ZeroHour

Search: “nextgen”

75 items

NextGen Healthcare Mirth Connect

CISA warns NextGen Healthcare Mirth Connect <=4.7.1 has SQL injection and XXE flaws enabling credential theft, file writes, and DoS.

CISA released advisory ICSMA-26-253-01 covering three vulnerabilities in NextGen Healthcare Mirth Connect versions 4.7.1 and earlier: SQL injection CVE-2026-82583 (CVSS 8.3), XXE CVE-2026-78224 (CVSS 8.2), and XXE CVE-2026-82578 (CVSS 7.5). Exploitation could expose stored credentials for connected systems, enable arbitrary file writes, and cause denial-of-service conditions. No public exploitation has been reported; the product is deployed worldwide in the Healthcare and Public Health sector.

CISA Advisoriesupdated · 5d agofirst · 6d agoAdvisory 2 sourcesCVE-2026-82583CVE-2026-78224CVE-2026-82578

CVE-2026-82583, CVE-2026-78224, CVE-2026-82578: NextGen Mirth Connect SQL injection and XXE

CISA advisory ICSMA-26-253-01 covers three NextGen Mirth Connect flaws, including SQL injection and XXE, with testing performed against version 4.5.2.

CISA has published ICS Medical Advisory ICSMA-26-253-01 covering three vulnerabilities in NextGen Mirth Connect, the open-source healthcare integration engine. The flaws include SQL injection and XML external entity (XXE) injection, tracked as CVE-2026-82583, CVE-2026-78224 and CVE-2026-82578, with testing performed against version 4.5.2. The findings were announced on the oss-security mailing list by researcher Abhinav Agarwal on September 11.

Cohere Releases North Small Translate: A 218B MoE Translation Model That Scores 83.6 on WMT26 Across 50 Languages

Cohere released North Small Translate, an open-weight 218B MoE (25B active) translation model scoring 83.6 on WMT26 across 50 languages.

Cohere and Cohere Labs released North Small Translate, a decoder-only sparse Mixture-of-Experts translation model with 218B total and 25B active parameters, 128 experts with 8 activated per token plus shared experts, and 16K-token input and output context. In Cohere's vendor-reported WMT26 evaluation, judged by GPT-5.6-Sol, it scores 83.6 averaged across 50 languages (84.36 in an agentic multi-pass mode), ahead of DeepL NextGen (81.37), Qwen 3.5 397B A17B (81.56), GLM 5.2 (76.50), and Google Translate (68.20). The model was built with RWS's Language Weaver team, post-trained specifically for translation, and reports 112 output tokens per second versus 81 for Gemma 4 31B, with long-document xCOMET-XL scores of 48.9 versus 21.3 for Google Translate. It is available free on Cohere's Chat V2 API until rate limits, with three self-hosting checkpoints including a 4-bit NVFP4 variant running on 1x B200 or 2x H100.

MarkTechPost · 5d agoModel release