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“Any attack vector that can reach a significant number of targets, or a number of significant targets is of interest to threat actors,” Casey Bisson, head of product and developer enablement at code-security firm BluBracket, wrote in an email to Threatpost. This broad attack surface has not gone unnoticed by threat actors, who increasingly are targeting open-source repositories to hide malware that can lurk unsuspected across multiple platforms.

#TARGET CROSSHAIRS SOFTWARE#

“Many people assumed that software created by a vendor was entirely authored by that vendor, but in reality there could be hundreds of third-party libraries making up even the simplest software,” observed Tim Mackey, principal security strategist at the Synopsys Cybersecurity Research Center, in an email to Threatpost. This was made abundantly clear with the now infamous Log4Shell debacle, when a zero-day flaw in the ubiquitous Java logging library Apache Log4j used by countless web apps threatened to break the internet. Indeed, attacking open-source repositories can be an unusually stealthy way for threat actors to target scores of apps and users in one fell swoop.

#TARGET CROSSHAIRS CODE#

The repository poses a significant supply-chain given that if it’s corrupted, the malicious code is then propagated in any app using it and thus can be used to attack those app’s myriad users. The npm repository is an open-source home for JavaScript developers to share and reuse code blocks that then can be reused to build various web applications. “Collected information is also uploaded to the remote endpoint whose address is hard-coded.” Npm As Supply-Chain Threat “It detects when a user logs in, changes email or password, enables/disables multi-factor authentication (MFA) and adds new payment methods, including complete bank card details,” researchers Igor Kuznetsov and Leonid Bezvershenko wrote. The Python code turned out to be a modified version of the open-source token logger Volt Stealer, while the novel JavaScript malware–dubbed “LofyStealer”–was created to infect Discord client files so threat actors can monitor the victim’s actions, researchers said. Researchers were monitoring open-source repositories on Tuesday when they noticed suspicious activity in the form of four packages containing “highly obfuscated malicious Python and JavaScript code” in the npm repository, they wrote in the post. The campaign, dubbed LofyLife, is aimed at stealing Discord tokens as well as victims’ IP addresses from infected machines, they said in a blog post on Secure List published Thursday. The authors have declared no competing interest.Threat actors once again are using the node package manager (npm) repository to hide malware that can steal Discord tokens to monitor user sessions and steal data on the popular chat and collaboration platform, researchers have found.Ī campaign discovered this week by Kaspersky researchers is hiding an open-source token logger alongside a novel JavaScript malware in npm packages.

#TARGET CROSSHAIRS SERIES#

This workflow is demonstrated by targeting regions of interest in a series of Platynereis dumerilii samples. This is provided as an open-source Fiji plugin called Crosshair.

We also developed a user-friendly software to convert X-ray images of resin-embedded samples into angles and cutting depths for the ultramicrotome. We adapted two recent commercial systems to add motors for each rotational axis (and also each translational axis for one system), allowing precise and automated movement. Here, we have developed a semi-automated workflow for targeting with a modified ultramicrotome.

#TARGET CROSSHAIRS MANUAL#

This is a difficult and labour-intensive process, requiring manual positioning of the diamond knife and sample, and much time and training to master. For resin-embedded samples, one solution is to selectively target smaller regions of interest by trimming with an ultramicrotome. In order to compare the ultrastructure of a number of individuals or conditions, acquisition times must therefore be reduced. Volume electron microscopy (EM) is a time consuming process - often requiring weeks or months of continuous acquisition for large samples.

Target crosshairs