2062 matches found
CVE-2025-21024
Use of Implicit Intent for Sensitive Communication in Smart View prior to Android 16 allows local attackers to access sensitive information...
CVE-2025-21024
Use of Implicit Intent for Sensitive Communication in Smart View prior to Android 16 allows local attackers to access sensitive information...
CVE-2025-21024
Samsung Smart View before Android 16 is affected by CVE-2025-21024 due to the use of implicit intents for sensitive communication, enabling local attackers to access sensitive information through the affected component. The issue is described across multiple sources as a vulnerability in Smart Vi...
CVE-2025-21024
Use of Implicit Intent for Sensitive Communication in Smart View prior to Android 16 allows local attackers to access sensitive information...
CVE-2025-8192
There exists a TOCTOU race condition in TvSettings AppRestrictionsFragment.java that lead to start of attacker supplied activity in Settings’ context, i.e. system-uid context, thus lead to launchAnyWhere. The core idea is to utilize the time window between the check of Intent and the use to Inten...
CVE-2025-8192 Race condition in AndroidTV TvSettings
There exists a TOCTOU race condition in TvSettings AppRestrictionsFragment.java that lead to start of attacker supplied activity in Settings’ context, i.e. system-uid context, thus lead to launchAnyWhere. The core idea is to utilize the time window between the check of Intent and the use to Inten...
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
Machine unlearning MU removes specific data points or concepts from deep learning models to enhance privacy and prevent sensitive content generation. Adversarial prompts can exploit unlearned models to generate content containing removed concepts, posing a significant security risk. However,...
CVE-2025-43977
The com.skt.prod.dialer application through 12.5.0 for Android enables any installed application with no permissions to place phone calls without user interaction by sending a crafted intent via the com.skt.prod.dialer.activities.outgoingcall.OutgoingCallInternalBroadcaster component...
CVE-2025-43976
The com.enflick.android.tn2ndLine application through 24.17.1.0 for Android enables any installed application with no permissions to place phone calls without user interaction by sending a crafted intent via the com.enflick.android.TextNow.activities.DialerActivity component...
CVE-2025-43976
The com.enflick.android.tn2ndLine application through 24.17.1.0 for Android enables any installed application with no permissions to place phone calls without user interaction by sending a crafted intent via the com.enflick.android.TextNow.activities.DialerActivity component...
CVE-2025-43976
The com.enflick.android.tn2ndLine application through 24.17.1.0 for Android enables any installed application with no permissions to place phone calls without user interaction by sending a crafted intent via the com.enflick.android.TextNow.activities.DialerActivity component...
com.enflick.android.tn2ndLine 安全漏洞
com.enflick.android.tn2ndLine is an application. A security vulnerability exists in com.enflick.android.tn2ndLine version 24.17.1.0 and earlier, which stems from a vulnerability that allows arbitrary apps to make phone calls via a specially crafted intent, which could result in a phone call witho...
CVE-2025-43976
CVE-2025-43976 affects com.enflick.android.tn2ndLine up to version 24.17.1.0 on Android. The vulnerability allows any installed app (no permissions required) to initiate a phone call by sending a crafted intent to com.enflick.android.TextNow.activities.DialerActivity, enabling local interaction w...
Toward an Intent-Based and Ontology-Driven Autonomic Security Response in Security Orchestration Automation and Response
Modern Security Orchestration, Automation, and Response SOAR platforms must rapidly adapt to continuously evolving cyber attacks. Intent-Based Networking has emerged as a promising paradigm for cyber attack mitigation through high-level declarative intents, which offer greater flexibility and...
ARMOR: Aligning Secure and Safe Large Language Models Via Meticulous Reasoning
Large Language Models LLMs have demonstrated remarkable generative capabilities. However, their susceptibility to misuse has raised significant safety concerns. While post-training safety alignment methods have been widely adopted, LLMs remain vulnerable to malicious instructions that can bypass...
DHS Tells Police That Common Protest Activities Are ‘Violent Tactics’
DHS is urging law enforcement to treat even skateboarding and livestreaming as signs of violent intent during a protest, turning everyday behavior into a pretext for police action...
CVE-2025-21004
Improper verification of intent by broadcast receiver in System UI for Galaxy Watch prior to SMR Jul-2025 Release 1 allows local attackers to power off the device...
SAMSUNG Mobile devices 安全漏洞
SAMSUNG Mobile devices are a range of Samsung mobile devices, including cell phones, tablets, etc., from the South Korean company Samsung SAMSUNG. A security vulnerability exists in SAMSUNG Mobile devices versions prior to SMR Jul-2025 Release 1, which stems from improper broadcast receiver inten...
SecurityLingua: Efficient Defense of LLM Jailbreak Attacks Via Security-Aware Prompt Compression
Large language models LLMs have achieved widespread adoption across numerous applications. However, many LLMs are vulnerable to malicious attacks even after safety alignment. These attacks typically bypass LLMs' safety guardrails by wrapping the original malicious instructions inside adversarial...
ImpReSS: Implicit Recommender System for Support Conversations
Following recent advancements in large language models LLMs, LLM-based chatbots have transformed customer support by automating interactions and providing consistent, scalable service. While LLM-based conversational recommender systems CRSs have attracted attention for their ability to enhance th...