Researchers have found a never-before-seen piece of macOS malware that combines a series of clever tradecraft to infect Macs with stealthy, custom-developed credential-stealing code.

The malware is delivered in two stages. The first is distributed in a disk image that masquerades as Maccy, a clipboard manager for Macs. It’s compiled as AppleScript that is notable for the way it delivers the second stage. The malware is named PamStealer because the Rust-written infostealer uses the Pluggable Authentication Modules interface built into macOS to validate the target’s login password before sending it to an attacker-controlled server.

A quieter execution chain

The use of both disk image and AppleScript is common in malware for Macs. More unusual is the way PamStealer combines them to gain stealth. When the AppleScript is double-clicked, it’s opened in the macOS Script Editor, where the malicious functionality is buried deep within the file.

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Makers of AI browsers make lofty promises. With a single prompt, users can ask one to find a restaurant in a particular part of town, reserve a table, invite a colleague to lunch, and email a confirmation. These makers are much more reticent about the risks of blurring the once fine line between browsing sites and asking a large language model a question or instructing it to take potentially sensitive actions.

LLM developers’ answer so far has been to build guardrails that make some requests off-limits. Developing software exploits, stealing credentials, or teaching how to build a pipe bomb are examples. The problem with this approach is that the guardrails are reactive and treat the symptoms rather than solve the root cause. It’s tantamount to the manufacturer of an unsafe vehicle advocating for new road designs rather than fixing the flaws that make it prone to accidents.

Lulling LLMs into an alternate reality

New research puts this predicament on sharp display. It demonstrates how a website can lull AI browsers into a false reality where the rules governing its behavior no longer apply. After that, an attacker has free rein to invoke all kinds of destructive actions, such as extracting code from a private repository or extracting credentials from the built-in password manager.

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Federal authorities are offering a reward of up to $10 million for information leading to the identification or location of a Russian state cyber group that has compromised thousands of Signal and WhatsApp accounts belonging to investigative reporters and US government employees.

The operation has been active since at least March, when the FBI published an advisory warning of ongoing phishing campaigns targeting high-value targets by attackers associated with Russian intelligence services. Messages masquerading as automated support communications ask that users click a link or provide verification codes or account passcodes. In the event the user complies, they unknowingly link the attacker's device to their account or have their account completely taken over and are locked out.

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International authorities and a raft of private technology companies say they have disrupted a cybercrime “assembly line” that allowed crooks to collect millions of login credentials and steal more than $47 million in ransom payments and by other fraudulent means.

The crux of the operation was the simultaneous targeting of two unrelated tools that are widely used in various online scams. The first is Amadey, a malware-as-a-service platform for compromising devices and delivering malicious payloads for ransomware and other scams. Amadey has been observed in the wild since at least 2018 and was seen last year abusing GitHub as it collected system information from infected devices and installed customized payloads. The second tool was StealC, an infostealer-as-a-service platform that collects credentials, authentication cookies, cryptocurrency wallets, browser extensions, and files whose names match customer-defined patterns.

Severing a critical link in the cybercrime chain

Amadey and StealC are separate tools that are run independently of each other. Given their widespread use, however, many customers use both in their individual cybercrime activities. The tools also, it turns out, relied on some of the same underlying infrastructure to run. Microsoft said it made this determination after analyzing the tools using AI. This insight allowed Microsoft attorneys to seek an order disrupting both at the same time.

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