Tag: Internet
-
Wie ‘Scam-Assembly-Lines” die Markenpiraterie industrialisieren
Kriminelle im Internet setzen zunehmend auf Künstliche Intelligenz (KI), um automatisch betrügerische Inhalte zu erstellen. Generative KI macht es ihnen leichter, Fälschungen zu produzieren, die von echten Inhalten kaum noch zu unterscheiden sind. First seen on it-daily.net Jump to article: www.it-daily.net/it-sicherheit/cybercrime/scam-assembly-lines-markenpiraterie
-
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…
-
Russian group uses AI to exploit weakly-protected Fortinet firewalls, says Amazon
Tags: access, ai, api, attack, authentication, business, ciso, control, credentials, cybersecurity, data-breach, detection, exploit, firewall, fortinet, group, Internet, linkedin, malicious, mfa, monitoring, network, password, russia, software, threat, tool, vpn, vulnerabilityRecommendations: The Amazon report makes a number of recommendations to network admins with FortiGate devices. They include ensuring device management interfaces aren’t exposed to the internet, or, if they have to be, restricting access to known IP ranges and using a bastion host or out-of-band management network. As basic cybersecurity demands, all default and common…
-
NDSS 2025 Generating API Specifications For Bug Detection Via Specification Propagation Analysis
Session 13B: API Security Authors, Creators & Presenters: Miaoqian Lin (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Kai Chen (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Yi…
-
NDSS 2025 Generating API Parameter Security Rules With LLM For API Misuse Detection
Session 13B: API Security Authors, Creators & Presenters: Jinghua Liu (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Yi Yang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Kai…
-
Connected & Compromised: When IoT Devices Turn Into Threats
Reused passwords, a lack of network segmentation, and poor sanitization processes make the Internet of Things’ attack surfaces more dangerous. First seen on darkreading.com Jump to article: www.darkreading.com/iot/connected-compromised-iot-devices-turn-threats
-
Über 1500 Prozent mehr neue Malware
Der aktuelle Internet Security Report von WatchGuard zeigt einen massiven Anstieg neuartiger Malware im zweiten Halbjahr 2025. Besonders auffällig ist die wachsende Fähigkeit der Schadsoftware, klassische Schutzmechanismen zu umgehen. First seen on it-daily.net Jump to article: www.it-daily.net/it-sicherheit/cybercrime/mehr-neue-malware
-
NDSS 2025 The Midas Touch: Triggering The Capability Of LLMs For RM-API Misuse Detection
Session 13B: API Security Authors, Creators & Presenters: Yi Yang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Jinghua Liu (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Kai…
-
NDSS 2025 -DUMPLING: Fine-Grained Differential JavaScript Engine Fuzzing
Session 13A: JavaScript Security Authors, Creators & Presenters: Liam Wachter (EPFL), Julian Gremminger (EPFL), Christian Wressnegger (Karlsruhe Institute of Technology (KIT)), Mathias Payer (EPFL), Flavio Toffalini (EPFL) PAPER DUMPLING: Fine-Grained Differential JavaScript Engine Fuzzing Web browsers are ubiquitous and execute untrusted JavaScript (JS) code. JS engines optimize frequently executed code through just-in-time (JIT) compilation. Subtly…
-
Best Cyber Security Consulting Companies
With rapid technological progress, it is estimated that nearly 200 billion connected devices, ranging from medical equipment and industrial machines to cars, smartphones, and home appliances, will be communicating through the Internet of Things (IoT) and Industrial IoT (IIoT). This massive interconnected ecosystem creates an enormous attack surface for attackers to exploit, disrupt, and infiltrate….…
-
NDSS 2025 NodeMedic-FINE: Automatic Detection And Exploit Synthesis For Node.js Vulnerabilities
Session 13A: JavaScript Security Authors, Creators & Presenters: Darion Cassel (Carnegie Mellon University), Nuno Sabino (IST & CMU), Min-Chien Hsu (Carnegie Mellon University), Ruben Martins (Carnegie Mellon University), Limin Jia (Carnegie Mellon University) PAPER NodeMedic-FINE: Automatic Detection and Exploit Synthesis for Node.js Vulnerabilities The Node.js ecosystem comprises millions of packages written in JavaScript. Many packages…
-
TDL 016 – Speed, Risk, and Responsibility in the Age of AI – Rafael Ramirez
Tags: access, ai, antivirus, automation, awareness, business, ciso, cloud, control, country, cyber, data, defense, detection, dns, firewall, governance, government, hacker, ibm, incident response, intelligence, Internet, law, linkedin, login, mfa, microsoft, network, risk, saas, service, skills, software, startup, strategy, technology, threat, tool, training, update, vulnerability, windows, zero-trustSummary In a recent episode of The Defenders Log, host David Redekop sat down with cyber security expert Rafael Ramirez to navigate the rapidly shifting landscape of AI security. As we move deeper into 2026, the duo explored how artificial intelligence has evolved from simple chatbots into powerful, autonomous “agentic” systems. The Double-Edged Sword of…
-
NDSS 2025 A Comprehensive Study Of Security Risks In Deno And Its Ecosystem
Tags: access, api, attack, conference, control, Internet, network, programming, risk, rust, software, supply-chainSession 13A: JavaScript Security Authors, Creators & Presenters: Abdullah AlHamdan (CISPA Helmholtz Center for Information Security), Cristian-Alexandru Staicu (CISPA Helmholtz Center for Information Security) PAPER Welcome to Jurassic Park: A Comprehensive Study of Security Risks in Deno and its Ecosystem Node.js and its ecosystem npm are notoriously insecure, enabling the proliferation of supply chain attacks.…
-
Leak-Check im Alltag: Wie sich feststellen lässt, ob personenbezogene Daten im Umlauf sind, ohne in Panik zu verfallen
Ein Leak-Check hilft dabei, zu prüfen, ob die Daten einer Person ungewollt von Cyberkriminellen im Internet verbreitet wurden. First seen on tarnkappe.info Jump to article: tarnkappe.info/artikel/gast-artikel/leak-check-im-alltag-wie-sich-feststellen-laesst-ob-personenbezogene-daten-im-umlauf-sind-ohne-in-panik-zu-verfallen-326083.html
-
NDSS 2025 NDSS 2025 BARBIE: Robust Backdoor Detection Based On Latent Separability
Session 12D: ML Backdoors Authors, Creators & Presenters: Hanlei Zhang (Zhejiang University), Yijie Bai (Zhejiang University), Yanjiao Chen (Zhejiang University), Zhongming Ma (Zhejiang University), Wenyuan Xu (Zhejiang University) PAPER BARBIE: Robust Backdoor Detection Based On Latent Separability Backdoor attacks are an essential risk to deep learning model sharing. Fundamentally, backdoored models are different from benign…
-
NDSS 2025 NDSS 2025 BARBIE: Robust Backdoor Detection Based On Latent Separability
Session 12D: ML Backdoors Authors, Creators & Presenters: Hanlei Zhang (Zhejiang University), Yijie Bai (Zhejiang University), Yanjiao Chen (Zhejiang University), Zhongming Ma (Zhejiang University), Wenyuan Xu (Zhejiang University) PAPER BARBIE: Robust Backdoor Detection Based On Latent Separability Backdoor attacks are an essential risk to deep learning model sharing. Fundamentally, backdoored models are different from benign…
-
Connected and Compromised: When IoT Devices Turn Into Threats
Reused passwords, a lack of network segmentation, and poor sanitization processes make the Internet of Things’ attack surfaces more dangerous. First seen on darkreading.com Jump to article: www.darkreading.com/iot/connected-compromised-iot-devices-turn-threats
-
News alert: Link11’s ‘AI Management Dashboard’ makes AI traffic, AI access policies enforceable
FRANKFURT, Feb. 19, 2026, CyberNewswire, Link11 launches its new “AI Management Dashboard”, closing a critical gap in how companies manage AI traffic. Artificial intelligence is fundamentally changing internet traffic. But while many companies are already feeling the… (more”¦) First seen on securityboulevard.com Jump to article: securityboulevard.com/2026/02/news-alert-link11s-ai-management-dashboard-makes-ai-traffic-ai-access-policies-enforceable/
-
News alert: Link11’s ‘AI Management Dashboard’ makes AI traffic, AI access policies enforceable
FRANKFURT, Feb. 19, 2026, CyberNewswire, Link11 launches its new “AI Management Dashboard”, closing a critical gap in how companies manage AI traffic. Artificial intelligence is fundamentally changing internet traffic. But while many companies are already feeling the… (more”¦) First seen on securityboulevard.com Jump to article: securityboulevard.com/2026/02/news-alert-link11s-ai-management-dashboard-makes-ai-traffic-ai-access-policies-enforceable/
-
NDSS 2025 Defending Against Backdoor Attacks On Graph Neural Networks Via Discrepancy Learning
Tags: attack, backdoor, conference, defense, framework, Internet, ml, network, risk, technology, threat, vulnerabilitySession 12D: ML Backdoors Authors, Creators & Presenters: Hao Yu (National University of Defense Technology), Chuan Ma (Chongqing University), Xinhang Wan (National University of Defense Technology), Jun Wang (National University of Defense Technology), Tao Xiang (Chongqing University), Meng Shen (Beijing Institute of Technology, Beijing, China), Xinwang Liu (National University of Defense Technology) PAPER DShield: Defending…
-
AI Under Control: Link11 Launches AI Management Dashboard for Clean Traffic
Frankfurt am Main, Germany, February 19th, 2026, CyberNewswire Link11 launches its new “AI Management Dashboard”, closing a critical gap in how companies manage AI traffic. Artificial intelligence is fundamentally changing internet traffic. But while many companies are already feeling the strain of AI crawlers on their infrastructures, they often lack clarity, reliable data, and operational…
-
AI Under Control: Link11 Launches AI Management Dashboard for Clean Traffic
Frankfurt am Main, Germany, February 19th, 2026, CyberNewswire Link11 launches its new “AI Management Dashboard”, closing a critical gap in how companies manage AI traffic. Artificial intelligence is fundamentally changing internet traffic. But while many companies are already feeling the strain of AI crawlers on their infrastructures, they often lack clarity, reliable data, and operational…
-
AI Under Control: Link11 Launches AI Management Dashboard for Clean Traffic
Frankfurt am Main, Germany, February 19th, 2026, CyberNewswire Link11 launches its new “AI Management Dashboard”, closing a critical gap in how companies manage AI traffic. Artificial intelligence is fundamentally changing internet traffic. But while many companies are already feeling the strain of AI crawlers on their infrastructures, they often lack clarity, reliable data, and operational…
-
Proaktive Bedrohungsaufklärung und einheitlicher Schutz gewinnen angesichts wachsender Komplexität zunehmend an Bedeutung
Mit Blick auf das zweite Halbjahr 2025 verzeichnet Watchguard Technologies im aktuellen Internet-Security-Report einen rapiden Anstieg evasiver und verschlüsselter Malware. Dieser Trend markiert die Notwendigkeit proaktiver und ganzheitlicher Sicherheitsansätze. Basierend auf anonymisierten, aggregierten Bedrohungsinformationen aus Watchguards Netzwerk-, Endpoint- und DNS-Filter-Lösungen macht der Report deutlich, dass sowohl Volumen als auch Raffinesse von Malware-Angriffen steigen. Dabei werden…
-
Explosion in drei Stufen Die Folgen der KI-Disruption
Künstliche Intelligenz treibt den organisatorischen Wandel in einer Weise voran, wie wir es seit dem Aufkommen des Internets nicht mehr gesehen haben. Aber jede Disruption dieser Art bringt auch Warnsignale mit sich. Bei der KI-Disruption blinken sie alle gleichzeitig in der Softwareentwicklung, in der Cyberkriminalität und in der Regulatorik. Das Problem: Wir behandeln jedes […]…
-
Smashing Security podcast #455: Face off: Meta’s Glasses and America’s internet kill switch
Could America turn off Europe’s internet? First seen on grahamcluley.com Jump to article: grahamcluley.com/smashing-security-podcast-455/
-
NDSS 2025 Try to Poison My Deep Learning Data? Nowhere To Hide Your Trajectory Spectrum!
Session 12D: ML Backdoors Authors, Creators & Presenters: Yansong Gao (The University of Western Australia), Huaibing Peng (Nanjing University of Science and Technology), Hua Ma (CSIRO’s Data61), Zhi Zhang (The University of Western Australia), Shuo Wang (Shanghai Jiao Tong University), Rayne Holland (CSIRO’s Data61), Anmin Fu (Nanjing University of Science and Technology), Minhui Xue (CSIRO’s…
-
Passive RFIDs can now stream telemetry data from sensors
To advance the ‘ambient internet of things’ no batteries required First seen on theregister.com Jump to article: www.theregister.com/2026/02/17/ambient_iot_japan_standard/
-
NDSS 2025 CLIBE: Detecting Dynamic Backdoors In Transformer-based NLP Models
Session 12D: ML Backdoors Authors, Creators & Presenters: Rui Zeng (Zhejiang University), Xi Chen (Zhejiang University), Yuwen Pu (Zhejiang University), Xuhong Zhang (Zhejiang University), Tianyu Du (Zhejiang University), Shouling Ji (Zhejiang University) PAPER CLIBE: Detecting Dynamic Backdoors in Transformer-based NLP Models Backdoors can be injected into NLP models to induce misbehavior when the input text…