CVE-2026-13831

Out of bounds read and write in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: High...

DEBIAN-CVE-2026-13831

Out of bounds read and write in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: High...

CVE-2026-13789

Use after free in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. Chromium security severity: High...

CVE-2026-13775

Use after free in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. Chromium security severity: Critical...

CVE-2026-13831

Out of bounds read and write in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: High...

CVE-2026-14049

An inappropriate implementation flaw in the GPU component of the Chromium browser (including Google Chrome and Microsoft Edge ) allows a remote attacker who has compromised the renderer process to access confidential data or sensitive information from process memory. This can be triggered by a sp...

CVE-2026-14049

Inappropriate implementation in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to obtain potentially sensitive information from process memory via a crafted HTML page. Chromium security severity: Low...

CVE-2026-14049

Inappropriate implementation in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to obtain potentially sensitive information from process memory via a crafted HTML page. Chromium security severity: Low...

CVE-2026-13875

Insufficient validation of untrusted input in GPU in Google Chrome on Windows prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to obtain potentially sensitive information from process memory via a crafted HTML page. Chromium security severity: Medium...

CVE-2026-13831

Google Chrome and Microsoft Edge are vulnerable to an out-of-bounds read and write within the GPU components. The root cause is related to the use of memory after it has been freed, which could allow a remote attacker who has already compromised the renderer process to execute arbitrary code insi...

CVE-2026-13831

Out of bounds read and write in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: High...

CVE-2026-13831

Out of bounds read and write in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: High...

CVE-2026-13789

Use after free in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. Chromium security severity: High...

CVE-2026-13789

Use after free in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. Chromium security severity: High...

CVE-2026-13775

Use after free in GPU in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. Chromium security severity: Critical...

org.apache.activemq:activemq-osgi (>=6.0.0, <=6.2.6), org.apache.activemq:activemq-unit-tests (>=6.0.0, <=6.2.6) +4 more potentially affected by CVE-2026-49432 via org.apache.activemq:activemq-stomp (>=6.0.0, <=6.2.6)

org.apache.activemq:activemq-stomp MAVEN version =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.2.6 - org.fcrepo:fcrepo-jms 7.0.0-rc1 - org.fcrepo:fcrepo-webapp 7.0.0-rc1 Source cves: CVE-2026-49432 Source advisory: SNYK:JAVA-ORGAPACHEACTIVEMQ-17739005...

org.apache.activemq:activemq-osgi (>=6.0.0, <=6.2.6), org.apache.activemq:activemq-unit-tests (>=6.0.0, <=6.2.6) +4 more potentially affected by CVE-2026-53916 via org.apache.activemq:activemq-stomp (>=6.0.0, <=6.2.6)

org.apache.activemq:activemq-stomp MAVEN version =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.2.6 - org.fcrepo:fcrepo-jms 7.0.0-rc1 - org.fcrepo:fcrepo-webapp 7.0.0-rc1 Source cves: CVE-2026-53916 Source advisory: SNYK:JAVA-ORGAPACHEACTIVEMQ-17738985...

org.apache.activemq:activemq-osgi (>=6.0.0, <=6.2.6), org.apache.activemq:activemq-unit-tests (>=6.0.0, <=6.2.6) +4 more potentially affected by CVE-2026-49432 via org.apache.activemq:activemq-stomp (>=6.0.0, <=6.2.6)

org.apache.activemq:activemq-stomp MAVEN version =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.2.6 - org.fcrepo:fcrepo-jms 7.0.0-rc1 - org.fcrepo:fcrepo-webapp 7.0.0-rc1 Source cves: CVE-2026-49432 Source advisory: MEND:CVE-2026-49432...

org.apache.activemq:activemq-osgi (>=6.0.0, <=6.2.6), org.apache.activemq:activemq-unit-tests (>=6.0.0, <=6.2.6) +4 more potentially affected by CVE-2026-53916 via org.apache.activemq:activemq-stomp (>=6.0.0, <=6.2.6)

org.apache.activemq:activemq-stomp MAVEN version =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.0.0, =6.2.6 - org.fcrepo:fcrepo-jms 7.0.0-rc1 - org.fcrepo:fcrepo-webapp 7.0.0-rc1 Source cves: CVE-2026-53916 Source advisory: MEND:CVE-2026-53916...

EnclaveX: End-To-End Confidential AI with CPU/GPU TEEs

Large Language Models LLMs have rapidly proliferated, driving widespread adoption of AI applications. Most deployments rely on centralized infrastructures such as Microsoft Azure, Google Cloud, or AWS, requiring users to share sensitive data and training or fine-tuning code. This dependence raise...