Rapid7 researchers identified an exposed web directory on infrastructure used to support a cryptocurrency fraud operation. The server contained raw phone-number datasets, account-validation tools, enriched lead records, phishing panels, voice-dialing scripts, fake wallet applications, persistence mechanisms, and Telegram exfiltration code. Among the artifacts was evidence that the operator relied on AI coding assistants throughout the campaign’s development; recovered prompts, shell history, and project files show AI being used to package Electron applications, obfuscate code, troubleshoot builds, modify phishing infrastructure, and prepare malware for distribution. When one model began resisting parts of that workflow, the operator switched providers and attempted to bypass the next model’s safety controls with a custom jailbreak prompt. Together, these artifacts provide an unusual view into how AI was integrated into the development of an active phishing operation rather than simply being used to generate isolated snippets of code.
Read more…
Source: Rapid7 News
Sign up for the Cyber Security Review Newsletter
The latest cyber security news and insights delivered right to your inbox
Related:
- Two major security flaws are affecting more than six million WordPress websites
September 7, 2026
More than six million WordPress users are at risk of website takeover, researchers have claimed after discovering two major vulnerabilities being exploited in the wild. Security researchers Wordfence disclosed finding two flaws, one in Elementor Pro, and one in Super Forms – two popular WordPress plugins. Elementor Pro is a commercial plugin that allows users to build websites using ...
- More than 1 million users affected in Mathspace data breach across Australia and New Zealand
September 7, 2026
More than a million people, including students, school staff, and parents, have been affected following a data breach at Mathspace, according to the learning provider. The company said, in a blog post, “unauthorised parties had accessed an internal reporting system used by Mathspace” and the exposed information included names and email addresses. It said the attackers accessed ...
- G7 tells businesses to get ready for quantum cybersecurity threats
September 7, 2026
The G7, a collection of some of the world’s most powerful economies, is urging organizations to adopt quantum-resistant encryption as soon as possible and minimize the risk of losing sensitive data to technologically advanced threat actors. Virtually every industry in the world today relies on encryption (the process of converting readable data into scrambled, unreadable data ...
- Dissecting a PHP web server rootkit
September 7, 2026
SophosLabs recently acquired a Linux implant associated with compromised BIG-IP Access Policy Management (APM) environments that use Apache and PHP components. The malware demonstrates advanced techniques including custom ELF loading, function hooking, and runtime code patching to evade detection while maintaining persistent access through hidden web shells. The implant delivers a familiar outcome – on-demand server‑side ...
- Ransomware hackers dump 1.4 million stolen records from German government
September 7, 2026
A cybercriminal group known as Rhysida allegedly broke into the network of Berlin’s state government and exfiltrated 1.44 million files. They then tried to extort the government entity for money and when that failed, they leaked it all into the dark web. According to multiple sources, the group first claimed responsibility for the attack on an ...
- LG TV flaws could let attackers listen in, even in standby mode
September 7, 2026
Smart TVs are internet-connected computers with microphones, app stores, advertising systems, and access to the same home networks used by your family’s phones, laptops, printers, and smart-home devices. In the past, we reported on Samsung settling a lawsuit with the Texas Attorney General over how its smart TVs collect and monetize viewing data using Automated Content Recognition (ACR). ACR technology samples what appears ...
