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3 stories in the last 24h

When scanners miss the attack: how Cloudflare Client-Side Security protects storefronts

Cloudflare's Page Shield ML uncovered four malicious JavaScript campaigns on storefronts, including affiliate fraud and a remote-backdoor script, that VirusTotal and URLScan missed.

Cloudflare's Page Shield ML detected four client-side JavaScript operations (eight payloads) in live traffic on online storefronts, enabling affiliate commission hijacking, clickless affiliate theft via hidden iframes, user tracking with a remote-code backdoor, and cloaking of paid mobile visitors. Seven of the eight payloads were absent from VirusTotal and URLScan returned no malicious verdict for any, including a Lnkr-family payload indexed unclassified for roughly 2.5 years. Detection relies on a graph neural network over JavaScript syntax trees, an LLM second opinion on Workers AI, and a frontier-model ensemble voting across benign, magecart, other malware, and cryptomining labels.

Cloudflare Blog · 10h agoMalware in the wild

NightEagle Hackers Target Russian Companies Using GhostContainer Backdoor

Kaspersky links NightEagle (APT-Q-95) intrusions in Russia to stolen VPN credentials, the GhostContainer Exchange backdoor, BlueKeep exploitation, and covert tunneling for espionage.

Kaspersky's Global Emergency Response Team attributes new intrusions against Russian companies to NightEagle (APT-Q-95), active since at least 2023 and previously focused on Asian organizations. The group uses valid VPN credentials, deploys the .NET-based GhostContainer backdoor on Microsoft Exchange servers, and tunnels RDP via Microsoft Dev Tunnels and rdp2tcp. In one incident operators exploited BlueKeep (CVE-2019-0708) to create an administrator account, and they performed DCSync replication against Active Directory to harvest domain password hashes. GhostContainer reuses code from Neo-reGeorg, ExchangeCmdPy.py (CVE-2020-0688), and ysoserial, and tampers with AMSI and Windows event logging to evade detection.

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 · 16h agoPhishing & fraud in the wild