https://vulnerability.circl.lu/sightings/feed 2026-06-06T13:11:28.897526+00:00 Vulnerability-Lookup info@circl.lu python-feedgen Contains only the most 10 recent sightings. https://vulnerability.circl.lu/sighting/d1378d23-597d-4e01-9256-963eb54f2344/export 2026-06-06T13:11:29.313320+00:00 Automation user https://cve.circl.lu/user/automation {"uuid": "d1378d23-597d-4e01-9256-963eb54f2344", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2025-27138", "type": "seen", "source": "https://t.me/cvedetector/20238", "content": "{\n \"Source\": \"CVE FEED\",\n \"Title\": \"CVE-2025-27138 - DataEase Unauthenticated Access Vulnerability\", \n \"Content\": \"CVE ID : CVE-2025-27138 \nPublished : March 13, 2025, 5:15 p.m. | 43\u00a0minutes ago \nDescription : DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, there is a flaw in the authentication in the io.dataease.auth.filter.TokenFilter class, which may cause the risk of unauthorized access. The vulnerability has been fixed in v2.10.6. No known workarounds are available. \nSeverity: 0.0 | NA \nVisit the link for more details, such as CVSS details, affected products, timeline, and more...\",\n \"Detection Date\": \"13 Mar 2025\",\n \"Type\": \"Vulnerability\"\n}\n\ud83d\udd39 t.me/cvedetector \ud83d\udd39", "creation_timestamp": "2025-03-13T19:48:14.000000Z"} 2025-03-13T19:48:14+00:00