20214 matches found
CVE-2026-9963
Uninitialized Use in iOS in Google Chrome on iOS prior to 148.0.7778.216 allowed a remote attacker who convinced a user to engage in specific UI gestures to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: High...
CVE-2026-9955
Inappropriate implementation in iOS in Google Chrome on iOS prior to 148.0.7778.216 allowed a remote attacker to leak cross-origin data via a crafted HTML page. Chromium security severity: High...
CVE-2026-9955
Inappropriate implementation in iOS in Google Chrome on iOS prior to 148.0.7778.216 allowed a remote attacker to leak cross-origin data via a crafted HTML page. Chromium security severity: High...
CVE-2026-9950
Technical details about CVE-2026-9950 are not publicly provided in the supplied documents. Monitor for updates from official advisories; no concrete affected products, versions, impact or remediation are disclosed here.
CVE-2026-9950
Insufficient validation of untrusted input in iOS in Google Chrome on iOS prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to bypass same origin policy via a crafted HTML page. Chromium security severity: High...
CVE-2026-47713
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to 1.13.0, an approved mobile device token created in single-user mode can survive single-user - multi-user migration even when the device record has userId = null. In...
EUVD-2026-33069
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to 1.13.0, an approved mobile device token created in single-user mode can survive single-user - multi-user migration even when the device record has userId = null. In...
CVE-2026-47713 AnythingLLM: Legacy mobile device tokens bypass multi-user workspace scoping after mode migration
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to 1.13.0, an approved mobile device token created in single-user mode can survive single-user - multi-user migration even when the device record has userId = null. In...
CVE-2026-47713 AnythingLLM: Legacy mobile device tokens bypass multi-user workspace scoping after mode migration
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to 1.13.0, an approved mobile device token created in single-user mode can survive single-user - multi-user migration even when the device record has userId = null. In...
CVE-2026-47713
Summary of CVE-2026-47713 : AnythingLLM prior to version 1.13.0 allowed a mobile device token created in single-user mode to survive the migration to multi-user mode without an attached user. In multi-user mode, the mobile authentication middleware accepted this token, causing downstream handlers...
CVE-2026-47713 AnythingLLM: Legacy mobile device tokens bypass multi-user workspace scoping after mode migration
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to 1.13.0, an approved mobile device token created in single-user mode can survive single-user - multi-user migration even when the device record has userId = null. In...
CVE-2026-8990 Authentication Bypass in Kidsview
A user with physical access to a smartphone can bypass authentication mechanism of Kidsview mobile application and grant himself full access to the device owner's account by interacting with application's push notification. This issue was fixed in version 4.4.3...
CVE-2026-4377
Dlink DWR-X1820 router uses weak default password generated from its IMEI number and does not require users to change it. An attacker who knows how passwords are generated can easily crack the default password if they have the device IMEI number. This issue was fixed in version 1.00B16CP...
Fourth Frontier Frontier X Mobile Application, Frontier X2
ADVISORY SUMMARY Successful exploitation of this vulnerability could allow an attacker to read and write arbitrary handle values and change clinical readings, which could result in taking control of the device and lead to patient harm. 2. RECOMMENDED PRACTICES CISA recommends users take...
PT-2026-44658
Name of the Vulnerable Software and Affected Versions Google Chrome on iOS versions prior to 148.0.7778.216 Description Insufficient validation of untrusted input allows a remote attacker who has compromised the renderer process to bypass the same origin policy, which is a security mechanism that...
PT-2026-44671
Name of the Vulnerable Software and Affected Versions Google Chrome on iOS versions prior to 148.0.7778.216 Description An uninitialized use issue allows a remote attacker to execute arbitrary code within a sandbox. This is achieved by convincing a user to perform specific UI gestures while...
Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms
The need for secure and private Artificial Intelligence AI and Machine Learning ML on edge and mobile devices has increased the necessity of protecting the architecture of these systems from threats to both security and privacy. With an ever-increasing number of pre-trained AI models being used o...
View Concept Kidsview 安全漏洞
Kidsview is a management and parent-teacher communication platform for kindergartens and childcare institutions developed by the Polish company View Concept. A security vulnerability exists in versions of the Kidsview mobile application prior to version 4.4.3. This vulnerability stems from an,...
PT-2026-44551
Name of the Vulnerable Software and Affected Versions AnythingLLM versions prior to 1.13.0 Description An issue exists where a mobile device token created in single-user mode remains valid after migration to multi-user mode, even if the device record has userId set to null. The mobile...
MIRAGE: Context-Aware Prompt Injection against Mobile GUI Agents Via User-Generated Content
Mobile graphical user interface GUI agents driven by vision-language models VLMs perceive the screen as rendered pixels and choose actions from what they see, so they cannot reliably separate trusted interface elements from user-generated content. We present MIRAGE Mobile Injection of Realistic...