Microsoft and CrowdStrike Launch Shared Threat Actor Glossary to Cut Attribution Confusion

Microsoft and CrowdStrike have announced that they are teaming up to align their individual threat actor taxonomies by publishing a new joint threat actor mapping. "By mapping where our knowledge of these actors align, we will provide security professionals with the ability to connect insights...

Watermarking without Standards Is Not AI Governance

Watermarking has emerged as a leading technical proposal for attributing generative AI content and is increasingly cited in global governance frameworks. This paper argues that current implementations risk serving as symbolic compliance rather than delivering effective oversight. We identify a...

Zero-Trust Foundation Models: a New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things

This paper focuses on Zero-Trust Foundation Models ZTFMs, a novel paradigm that embeds zero-trust security principles into the lifecycle of foundation models FMs for Internet of Things IoT systems. By integrating core tenets, such as continuous verification, least privilege access LPA, data...

CVE-2023-21096

In OnWakelockReleased of attributionprocessor.cc, there is a use after free that could lead to remote code execution with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12 Android-12L Android-13Android ID: A-254774758...

CVE-2023-20934

In resolveAttributionSource of ServiceUtilities.cpp, there is a possible way to disable the microphone privacy indicator due to a permissions bypass. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for...

CVE-2020-27621

The FileImporter extension in MediaWiki through 1.35.0 was not properly attributing various user actions to a specific user's IP address. Instead, for various actions, it would report the IP address of an internal Wikimedia Foundation server by omitting X-Forwarded-For data. This resulted in an...

On Technique Identification and Threat-Actor Attribution Using LLMs and Embedding Models

Attribution of cyber-attacks remains a complex but critical challenge for cyber defenders. Currently, manual extraction of behavioral indicators from dense forensic documentation causes significant attribution delays, especially following major incidents at the international scale. This research...

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning

This paper presents a holistic approach to attacker preference modeling from system-level audit logs using inverse reinforcement learning IRL. Adversary modeling is an important capability in cybersecurity that lets defenders characterize behaviors of potential attackers, which enables attributio...

RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks

Network attackers have increasingly resorted to proxy chains, VPNs, and anonymity networks to conceal their activities. To tackle this issue, past research has explored the applicability of traffic correlation techniques to perform attack attribution, i.e., to identify an attacker's true network...

CachePrune: Neural-Based Attribution Defense against Indirect Prompt Injection Attacks

Large Language Models LLMs are identified as being susceptible to indirect prompt injection attack, where the model undesirably deviates from user-provided instructions by executing tasks injected in the prompt context. This vulnerability stems from LLMs' inability to distinguish between data and...

TriniMark: a Robust Generative Speech Watermarking Method for Trinity-Level Attribution

Whitepaper called TriniMark: A Robust Generative Speech Watermarking Method For Trinity-Level Attribution...

Cluster-Aware Attacks on Graph Watermarks

Data from domains such as social networks, healthcare, finance, and cybersecurity can be represented as graph-structured information. Given the sensitive nature of this data and their frequent distribution among collaborators, ensuring secure and attributable sharing is essential. Graph...

The Chronicles of Foundation AI for Forensics of Multi-Agent Provenance

Provenance is the chronology of things, resonating with the fundamental pursuit to uncover origins, trace connections, and situate entities within the flow of space and time. As artificial intelligence advances towards autonomous agents capable of interactive collaboration on complex tasks, the...

Blurring the Lines: How Nation-States and Organized Cybercriminals Are Becoming Alike

Blurring the Lines: How Nation-States and Organized Cybercriminals Are Becoming Alike By Tomer Shloman · January 7, 2025 The distinction between nation-state actors and organized cybercriminals is becoming increasingly blurred in our rapidly evolving cyber landscape. Historically, these groups ha...

CVE-2024-54493

This issue was addressed through improved state management. This issue is fixed in macOS Sequoia 15.2. Privacy indicators for microphone access may be attributed incorrectly...

The US Is Calling Out Foreign Influence Campaigns Faster Than Ever

The 2024 elections were a high-water mark for naming and shaming threat actors from foreign governments. There’s still work to be done, though, on how to attribute disinformation campaigns most effectively...

Unspecified vulnerability in Huawei HarmonyOS (CNVD-2025-22296)

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a pop-up window in the vpn module indicating no application attribution. An attacker...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a pop-up window in the vpn module indicating no application attribution. An attacker...

SpyCloud Adds Identity Analytics to Cybercrime Investigation Solution for Insider Risk

Austin, TX, USA, 10th October 2024, CyberNewsWire...

Microsoft Detects Growing Use of File Hosting Services in Business Email Compromise Attacks

Microsoft is warning of cyber attack campaigns that abuse legitimate file hosting services such as SharePoint, OneDrive, and Dropbox that are widely used in enterprise environments as a defense evasion tactic. The end goal of the campaigns are broad and varied, allowing threat actors to compromis...