341 matches found
Real-World Adversarial Attacks on RF-Based Drone Detectors
Radio frequency RF based systems are increasingly used to detect drones by analyzing their RF signal patterns, converting them into spectrogram images which are processed by object detection models. Existing RF attacks against image based models alter digital features, making over-the-air OTA...
Border Patrol Bets on Small Drones to Expand US Surveillance Reach
Federal records show CBP is moving from testing small drones to making them standard surveillance tools, expanding a network that can follow activity in real time and extend well beyond the border...
Drones to Diplomas: How Russia’s Largest Private University is Linked to a $25M Essay Mill
A sprawling academic cheating network turbocharged by Google Ads that has generated nearly $25 million in revenue has curious ties to a Kremlin-connected oligarch whose Russian university builds drones for Russia's war against Ukraine. The Nerdify homepage. The link between essay mills and Russia...
Unfolding Challenges in Securing and Regulating Unmanned Air Vehicles
Unmanned Aerial Vehicles UAVs or drones are being introduced in a wide range of commercial applications. This has also made them prime targets of attackers who compromise their fundamental security properties, including confidentiality, integrity, and availability. As researchers discover novel...
PT-2025-44320
Name of the Vulnerable Software and Affected Versions SPH Engineering UgCS version 5.13.0 Description UgCS version 5.13.0 is subject to arbitrary code execution. Recommendations At the moment, there is no information about a newer version that contains a fix for this vulnerability...
North Korean Hackers Lure Defense Engineers With Fake Jobs to Steal Drone Secrets
Threat actors with ties to North Korea have been attributed to a new wave of attacks targeting European companies active in the defense industry as part of a long-running campaign known as Operation Dream Job. "Some of these companies are heavily involved in the unmanned aerial vehicle UAV sector...
CVE-2025-41108
The communication protocol implemented in Ghost Robotics Vision 60 v0.27.2 could allow an attacker to send commands to the robot from an external attack station, impersonating the control station tablet and gaining unauthorised full control of the robot. The absence of encryption and authenticati...
EUVD-2019-13551
Malware in sbrugna...
Apple and Google Pull ICE-Tracking Apps, Bowing to DOJ Pressure
Plus: China sentences scam bosses to death, Europe is ramping up its plans to build a “drone wall” to protect against Russian airspace violations, and more...
EUVD-2024-20056
Malicious code in bioql PyPI...
EUVD-2023-35507
Malicious code in bioql PyPI...
EUVD-2024-31553
Malicious code in bioql PyPI...
EUVD-2025-28900
Malicious code in bioql PyPI...
EUVD-2023-50483
Malicious code in bioql PyPI...
EUVD-2022-44170
Malicious code in bioql PyPI...
EUVD-2023-32758
Malicious code in bioql PyPI...
A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks
The growing integration of drones across commercial, industrial, and civilian domains has introduced significant cybersecurity challenges, particularly due to the susceptibility of drone networks to a wide range of cyberattacks. Existing intrusion detection mechanisms often lack the adaptability,...
CHAI: Command Hijacking against Embodied AI
Embodied Artificial Intelligence AI promises to handle edge cases in robotic vehicle systems where data is scarce by using common-sense reasoning grounded in perception and action to generalize beyond training distributions and adapt to novel real-world situations. These capabilities, however, al...
Police using drones to read your license plates, warns EFF
Police are using drones as flying automated license plate readers ALPRs, according to a report by the Electronic Frontier Foundation EFF. And where there is a market, a provider will jump in. Or was it the other way around this time? Flock Safety, for example, recently told a group of potential l...
A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
The growing integration of drones into civilian, commercial, and defense sectors introduces significant cybersecurity concerns, particularly with the increased risk of network-based intrusions targeting drone communication protocols. Detecting and classifying these intrusions is inherently...