7039 matches found
CVE-2025-66581
Frappe LMS (versions before 2.41.0) has a server-side authorization flaw where endpoints relied on client-side checks, allowing authenticated low-privilege users (e.g., students) to perform actions outside their roles via the API. The issue is fixed in 2.41.0. Affected component: server-side perm...
PT-2025-49307
Name of the Vulnerable Software and Affected Versions Frappe Learning Management System LMS versions prior to 2.41.0 Description A flaw in the server-side authorization logic allowed authenticated users to perform actions beyond their assigned roles across multiple features. The affected endpoint...
Frappe Learning Management System 安全漏洞
Frappe Learning Management System is an easy-to-use open source learning management system from Frappe Open Source. A security vulnerability exists in Frappe Learning Management System versions prior to 2.41.0, which stems from a flaw in the server-side authorization logic that could result in a...
Cybersecurity strategies to prioritize now
The Deputy CISO blog series is where Microsoft Deputy Chief Information Security Officers CISOs share their thoughts on what is most important in their respective domains. In this series, you will get practical advice, tactics to start and stop deploying, forward-looking commentary on where the...
Cybersecurity strategies to prioritize now
The Deputy CISO blog series is where Microsoft Deputy Chief Information Security Officers CISOs share their thoughts on what is most important in their respective domains. In this series, you will get practical advice, tactics to start and stop deploying, forward-looking commentary on where the...
Exploit for CVE-2025-55182
CVE-2025-55182-docker-lab Vulnerable Docker environment for l...
Incorrect calculation on aarch64
On platforms without the core::arch::aarch64::vxarqu64 intrinsic, an unverified fallback in libcrux-intrinsics v0.0.3 passed incorrect arguments and produced wrong results. This corrupted SHA-3 digests and caused libcrux-ml-kem and libcrux-ml-dsa to sample incorrectly, yielding incorrect shared...
Beyond Detection: A Comprehensive Benchmark and Study on Representation Learning for Fine-Grained Webshell Family Classification
Malicious WebShells pose a significant and evolving threat by compromising critical digital infrastructures and endangering public services in sectors such as healthcare and finance. While the research community has made significant progress in WebShell detection i.e., distinguishing malicious...
CISA, Australia, and Partners Author Joint Guidance on Securely Integrating Artificial Intelligence in Operational Technology
CISA and the Australian Signals Directorate’s Australian Cyber Security Centre, in collaboration with federal and international partners, have released new cybersecurity guidance: Principles for the Secure Integration of Artificial Intelligence in Operational Technology. This guidance aims to hel...
CVE-2025-13542
The DesignThemes LMS plugin for WordPress is vulnerable to Privilege Escalation in all versions up to, and including, 1.0.4. This is due to the 'dtlmsregisteruserfrontend' function not restricting what user roles a user can register with. This makes it possible for unauthenticated attackers to...
How to build forward-thinking cybersecurity teams for tomorrow
We are witnessing something unprecedented in cybersecurity: the democratization of advanced cyberattack capabilities. What once required nation-state resources sophisticated social engineering, polymorphic malware, coordinated infrastructure now fits in a prompt window. AI is no longer a futurist...
CVE-2025-41743
Insufficient encryption strength in Sprecher Automation SPRECON-E-C, SPRECON-E-P, and SPRECON-E-T3 allows a local unprivileged attacker to extract data from update images and thus obtain limited information about the architecture and internal processes...
CVE-2025-65676
Stored Cross site scripting XSS vulnerability in Classroomio LMS 0.1.13 allows authenticated attackers to execute arbitrary code via crafted SVG cover images...
AI-Driven Cybersecurity Testbed for Nuclear Infrastructure: Comprehensive Evaluation Using METL Operational Data
Advanced nuclear reactor systems face increasing cybersecurity threats as sophisticated attackers exploit cyber-physical interfaces to manipulate control systems while evading traditional IT security measures. This research presents a comprehensive evaluation of artificial intelligence approaches...
COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
This paper studies how multimodal large language models MLLMs undermine the security guarantees of visual CAPTCHA. We identify the attack surface where an adversary can cheaply automate CAPTCHA solving using off-the-shelf models. We evaluate 7 leading commercial and open-source MLLMs across 18...
CTF Archive: Capture, Curate, Learn Forever
Capture the Flag CTF competitions represent a powerful experiential learning approach within cybersecurity education, blending diverse concepts into interactive challenges. However, the short duration typically 24-48 hours and ephemeral infrastructure of these events often impede sustained...
RECTor: Robust and Efficient Correlation Attack on Tor
Tor is a widely used anonymity network that conceals user identities by routing traffic through encrypted relays, yet it remains vulnerable to traffic correlation attacks that deanonymize users by matching patterns in ingress and egress traffic. However, existing correlation methods suffer from t...
Identification of Malicious Posts on the Dark Web Using Supervised Machine Learning
Given the constant growth and increasing sophistication of cyberattacks, cybersecurity can no longer rely solely on traditional defense techniques and tools. Proactive detection of cyber threats has become essential to help security teams identify potential risks and implement effective mitigatio...
Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning
Reinforcement learning RL has achieved remarkable success across diverse domains, enabling autonomous systems to learn and adapt to dynamic environments by optimizing a reward function. However, this reliance on reward signals creates a significant security vulnerability. In this paper, we study ...
An Efficient Privacy-Preserving Intrusion Detection Scheme for UAV Swarm Networks
The rapid proliferation of unmanned aerial vehicles UAVs and their applications in diverse domains, such as surveillance, disaster management, agriculture, and defense, have revolutionized modern technology. While the potential benefits of swarm-based UAV networks are growing significantly, they...