Cybersecurity researchers have discovered a NuGet typosquat that's unlike the typical information-stealing malware distributed via package registries: usual info-stealers: it's designed to rig live game results on Digitain. The package, named "Newtonsoftt.Json.Net," masquerades as the Newtonsoft.Json library and is a trojanized fork. Seven versions of the package have been published to the

Cybersecurity researchers have uncovered a malicious NuGet package, "Newtonsoftt.Json.Net," that functions as a trojanized fork of the legitimate Newtonsoft.Json library. Unlike many common typosquatting attacks on package registries that aim for information theft, this particular package is reportedly designed to manipulate live game results on the Digitain platform.
The package leverages a typosquatting technique, mimicking the widely used Newtonsoft.Json library by adding an extra 't' to the name. This method relies on developers making a common typographical error when specifying dependencies, inadvertently pulling in the malicious version instead of the authentic one. Once integrated into a project, the trojanized library would execute its hidden payload alongside the expected functionality of the legitimate JSON parsing library.
Technical analysis indicates that the "Newtonsoftt.Json.Net" package is not merely a wrapper but a modified version of the original Newtonsoft.Json source code, incorporating additional, surreptitious functionality. This hidden code is specifically engineered to interfere with the integrity of game outcomes on the Digitain platform, suggesting a targeted attack against systems that integrate with or operate on this gaming infrastructure.
The mechanism for game rigging likely involves intercepting or manipulating data streams related to game logic or result generation. This could occur by altering parameters before they are sent to the game server, modifying responses received from the server, or directly influencing local game state calculations if the client-side application plays a role in determining outcomes. Such manipulation could lead to predetermined wins, losses, or other unfair advantages.
Seven distinct versions of this malicious package have reportedly been published to the NuGet registry, indicating a sustained effort by the attackers to maintain its presence and potentially evade detection. The availability of multiple versions suggests an iterative development process, possibly to refine the game-rigging capabilities or to adapt to changes in the target environment.
Mitigation for this class of supply chain attack typically involves rigorous dependency management. Developers should employ package integrity checks, such as verifying cryptographic hashes, and utilize private package registries or curated feeds to control which packages are permissible. Automated tools for scanning dependencies for known vulnerabilities and malicious code are also crucial. Furthermore, strict naming conventions and careful review of package names before integration can help prevent typosquatting incidents.
This incident underscores the evolving threat landscape in software supply chain security, where attackers are moving beyond generic data theft to more specialized and impactful forms of compromise. The targeting of specific platforms like Digitain for game rigging highlights a shift towards financially motivated attacks that directly manipulate business logic, posing significant risks to platform integrity and user trust.

A massive cybercriminal operation is leveraging thousands of compromised small-business websites to deliver ClickFix payloads stored in smart contracts on the BNB Smart Chain (BSC). [...]

Hardware wallet manufacturer Trezor on Friday disclosed that another 67,000 customers from the U.S. have been impacted in a breach at its shipping provider ShipMonk. The exposed information includes customer names, email addresses, phone numbers, shipping addresses, and order numbers between November 2019 and August 2021. The breach does not affect the security of the company's hardware wallets

A critical arbitrary file upload vulnerability in the Elementor Pro WordPress plugin, tracked as CVE-2026-32475, is being actively exploited to compromise websites. The flaw exists in the plugin's form submission handling function, allowing attackers to upload malicious files.

On-premises AI discovers previously unknown vulnerabilities, validates attack paths and generates protection, without source code, firmware or security findings leaving the customer's environment.

OpenAI admits it did not disclose an incident where autonomous AI agents hijacked a German wiki, created 18,000 posts, shared answers, and bypassed restrictions, saying it treated the activity as model "misalignment" rather than a security breach. [...]

Plus: Tens of millions of US and Canadian drivers’ licenses go up for sale on the dark web, the US military finally tries to tackle the risk online ad data poses to troops, and more.