Covert Timing Channel

Overview Affected versions of this package are vulnerable to Covert Timing Channel via timing differences in RSA and CBC/ECB decryption operations when the LLVM compiler's select-optimize feature is enabled. An attacker can infer sensitive information, such as cryptographic keys, by analyzing the...

Covert Timing Channel

Overview openclaw is a 🦞 OpenClaw — Personal AI Assistant Affected versions of this package are vulnerable to Covert Timing Channel via the dispatch-wrapper-resolution.ts and exec-wrapper-resolution.ts processes. An attacker can gain unauthorized code execution by bypassing the intended allowlist...

OpenAI Patches ChatGPT Data Exfiltration Flaw and Codex GitHub Token Vulnerability

A previously unknown vulnerability in OpenAI ChatGPT allowed sensitive conversation data to be exfiltrated without user knowledge or consent, according to new findings from Check Point. "A single malicious prompt could turn an otherwise ordinary conversation into a covert exfiltration channel,...

RadEar: A Self-Supervised RF Backscatter System for Voice Eavesdropping and Separation

Eavesdropping on voice conversations presents a growing threat to personal privacy and information security. In this paper, we present RadEar, a novel RF backscatter-based system designed to enable covert voice eavesdropping through walls. RadEar consists of two key components: i a batteryless RF...

Siemens SCALANCE and RUGGEDCOM Covert Timing Channel (CVE-2025-27587)

OpenSSL 3.0.0 through 3.3.2 on the PowerPC architecture is vulnerable to a Minerva attack, exploitable by measuring the time of signing of random messages using the EVPDigestSign API, and then using the private key to extract the K value nonce from the signatures. Next, based on the bit size of t...

Steganographic Information Hiding Via Symmetric Numerical Semigroups

We introduce a steganographic information hiding scheme based on structural properties of numerical semigroups arising from the Frobenius coin problem. Instead of encoding data through representable integers, the proposed protocol embeds information into the gap structure of carefully chosen...

CONTEX-T: Contextual Privacy Exploitation Via Transformer Spectral Analysis for IoT Device Fingerprinting

The rapid expansion of internet of things IoT devices have created a pervasive ecosystem where encrypted wireless communications serve as the primary privacy and security protection mechanism. While encryption effectively protects message content, packet metadata and statistics inadvertently expo...

Side-Channel Attacks on Open VSwitch

Virtualization is widely adopted in cloud systems to manage resource sharing among users. A virtualized environment usually deploys a virtual switch within the host system to enable virtual machines to communicate with each other and with the physical network. The Open vSwitch OVS is one of the...

Memory DisOrder: Memory Re-Orderings As a Timerless Side-Channel

To improve efficiency, nearly all parallel processing units CPUs and GPUs implement relaxed memory models in which memory operations may be re-ordered, i.e., executed out-of-order. Prior testing work in this area found that memory re-orderings are observed more frequently when other cores are...

Memory Re-orderings as a Timerless Side-channel

Summary Researchers have provided AMD with a paper titled “MEMORY DISORDER: Memory Re-orderings as a Timerless Side-channel” In this work, the authors introduced MEMORY DISORDER, a timerless side-channel attack that exploits memory re-orderings to infer activity on other processes. They showed th...

CVE-2023-50923

In QUIC in RFC 9000, the Latency Spin Bit specification section 17.4 does not strictly constrain the bit value when the feature is disabled, which might allow remote attackers to construct a covert channel with data represented as changes to the bit value. NOTE: The "Sheridan, S., Keane, A. 2015...

Supporting Secured Integration of Microarchitectural Defenses

There has been a plethora of microarchitectural-level attacks leading to many proposed countermeasures. This has created an unexpected and unaddressed security issue where naive integration of those defenses can potentially lead to security vulnerabilities. This occurs when one defense changes an...

SemCovert: Secure and Covert Video Transmission Via Deep Semantic-Level Hiding

Video semantic communication, praised for its transmission efficiency, still faces critical challenges related to privacy leakage. Traditional security techniques like steganography and encryption are challenging to apply since they are not inherently robust against semantic-level transformations...

UIXPOSE: Mobile Malware Detection Via Intention-Behaviour Discrepancy Analysis

We introduce UIXPOSE, a source-code-agnostic framework that operates on both compiled and open-source apps. This framework applies Intention Behaviour Alignment IBA to mobile malware analysis, aligning UI-inferred intent with runtime semantics. Previous work either infers intent statically, e.g.,...

LeechHijack: Covert Computational Resource Exploitation in Intelligent Agent Systems

Large Language Model LLM-based agents have demonstrated remarkable capabilities in reasoning, planning, and tool usage. The recently proposed Model Context Protocol MCP has emerged as a unifying framework for integrating external tools into agent systems, enabling a thriving open ecosystem of...

When your AI Assistant Becomes the Attacker’s Command-and-Control

Earlier this month, Microsoft uncovered SesameOp, a new backdoor malware that abuses the OpenAI Assistants API as a covert command-and-control C2 channel. The discovery has drawn significant attention within the cybersecurity community. Security teams can no longer focus solely on endpoint malwar...

Improving the Identification of Real-World Malware's DNS Covert Channels Using Locality Sensitive Hashing

Nowadays, malware increasingly uses DNS-based covert channels in order to evade detection and maintain stealthy communication with its command-and-control servers. While prior work has focused on detecting such activity, identifying specific malware families and their behaviors from captured...

Hiding in the AI Traffic: Abusing MCP for LLM-Powered Agentic Red Teaming

Generative AI is reshaping offensive cybersecurity by enabling autonomous red team agents that can plan, execute, and adapt during penetration tests. However, existing approaches face trade-offs between generality and specialization, and practical deployments reveal challenges such as...

Exploring AI in Steganography and Steganalysis: Trends, Clusters, and Sustainable Development Potential

Steganography and steganalysis are strongly related subjects of information security. Over the past decade, many powerful and efficient artificial intelligence AI - driven techniques have been designed and presented during research into steganography as well as steganalysis. This study presents a...

Malicious code in @miptaa02/tqd (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector bfc02cee55f7997e2e271fa79db929ca97fba3c98e38852f2ad6567583f49d09 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...