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CategoryAllExploit / PoC 390Policy & legal 216Ransomware 186Industry 186Malware 172Phishing & fraud 171Vulnerability 169Threat actor 158Data breach 98AI safety & security 67AI industry 66Research 38AI research 29Model release 28
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The sexy AI-powered dating app scams are here

Anthropic exposed a network of roughly 28 AI-driven dating apps using autonomous personas and gig workers to defraud paying users.

Anthropic threat intelligence uncovered a fraud network of around 28 dating apps after a prepaid account sent over 100,000 Claude API requests daily, with most chats run by autonomous AI personas and no human agent. Researchers Matthew Gore-Kormanik and Anthropic's Chris Cronbaugh documented apps including Dora, Romi, and Doni, which monetize conversations via coins; gig workers were hired only to pass liveness checks and select pregenerated replies. An operations manual written in Chinese was found inside the Doni app, and Anthropic published findings in its September 2026 AI misuse report.

The Verge · AI · 10h agoPhishing & fraud in the wild

Unit 42 warns AI has shifted balance of power from defenders to attackers

Unit 42 says agentic AI has shifted attacker advantage, investigating an incident where one attacker exploited 50 enterprise applications in under 10 hours.

Palo Alto Networks Unit 42 leaders said early waves of agentic AI-enabled attacks are breaking in the wild and that frontier model capabilities have shifted the balance of power from defenders to attackers. The team is actively investigating an attack on a customer where an attacker used an agentic framework to exploit 50 applications and other weaknesses across the enterprise in less than 10 hours, work they estimate would have taken at least 10 days pre-AI. Unit 42 says AI already touches the entire attack chain, including malware development, social engineering, and ransomware negotiations. The warning follows April's Project Glasswing initiative formed with Anthropic around its Mythos model.

CyberScoop · 20d agoAI safety & security in the wild1

Identifying a BOLA Vulnerability in Harbor, a Cloud

Unit 42 found a BOLA flaw, CVE-2024-22278 (CVSS 6.4), letting Maintainers improperly alter Harbor project metadata; fixed in versions 2.9.5, 2.10.3, and 2.11.0.

Unit 42 researchers identified a broken object-level authorization flaw, CVE-2024-22278, in Harbor, a CNCF-graduated cloud-native container registry with 1.8 million downloads. The flaw (CVSS 6.4) lets users with the Maintainer role create, update, and delete project metadata, actions reserved for ProjectAdmin, risking data exposure, integrity compromise, and circumvention of vulnerability scanning. Harbor patched the issue in versions 2.9.5, 2.10.3, and 2.11.0. The finding came from Unit 42's automated BOLA detection tool built on generative AI.

Palo Alto Unit 42 · Aug 17, 2026VulnerabilityCVE-2024-22278

China-Based Artificial Intelligence Companies Conducting Industrial-Scale Distillation Campaigns Against U.S. AI Companies

NSA, CISA, and FBI warn DeepSeek, Alibaba, and other Chinese AI firms ran industrial-scale distillation of U.S. frontier models, threatening U.S. AI leadership.

A joint NSA, CISA, and FBI Cybersecurity Advisory (AA26-251A) says China-based firms DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI extracted billions of tokens from U.S. frontier models including Claude, GPT, Gemini, and Grok, likely with Chinese government knowledge. Campaigns running since at least late 2024 used native APIs, cloud providers, third-party aggregators, gray-market proxy "transfer stations", and shared premium subscriptions to bypass geographic restrictions, evade safeguards, and violate providers' terms of use. The agencies recommend detecting anomalous prompts, accounts, and usage patterns; subtly altering responses to suspected distillers; and cross-organization intelligence sharing. They also call DeepSeek's publicly cited $5.6M training cost misleading because it excludes data acquired through distillation.

CISA Advisories · 8d agoAdvisory in the wild1

Inside ‘Project Lily’: The Humans Reading Your ChatGPT Chats

404 Media reveals OpenAI's 'Project Lily' has hundreds of contractors reading real ChatGPT user prompts, exposing sensitive personal data despite privacy filters.

404 Media reports that OpenAI employs hundreds of contractors who read real ChatGPT user prompts, including whole conversations, to rate and critique the chatbot's responses across a user base of over 900 million. Prompts are anonymized and run through OpenAI's Privacy Filter model, but the company acknowledged sensitive personal details can still reach reviewers, and 'user memories summaries' may reveal a user's location and personal context. The review work includes training ChatGPT to be less sycophantic and to stop anthropomorphizing itself, following lawsuits linking the sycophantic 4o model to multiple suicides. Anthropic confirmed it also uses human review to improve its models, and OpenAI's 'improve the model for everyone' data-sharing setting is on by default for free, Plus, and Pro users.

404 Media · 2d agoAI safety & security

Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI

404 Media found Research Gold, advertised as '100% human-written' medical research, is run entirely by AI with fake PhD staff.

Research Gold advertises PRISMA-compliant systematic reviews and meta-analyses drafted by PhD methodologists, but its listed experts are AI-generated personas that do not exist. Real methodologists, including evidence synthesis scientist Jenny Berrio, were listed without permission using photos copied from LinkedIn. Customer calls and quotes were handled by AI agents that insisted they were human, quoting $1,900 for a systematic review.

404 Media · Aug 11, 2026AI safety & security