GitLab patched CVE-2026–85706, a CVSS 10 path traversal flaw enabling unauthenticated file reads, as in-the-wild probes began.
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Attackers Chain JFrog Artifactory Flaws to Gain Admin Control and Plant Backdoors
Attackers have chained two flaws in JFrog Artifactory, the repository that software build pipelines pull from, to take administrator control of self-hosted servers and plant backdoors, cloud security company Wiz said in a report.
Wiz saw the attacks between August 15 and September 8. JFrog had fixed both flaws before then, so only servers that had not been updated were open to them.
Neither flaw gives administrator control on its own.
Passkey-themed phishing attacks lead to Microsoft 365 data theft
Microsoft says threat actors linked to ShinyHunters, Helix, and other extortion gangs are using passkey and single sign-on-themed social engineering attacks to compromise corporate Microsoft accounts and steal data from Microsoft 365 services.
The activity has been observed since May 2026 and begins with the attackers researching targeted organizations and employees before calling or messaging victims while impersonating corporate IT help desks.
The attackers tell employees that they must urgently update a passkey, multi-factor authentication (MFA), or single sign-on (SSO) configuration to avoid losing access to corporate systems.
New laser-fabricated plasmonic chip accurately identifies and sorts cancer cells
Novel laser-fabricated plasmonic chip combines 185 nm Raman resolution and deep learning to identify and sort cancer cells with 96.2% accuracy.
Accurate and efficient isolation and recovery of interest cells allow detailed analyses of cellular function, growth and culture, and gene-expression profiling of cells within heterogeneous populations. Researchers have developed a novel microfluidic surface-enhanced Raman scattering (SERS) chip capable of performing deep-learning-assisted, label-free single-cell identification and sorting. The results could be used to guide future research on the design and development of non-invasive, efficient cell-sorting techniques with potential applications in clinical diagnostics and precision medicine.
Cell sorting is a basic yet vital procedure in precision biomedicine. Cell sorting separates mixed cells into pure subgroups based on their unique features. Biological tissues and blood contain diverse cell types, and mixed samples blur true cell signals in gene or protein tests. By sorting, researchers can get uniform cells to study cell functions, stem cell development, and disease mechanisms clearly. It also supports drug screening and cell product quality control. Without these techniques, accurate single-cell analysis and modern cell-based treatments would be impossible. The analysis of rare cells, such as cancer stem cells and circulating tumor cells, to assess their functional responses is rapidly gaining prominence given its relevance for its potential to address issues in the development of new drugs and clinical diagnostics.
Learning without a brain store memories and remember the past like artificial neural networks
Bacteria use strategies similar to artificial neural networks to use the past to adapt to the future.
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Scientists Can Now Watch ‘Conversations’ Between Cells Across The Body of a Living Animal
Biology – the study of living things – can admittedly be a little reductive at times.
It’s easy to miss important connections depending on how you look at an organism. Microscopes show us the fine details of a body, dissection has helped us identify different organs, and X-rays can show us the bigger picture of internal systems.
But until now, it’s been tricky to see how living cells communicate across those systems, which traditionally have been studied in isolation, even though our bodies ultimately work as a whole.