Android Code Search
Android Code Search
2026-07-27 归档
今日共收录 632 条安全情报，包含 14 个 CVE，301 篇安全通告，以及 58 篇研究论文。
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Android Devices
Secure an Android device
Secure an Android device
Android 16 QPR2
Android 16 QPR2
Mobile network security
Mobile network security
iOS 26.5 and iPadOS 26.5
iOS 26.5 and iPadOS 26.5
iOS 18.7.9 and iPadOS 18.7.9
iOS 18.7.9 and iPadOS 18.7.9
iOS 16.7.16 and iPadOS 16.7.16
iOS 16.7.16 and iPadOS 16.7.16
iOS 15.8.8 and iPadOS 15.8.8
iOS 15.8.8 and iPadOS 15.8.8
MFSA 2026-49Security Vulnerabilities fixed in Firefox for iOS 151.0
MFSA 2026-49Security Vulnerabilities fixed in Firefox for iOS 151.0
MFSA 2026-52Security Vulnerabilities fixed in Firefox for iOS 151.1
MFSA 2026-52Security Vulnerabilities fixed in Firefox for iOS 151.1
MFSA 2026-53Security Vulnerabilities fixed in Firefox for iOS 151.2
MFSA 2026-53Security Vulnerabilities fixed in Firefox for iOS 151.2
MFSA 2026-55Security Vulnerabilities fixed in Focus for iOS / Klar 151.3.1
MFSA 2026-55Security Vulnerabilities fixed in Focus for iOS / Klar 151.3.1
MFSA 2026-56Security Vulnerabilities fixed in Firefox for iOS 152.0
MFSA 2026-56Security Vulnerabilities fixed in Firefox for iOS 152.0
iOS 26.5.2 and iPadOS 26.5.2
iOS 26.5.2 and iPadOS 26.5.2
MFSA 2026-65Security Vulnerabilities fixed in Firefox for iOS 152.3
MFSA 2026-65Security Vulnerabilities fixed in Firefox for iOS 152.3
MFSA 2026-66Security Vulnerabilities fixed in Firefox for iOS 152.4
MFSA 2026-66Security Vulnerabilities fixed in Firefox for iOS 152.4
APSB26-77: Security update available for Adobe Creative Cloud Desktop Application
APSB26-77: Security update available for Adobe Creative Cloud Desktop Application
HarnessLLM: Rust Verification Harness Generation with Large Language Models
本文提出 HarnessLLM，一个利用大语言模型（LLM）自动为 Rust 代码生成验证 harness 的工作流。Rust 的所有权模型和类型系统提供了强内存安全保证，但 unsafe 代码和运行时 panic 仍带来显著风险。形式化验
SIREN (Luring LLMs onto the Rocks): PAIR-Driven Preference Manipulation in Web-RAG Recommenders
本文研究了针对网络增强型大语言模型（LLM）推荐系统的对抗性排名操纵问题。当LLM通过检索和阅读实时网页来回答推荐查询时，它扮演了推荐系统的角色，每个检索到的页面都可能成为攻击面。现有工作主要关注虚构产品、检索投毒和排名提升，但未系统比较在