On Reliability of Efficient Membership Inference Vulnerability Evaluation

Membership inference attacks MIAs are popular methods for empirically assessing the leakage of sensitive information in the training data through models or statistics learned from the data. The MIA vulnerability is often evaluated through false positive rate FPR and true positive rate TPR of a...

CALIBURN: A Regime-Sensitivity Study of Operationally Calibrated Streaming Intrusion Detection

Streaming network intrusion detection systems must process flows continuously while keeping memory bounded, but most current methods leave alerting threshold selection as a post-hoc tuning problem poorly suited to production. Operators need alerting behaviour specifiable before deployment using...

a-mailx (=0.1.0), a2 (>=0.1.0 <=0.3.17) +95 more potentially affected by CVE-2026-35397 via jupyter-server (>=2.0.0rc3 <=2.17.0)

jupyter-server PYPI version =2.0.0rc3, =0.1.0, =0.1.0, =0.1.0, =0.1.0, =0.0.1, =3.0.0, =0.1.0, =0.0.1, =0.0.6 and more Source cves: CVE-2026-35397 Source advisory: SNYK:PYTHON-JUPYTERSERVER-16425698...

Astra Linux - уязвимость в linux-5.10

In the Linux kernel, the following vulnerability has been resolved: ALSA: hda: tas2781: Fix wrong reference of tasdevicepriv During the conversion to unify the calibration data management, the reference to tasdevicepriv was wrongly set to h-hdapriv instead of h-priv. This resulted in memory...

Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents

Autonomous AI agents deployed on platforms such as OpenClaw face prompt injection, memory poisoning, supply-chain attacks, and social engineering, yet existing defences address only the platform perimeter, leaving the agent's own threat judgement entirely untrained. We present ClawdGo, a framewor...

[SECURITY] Fedora 44 Update: kgamma-6.6.4-1.fc44

A monitor calibration tool...

Internet Malware Propagation: Dynamics and Control through SEIRV Epidemic Model with Relapse and Intervention

Malware attacks in today's vast digital ecosystem pose a serious threat. Understanding malware propagation dynamics and designing effective control strategies are therefore essential. In this work, we propose a generic SEIRV model formulated using ordinary differential equations to study malware...

CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions

The evaluation of Large Language Models LLMs for code generation relies heavily on the quality and robustness of test cases. However, existing benchmarks often lack coverage for subtle corner cases, allowing incorrect solutions to pass. To bridge this gap, we propose CodeHacker, an automated agen...

Red-Teaming Claude Opus and ChatGPT-Based Security Advisors for Trusted Execution Environments

Trusted Execution Environments TEEs e.g., Intel SGX and ArmTrustZone aim to protect sensitive computation from a compromised operating system, yet real deployments remain vulnerable to microarchitectural leakage, side-channel attacks, and fault injection. In parallel, security teams increasingly...

Jailbreaking LLMs Via Calibration

Safety alignment in Large Language Models LLMs often creates a systematic discrepancy between a model's aligned output and the underlying pre-aligned data distribution. We propose a framework in which the effect of safety alignment on next-token prediction is modeled as a systematic distortion of...

Human-Centered Explainability in AI-Enhanced UI Security Interfaces: Designing Trustworthy Copilots for Cybersecurity Analysts

Artificial intelligence AI copilots are increasingly integrated into enterprise cybersecurity platforms to assist analysts in threat detection, triage, and remediation. However, the effectiveness of these systems depends not only on the accuracy of underlying models but also on the degree to whic...

EUVD-2025-203934

CSRF vulnerability in narda miteq Uplink Power Contril Unit UPC2 v.1.17 allows a remote attacker to execute arbitrary code via the Web-based management interface and specifically the /systemsetup.htm, /setclock.htm, /receiversetup.htm, /cal.htm?..., and /channelsetup.htm endpoints...

Adversarial Limits of Quantum Certification: When Eve Defeats Detection

Security of quantum key distribution QKD relies on certifying that observed correlations arise from genuine quantum entanglement rather than eavesdropper manipulation. Theoretical security proofs assume idealized conditions, practical certification must contend with adaptive adversaries who...

kernel: wifi: brcmsmac: add gain range check to wlc_phy_iqcal_gainparams_nphy()

In the Linux kernel, the following vulnerability has been resolved: wifi: brcmsmac: add gain range check to wlcphyiqcalgainparamsnphy In 'wlcphyiqcalgainparamsnphy', add gain range check to WARN instead of possible out-of-bounds 'tbliqcalgainparamsnphy' access. Compile tested only. Found by Linux...

Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models

Phishing emails continue to pose a persistent challenge to online communication, exploiting human trust and evading automated filters through realistic language and adaptive tactics. While large language models LLMs such as GPT-4 and LLaMA-3-8B achieve strong accuracy in text classification, thei...

EUVD-2017-2653

Malware in sbrugna...

EUVD-2020-2723

Malware in sbrugna...

EUVD-2023-33071

Malicious code in bioql PyPI...

EUVD-2025-20409

Malicious code in bioql PyPI...

EUVD-2023-37300

Malicious code in bioql PyPI...