4) across generic and phishing-aware configurations, finding that even the hardened profile did not fully prevent data leakage. These findings highlight that autonomous AI agents with broad tool access and insufficient identity verification represent a significant and largely unaddressed attack surface in enterprise environments.

ChatGPT Markdown Injection Enables Phishing in Web Summarizer

ChatGPT Markdown Injection Enables Phishing in Web Summarizer

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

Permiso Security has disclosed ChatGPhish, a vulnerability in ChatGPT's web summarisation feature that allows attacker-controlled Markdown payloads embedded in third-party pages to render phishing links, spoofed alerts, and QR codes directly within ChatGPT's trusted UI. The attack requires no user interaction beyond asking ChatGPT to summarise a malicious page, and can exfiltrate IP addresses, User-Agent strings, and Referer headers via auto-fetched remote images. The technique significantly expands the phishing attack surface beyond email into everyday AI-assisted browsing workflows, posing a particular risk in enterprise environments.

ChatGPT Sharing Links Abused for Malware Delivery

ChatGPT Sharing Links Abused for Malware Delivery

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 BleepingComputer

Threat actors are exploiting ChatGPT's legitimate content-sharing infrastructure to host convincing fake outage pages that trick users into downloading malware disguised as a ChatGPT desktop application. The 'LLMShare' campaign abuses chatgpt.com/s/ shared links to render attacker-crafted HTML within a trusted OpenAI domain, bypassing traditional phishing detection that relies on suspicious URL analysis. The attack chain combines Google ad abuse, domain cloaking, and AI platform misuse to deliver what are likely infostealer payloads.

Model Extraction Attacks Surge: Google GTIG Q4 Report

Model Extraction Attacks Surge: Google GTIG Q4 Report

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Mandiant Blog

Google Threat Intelligence Group's Q4 2025 AI Threat Tracker documents a meaningful escalation in adversarial AI misuse, including a surge in model extraction (distillation) attacks, nation-state operationalisation of LLMs for phishing and reconnaissance, and the emergence of AI-integrated malware families such as HONESTCUE that leverage Gemini's API. While no breakthrough capabilities have been observed from APT actors, the integration of agentic AI for tooling development signals a maturing threat landscape. Defenders should prioritise monitoring for model extraction activity, API abuse, and AI-augmented social engineering campaigns.

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