CVE-2026-9986

Insufficient validation of untrusted input in OptimizationGuide in Google Chrome prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to perform UI spoofing via a crafted HTML page. Chromium security severity: High...

CVE-2026-9986

Insufficient validation of untrusted input in OptimizationGuide in Google Chrome prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to perform UI spoofing via a crafted HTML page. Chromium security severity: High...

CVE-2026-9986

Insufficient validation of untrusted input in OptimizationGuide in Google Chrome prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to perform UI spoofing via a crafted HTML page. Chromium security severity: High...

CVE-2026-9986

Insufficient validation of untrusted input in OptimizationGuide in Google Chrome prior to 148.0.7778.216 allowed a remote attacker who had compromised the renderer process to perform UI spoofing via a crafted HTML page. Chromium security severity: High...

CVE-2026-9986

Google Chrome and Microsoft Edge are vulnerable to a high-severity security flaw in the OptimizationGuide component due to insufficient validation of untrusted input . A remote attacker who has already compromised the renderer process can exploit this to perform UI spoofing by serving a specially...

Hijacking Agent Memory: Stealthy Trojan Attacks through Conversational Interaction

Large language model LLM agents increasingly leverage long term memory to support persistent and autonomous task execution. However, this capability also introduces a new attack surface: memory poisoning, where adversaries can inject malicious information to influence future behavior. Existing...

CVE-2026-45893

CVE-2026-45893 (Linux kernel/AppArmor issue) is addressed by patches in various OS branches. The vulnerability stems from creating tables from user-provided data that may be unaligned in memory, risking unaligned memory accesses when AppArmor builds tables. Connected OSV entries indicate patches ...

CVE-2026-45893: Undefined Security Weakness

In the Linux kernel, the following vulnerability has been resolved: apparmor: Fix & Optimize table creation from possibly unaligned memory Source blob may come from userspace and might be unaligned. Try to optize the copying process by avoiding unaligned memory accesses. - Added Fixes tag - Added...

Google Chrome 输入验证错误漏洞

Google Chrome is a web browser developed by Google Inc. Versions of Google Chrome prior to 148.0.7778.216 contained a vulnerability related to input validation. This vulnerability stemmed from insufficient input validation in the OptimizationGuide component, which could allow remote attackers to...

A Surveillance Evasion Game with Continuous Sensor Redeployment Via Bilevel Optimization

Uncrewed Aerial Systems UASs have become a growing threat to the security of critical infrastructure, exploiting spatiotemporal gaps in sensor perimeters to infiltrate restricted airspace undetected. We formulate this interaction as a two-player zero-sum differential game between an adversarial U...

Linux Distros Unpatched Vulnerability : CVE-2026-42627

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

DEBIAN-CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

UBUNTU-CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

PT-2026-42819

Name of the Vulnerable Software and Affected Versions Arm ArmNN versions prior to 2026-03-28 Description An integer overflow exists in the TensorShape::GetNumElements function within armnn/Tensor.cpp. This occurs when tensor dimensions are multiplied using 32-bit unsigned arithmetic without...

CVE-2026-42627

Arm ArmNN versions prior to 2026-03-27 are vulnerable to an integer overflow in the TensorShape::GetNumElements() function within armnn/Tensor.cpp. This occurs because tensor dimensions are multiplied using 32-bit unsigned arithmetic without overflow detection, causing GetNumBytes() to return an ...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...