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Blockchain infrastructure provider Chainstack on Tuesday disclosed that it was targeted in a cyber attack that allowed an unauthorized party to gain access to some parts of its infrastructure. The incident is assessed to be part of a large-scale, artificial intelligence (AI)-powered attack campaign that came to light last week. "An external attacker gained unauthorized access to part of

Customers of the mSecure password manager are being urged to act now to protect the confidential information they store in it, possibly by changing passwords, resetting two-factor authentication (2FA), and removing passkeys. The warning came in an email sent on November 3 in the name of developer mSeven Software. It says the company recently learned of suspicious activity linked to the app but

Barracuda has disclosed details of two vulnerabilities affecting its products that, if chained together, could allow an attacker to bypass authorization controls and gain root access to a susceptible device. The vulnerabilities, a pre-authentication authorization bypass vulnerability and a command injection vulnerability, have been assigned the CVE identifiers CVE-2026-116606 (CVSS score: 9.3)

Binance on Tuesday said the record-setting theft of $6.43 billion in assets from the world's largest cryptocurrency exchange was the culmination of a "sophisticated, multi-stage campaign" that involved the use of a tampered Homebrew installation and recruitment-themed social engineering attack targeting two of its engineers. "It was not a single isolated breach or a simple phishing incident,"

An attacker broke into the update system of the cPGuard security tool on November 2 and used it to send a malicious script to customers' Linux servers. The script installed a backdoor and collected password hashes and other sensitive files from servers that ran it, cPGuard maker OPSSHIELD said in an advisory. The attacker has since taken some of that data. cPGuard 5.88.25 and later versions

Google on Monday warned that threat actors are hijacking enterprise access to Large Language Models (LLMs) to fraudulently leverage expensive computing resources and AI services. The tactic is called LLMjacking, a form of resource hijacking adapted for the LLM era, where an attacker obtains an API key through phishing, source code leaks, misconfigured environments, or exposed client-side code