AI and the Automobile

Open Arsenal AI and the Autombile Specifications The AI and the Automobile collection brings together multiple specifications that define how AI integrates into modern vehicle systems. Across the set, it treats the automobile as a software-defined platform where intelligence is distributed across...

Program-Level Adversarial Co-Adaptive Self-Play for Robotic Security

Coding agents can adapt robotic software by revising executable programs, but successful responses to an evolving opponent may not remain effective. We present a framework for program-level adversarial co-adaptive self-play in which coding agents generate attacks and defenses from tested opponent...

Adversarial Robustness of Camera-Radar Sensor Fusion for Autonomous Driving

Autonomous driving AD relies on multi-sensor perception to interpret the surrounding environment. However, the robustness of camera--radar fusion under adversarial conditions remains largely unexplored. This paper presents a systematic measurement study of the robustness of camera--radar sensor...

CVE-2026-102913

A security flaw has been discovered in SourceCodester Car Driving School Management System 1.0. Impacted is an unknown function of the file /classes/Master.php?f=saveenrollment. The manipulation results in sql injection. The attack can be executed remotely. The exploit has been released to the...

EUVD-2026-89609

A security flaw has been discovered in SourceCodester Car Driving School Management System 1.0. Impacted is an unknown function of the file /classes/Master.php?f=saveenrollment. The manipulation results in sql injection. The attack can be executed remotely. The exploit has been released to the...

CVE-2026-102913

The SourceCodester Car Driving School Management System 1.0 is vulnerable to a remote SQL injection flaw located within an unknown function of the /classes/Master.php?f=save_enrollment file. An attacker can exploit this flaw remotely to manipulate the database. Public exploits for this vulnerabil...

CVE-2026-102913 SourceCodester Car Driving School Management System Master.php save_enrollment sql injection

A security flaw has been discovered in SourceCodester Car Driving School Management System 1.0. Impacted is an unknown function of the file /classes/Master.php?f=saveenrollment. The manipulation results in sql injection. The attack can be executed remotely. The exploit has been released to the...

CVE-2026-102913 SourceCodester Car Driving School Management System Master.php save_enrollment sql injection

A security flaw has been discovered in SourceCodester Car Driving School Management System 1.0. Impacted is an unknown function of the file /classes/Master.php?f=saveenrollment. The manipulation results in sql injection. The attack can be executed remotely. The exploit has been released to the...

CVE-2026-102913: Improper Neutralization of Special Elements used in an SQL Command

A security flaw has been discovered in SourceCodester Car Driving School Management System 1.0. Impacted is an unknown function of the file /classes/Master.php?f=saveenrollment. The manipulation results in sql injection. The attack can be executed remotely. The exploit has been released to the...

PT-2026-103019

A security flaw has been discovered in SourceCodester Car Driving School Management System 1.0. Impacted is an unknown function of the file /classes/Master.php?f=save enrollment. The manipulation results in sql injection. The attack can be executed remotely. The exploit has been released to the...

Illusion of Depth: Revealing Hidden Stereo Vision Vulnerabilities in Depth Estimation

Stereo cameras are integrated into autonomous systems such as self-driving cars, drones, and robots to offer precise depth estimation in a cost-effective manner compared to LiDAR technology. In this work, we reveal an intrinsic vulnerability in stereo cameras that stems from their pixel sampling...

Malicious code in driving-maroon-toucan (npm)

Source: amazon-inspector 52ce8006ae10635ff970f030ab093c0e447bc015f9526ff64326f8fc82534d16 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js, autopublish.js, autopublish2.js, autopublish3.js designed ...

Malicious code in driving-fuchsia-aardwolf (npm)

Source: amazon-inspector 195415edf48fad08ced9858c0be57e54ecd3dc83576a2ebf6366dbdfe5db8110 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js, autopublish.js, autopublish2.js, autopublish3.js designed ...

Malicious code in driving-emerald-mollusk (npm)

Source: amazon-inspector 14d9acb216b2101a3f2734efce6eda5917a5d03bbb72249047b548019921758e This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js, autopublish.js, autopublish2.js, autopublish3.js designed ...

Malicious code in driving-magenta-wasp (npm)

Source: amazon-inspector 9f1c1389dd784f940f0a09c1146d8f1e760d0540bc09017cd9d7f8da034bb5b4 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js, autopublish.js, autopublish2.js, autopublish3.js designed ...

Malicious code in driving-lavender-crab (npm)

Source: amazon-inspector 07332768c5299a7b927368cf9e91fd2ab6d7f226c21b95a36697ce32503d3ca1 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js, autopublish.js, autopublish2.js, autopublish3.js designed ...

Malicious code in driving-gray-silverfish (npm)

Source: amazon-inspector 54bb8f3e9dde279ed1814194c255e502c0c544950650136e069b73057febd217 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js, autopublish.js, autopublish2.js, autopublish3.js designed ...

Malicious code in driving-map-appearance (npm)

The package driving-map-appearance was found to contain malicious code. --- Credit: OpenSSF source...

AI and the Automobile — Updated!

Open Arsenal AI and the Autombile Specifications The AI and the Automobile collection brings together multiple specifications that define how AI integrates into modern vehicle systems. Across the set, it treats the automobile as a software-defined platform where intelligence is distributed across...

Securing Autonomous Vehicle Systems Via Twin-Aware Federated Reinforcement Learning

Federated reinforcement learning FRL is crucial for enabling collaborative learning across multiple agents without sharing raw data, thereby enhancing privacy and scalability in the decision-making process within dynamic vehicular environments. However, poisoning attacks pose a significant threat...