CVE-2026-0093

In multiple locations, there is a possible misleading UI due to obfuscation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...

CVE-2026-0093

In multiple locations, there is a possible misleading UI due to obfuscation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...

CVE-2026-0093

The Android operating system is affected by a vulnerability in the loadSafeLabel() function, where errors in information representation create a misleading UI due to obfuscation. This flaw allows an attacker to achieve a local escalation of privilege without requiring additional execution privile...

Google Android security vulnerabilities

Google Android is an open-source operating system based on Linux, developed by Google Inc. There is a security vulnerability in Google Android, which stems from the getCallingPackageName function in Shared.java code. This function contains obfuscation, potentially allowing bypass of activity laun...

PT-2026-45597

Name of the Vulnerable Software and Affected Versions Microsoft Windows affected versions not specified Description Obfuscation in multiple locations may result in a misleading user interface. This issue allows for local escalation of privilege without requiring additional execution privileges or...

CVE-2026-0093: User Interface (UI) Misrepresentation of Critical Information

In multiple locations, there is a possible misleading UI due to obfuscation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...

ASB-A-473812391

In multiple locations, there is a possible misleading UI due to obfuscation. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation...

Embedded Malicious Code

Overview Affected versions of this package are vulnerable to Embedded Malicious Code linked to the "Miasma" supply chain attack targeting the @redhat-cloud-services npm namespace. A malicious actor compromised the publication pipeline and published versions containing malicious code that includes...

Embedded Malicious Code

Overview Affected versions of this package are vulnerable to Embedded Malicious Code linked to the "Miasma" supply chain attack targeting the @redhat-cloud-services npm namespace. A malicious actor compromised the publication pipeline and published versions containing malicious code that includes...

Embedded Malicious Code

Overview Affected versions of this package are vulnerable to Embedded Malicious Code linked to the "Miasma" supply chain attack targeting the @redhat-cloud-services npm namespace. A malicious actor compromised the publication pipeline and published versions containing malicious code that includes...

Embedded Malicious Code

Overview Affected versions of this package are vulnerable to Embedded Malicious Code linked to the "Miasma" supply chain attack targeting the @redhat-cloud-services npm namespace. A malicious actor compromised the publication pipeline and published versions containing malicious code that includes...

Embedded Malicious Code

Overview Affected versions of this package are vulnerable to Embedded Malicious Code linked to the "Miasma" supply chain attack targeting the @redhat-cloud-services npm namespace. A malicious actor compromised the publication pipeline and published versions containing malicious code that includes...

MAL-2026-5090 Malicious code in neuralforge-ml (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 c0a68c3ef2f7680eab753f62cc1792ae7df68bb15400e09971cc9c34a444307b The package contains stub code only imitating real actions. Starting with version 0.9.9, the code contains exfiltration capability activated under specific...

Malicious code in neuralforge-ml (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 c0a68c3ef2f7680eab753f62cc1792ae7df68bb15400e09971cc9c34a444307b The package contains stub code only imitating real actions. Starting with version 0.9.9, the code contains exfiltration capability activated under specific...

Malicious code in modulebuild3240234t (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 4d5962bd4c41d59c276f1fa132030098e557dee6bfe0b0a368a952f70d217287 The package contains an infostealer targeting the Roblox ecosystem. --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers...

MAL-2026-5029 Malicious code in modulebuild3240234t (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 4d5962bd4c41d59c276f1fa132030098e557dee6bfe0b0a368a952f70d217287 The package contains an infostealer targeting the Roblox ecosystem. --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers...

MAL-2026-5039 Malicious code in @t-in-one/get_application_hid (npm)

Wave 2 of a dependency confusion attack campaign C2: oob.moika.tech targeting internal npm scopes. The attacker npm user t-in-one, email [email protected] published packages at inflated versions that resolve ahead of private registry versions via npm's default version resolution. The campaign...

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...

Investigating Detection and Obfuscation of Prompt Injection Attacks against Software Reverse Engineering AI Agents

Agentic software reverse engineering systems are vulnerable to prompt injection attacks placed into the source code of executable binary files. This research demonstrates defensive tactics for detecting the presences of prompt injection strings in the decompiler output of adversarial example...

Malicious code in quatres (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 0d720315dd49970cfc00c39f4e377485b2746a4fc24f42dec7e79d0749ab9a7d During import, the hidden code downloads and executes the second-stage code. After performing anti-analysis checks, it downloads a malicious executable and...