🚨 CrowdStrike has had its NPM packages compromised 𝘔𝘺 𝘣𝘪𝘨 '𝘏𝘈𝘊𝘒𝘌𝘋' 𝘴𝘵𝘢𝘮𝘱 𝘪𝘴 𝘣𝘢𝘤𝘬.  Crowdstrike has been caught in a Supply chain attack that so far includes 180 packages from various organizations. 𝗖𝗿𝗼𝘄𝗱𝘀𝘁𝗿𝗶𝗸𝗲 𝗽𝗮𝗰𝗸𝗮𝗴𝗲𝘀 𝗰𝗼𝗺𝗽𝗿𝗼𝗺𝗶𝘀𝗲𝗱 𝗶𝗻𝗰𝗹𝘂𝗱𝗲  @crowdstrike/commitlint @crowdstrike/falcon-shoelace @crowdstrike/foundry-js @crowdstrike/glide-core @crowdstrike/logscale-dashboard @crowdstrike/logscale-file-editor @crowdstrike/logscale-parser-edit @crowdstrike/logscale-search @crowdstrike/tailwind-toucan-base This appears to be a continuation of the Tinycolor attack first discovered by Daniel Pereira that Socket and StepSecurity had reported on. Both discovered that a combined 40 packages were compromised. Since then, an additional 140 packages have been compromised, including those from Crowdstrike. This is ongoing, so expect more compromises to follow. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗲 𝗺𝗮𝗹𝘄𝗮𝗿𝗲 𝗱𝗼𝗲𝘀  The malware steals credentials using webhook[.]site, this is especially bad because they are using a free-tier webho

CrowdStrike fixed CVE-2026-40050 in LogScale self-hosted, a critical flaw allowing unauthenticated file access via path traversal.

With this integration, joint customers who have both Falcon LogScale and Cloudflare Email Security can now send detection data to be ingested and displayed within their Falcon LogScale dashboard

Research on the function and evolution of animal sounds typically analyses sound frequency on a linear scale (Hz), despite the perception and modulation of sound frequency by animals being better ...

    CVE-2026-40050 — CrowdStrike LogScale Unauthenticated Path Traversal 0 views Eyal Estrin unread, 12:16 AM (11 minutes ago)    to https://www.crowdstrike.com/en-us/security-advisories/cve-2026-40050/ https://securityaffairs.com/191343/hacking/critical-bug-in-crowdstrike-logscale-let-attackers-access-files.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Machine learning (ML) models now play a crucial role in predicting properties essential to drug development, such as a drug’s logscale acid-dissociation constant (pKa). Despite recent architectural ad...