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Tag: turned

Zapier exploit chain shows how known anti-patterns compose into critical risk

A five-stage exploit chain disclosed by Token Security researchers turned a free Zapier account into write access on Zapier’s public developer SDK packages and on internal packages that load in every authenticated zapier.com session. Each link in the chain was a known anti-pattern. The composition across five systems was the finding. Zapier triaged the report…

Russian APT Turla builds long-term access tool with Kazuar Botnet evolution

Russia-linked APT group Turla turned its Kazuar malware into a stealthy P2P botnet for long-term access to compromised systems. Russia-linked APT group Turla upgraded its Kazuar backdoor into a modular peer-to-peer botnet designed for stealth and persistent access to infected systems. Microsoft researchers say the malware allows attackers to maintain long-term control while making detection…

How to Scale Phishing Detection in Your SOC: 3 Steps for CISOs

Phishing has quietly turned into one of the hardest enterprise threats to expose early. Instead of crude lures and obvious payloads, modern campaigns rely on trusted infrastructure, legitimate-looking authentication flows, and encrypted traffic that conceals malicious behavior from traditional detection layers. For CISOs, the priority is now clear: scale phishing detection in a way that…

Chrome Extension Turns Malicious After Ownership Transfer, Enabling Code Injection and Data Theft

Two Google Chrome extensions have turned malicious after what appears to be a case of ownership transfer, offering attackers a way to push malware to downstream customers, inject arbitrary code, and harvest sensitive data. The extensions in question, both originally associated with a developer named “akshayanuonline@gmail.com” (BuildMelon), are listed below – QuickLens – Search Screen…

From LinkedIn to tailored attack in 30 minutes

GUEST OPINION:    How AI accelerates target profiling for cybercrime Key takeaways: AI has turned open-source intelligence (OSINT) from a manual effort into an automated pipeline, dramatically lowering the time, cost, and skills required to build target profiles at scale. LinkedIn content (posts, images, and metadata) now functions as machine-readable intelligence that can be enriched, ranked, and operationalised…