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CVE-2025-67445 | Totolink X5000R 9.1.0cu.2415_B20250515 Web Interface /cgi-bin/cstecgi.cgi CONTENT_LENGTH memory corruption
CVE-2025-63409 | GCOM EPON 1GE C00R371V00B01 Setting access control
Accelerating Enterprise Observability Maturity in 2026
Enterprise observability has shifted from experimental tooling to critical infrastructure, with 60% of organizations now at mature levels. But cost surprises, business expectations and gaps in business-impact reporting threaten value realization as leaders push for measurable business outcomes.
How Generative AI and OpenTelemetry Transform Observability
From automated correlation to agentic AI that investigates and remediates incidents, observability is entering a new phase. With generative AI adoption accelerating and OpenTelemetry gaining production ground, integrated intelligence is becoming table stakes.
North Korean Hackers Continue to Target US Healthcare
North Korean-state backed Lazarus Group hackers are using Medusa ransomware in extortion attacks on U.S. healthcare entities despite a 2024 U.S. indictment of Rim Jong Hyok, an alleged member of the Lazarus subgroup Stonefly, according to a new threat intelligence report.
NDSS 2025 – RadSee: See Your Handwriting Through Walls Using FMCW Rada
Authors, Creators & Presenters: Shichen Zhang (Michigan State University), Qijun Wang (Michigan State University), Maolin Gan (Michigan State University), Zhichao Cao (Michigan State University), Huacheng Zeng (Michigan State University)
PAPER
RadSee: See Your Handwriting Through Walls Using FMCW Radar
This paper aims to design and implement a radio device capable of detecting a person's handwriting through a wall. Although there is extensive research on radio frequency (RF) based human activity recognition, this task is particularly challenging due to the through-wall requirement and the tiny-scale handwriting movements. To address these challenges, we present RadSee---a 6 GHz frequency modulated continuous wave (FMCW) radar system designed for detecting handwriting content behind a wall. RadSee is realized through a joint hardware and software design. On the hardware side, RadSee features a 6 GHz FMCW radar device equipped with two custom-designed, high-gain patch antennas. These two antennas provide a sufficient link power budget, allowing RadSee to "see'' through most walls with a small transmission power. On the software side, RadSee extracts effective phase features corresponding to the writer's hand movements and employs a bidirectional LSTM (BiLSTM) model with an attention mechanism to classify handwriting letters. As a result, RadSee can detect millimeter-level handwriting movements and recognize most letters based on their unique phase patterns. Additionally, it is resilient to interference from other moving objects and in-band radio devices. We have built a prototype of RadSee and evaluated its performance in various scenarios. Extensive experimental results demonstrate that RadSee achieves 75% letter recognition accuracy when victims write 62 random letters, and 87% word recognition accuracy when they write articles.
ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
Our thanks to the Network and Distributed System Security (NDSS) Symposium for publishing their Creators, Authors and Presenter’s superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.
The post NDSS 2025 – RadSee: See Your Handwriting Through Walls Using FMCW Rada appeared first on Security Boulevard.
CVE-2025-69985 | FUXA up to 1.2.8 server/api/jwt-helper.js improper authentication
CVE-2026-27568 | WWBN AVideo up to 20.x Markdown cross site scripting (GHSA-rcqw-6466-3mv7)
Malicious OpenClaw Skills Used to Trick Users into Manual Password Entry for AMOS Infection
Atomic macOS Stealer (AMOS), a well-known data-theft malware, has taken a sharp turn in how it reaches victims. Instead of hiding inside cracked software downloads as it once did, threat actors now embed it within malicious OpenClaw skills — small add-on packages that extend AI agent capabilities on platforms like OpenClaw. AMOS operates as a […]
The post Malicious OpenClaw Skills Used to Trick Users into Manual Password Entry for AMOS Infection appeared first on Cyber Security News.
CVE-2026-27732 | WWBN AVideo up to 21.x API Endpoint aVideoEncoder.json.php downloadURL server-side request forgery (GHSA-h39h-7cvg-q7j6)
SecWiki News 2026-02-24 Review
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OAuth security guide: Flows, vulnerabilities and best practices
OAuth is a commonly used authorisation framework, that allows websites and web applications to request limited access to a user’s account on another application. Users can grant this limited access to their account, without ever needing to expose their password with the requesting website or application. This is commonly seen with sites that allow you…
The post OAuth security guide: Flows, vulnerabilities and best practices appeared first on Sentrium Security.
The post OAuth security guide: Flows, vulnerabilities and best practices appeared first on Security Boulevard.
AtomSilo Ransomware Returns with New Infrastructure
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Reddit, porn sites fined by UK regulators over children’s safety and privacy
Ofcom and the Information Commissioner's Office respectively fined a US porn company and Reddit for failing to protect children online.
The post Reddit, porn sites fined by UK regulators over children’s safety and privacy appeared first on Security Boulevard.
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