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Parallels Desktop Flaw Lets Non-Admin Mac Users Gain Root, but Intel Macs Can't Install Fix

JFrog disclosed CVE-2026-90894, a 7.8-rated local privilege escalation in Parallels Desktop for Mac, patched only in version 27, which Intel Macs cannot install.

JFrog researcher Yuval Moravchick disclosed CVE-2026-90894 (dubbed ParaShells, CVSS 7.8), a local privilege escalation in Parallels Desktop for Mac that lets non-admin users run code as root. The root-level prl_disp_service listens on a world-writable socket, and argument injection into a tar command via QProcess::splitCommand and the --use-compress-program option yields code execution as root, demonstrated on Parallels Desktop 26.4.0 build 57513 on Apple silicon. The fix appears in version 27.0.0, but Parallels Desktop 27 requires Apple silicon, leaving Intel Macs on the 26.x line with no build JFrog describes as fixed. No exploitation in the wild has been reported and Parallels has not published a statement.

The Hacker News · 4h agoVulnerability 4 sourcesCVE-2026-90894

Hackers Got Inside a Flock Camera. Its Data Shows How the System Really Works

Hackers stole a Flock Safety camera, copied its storage, and recovered an encryption key exposing vehicle surveillance data and system internals.

Hackers from the collective stegan0gram removed a Flock Safety license plate reader from a roadway, copied its storage, and recovered an encryption key stored in an unencrypted partition, unlocking videos of thousands of vehicle detections. The data, shared with 404 Media, WIRED, and Distributed Denial of Secrets, shows the camera generated roughly 1.6 million images of about 50,200 vehicles over 21 days and detects people, bicycles, and bumper stickers in addition to license plates. The dump follows 2025 research by Jon 'GainSec' Gaines documenting flaws enabling root access, which Flock downplayed. Flock's national network makes camera records searchable by more than 2,000 agencies, fueling controversy over police and immigration lookups.

WIRED · Security · 7h agoData breach in the wild 2 sources

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 · 2h agoPhishing & fraud in the wild