Tesla Model S 安全漏洞

The Tesla Model S is an automobile from the American company Tesla. A security vulnerability exists in the Tesla Model S oFono that stems from a failure to validate data length when parsing AT command responses, which could result in a heap buffer overflow...

How to Backdoor the Knowledge Distillation

Knowledge distillation has become a cornerstone in modern machine learning systems, celebrated for its ability to transfer knowledge from a large, complex teacher model to a more efficient student model. Traditionally, this process is regarded as secure, assuming the teacher model is clean. This...

(Pwn2Own) Tesla Model S Iris Modem ql_atfwd Command Injection Code Execution Vulnerability

This vulnerability allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. An attacker must first obtain the ability to execute code on the target system in order to exploit this vulnerability. The specific flaw exists within the qlatfwd process. The issue results fro...

(Pwn2Own) Tesla Model S Iris Modem QCMAP_ConnectionManager Improper Input Validation Sandbox Escape Vulnerability

This vulnerability allows local attackers to escape the sandbox on affected affected Tesla Model S vehicles. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within the...

PT-2025-18325 · Tesla · Tesla Model S

Name of the Vulnerable Software and Affected Versions: Tesla Model S versions affected versions not specified Description: This issue allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. The flaw exists within the parsing of responses from AT commands, resulting fr...

XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs

Large Language Models are fundamental actors in the modern IT landscape dominated by AI solutions. However, security threats associated with them might prevent their reliable adoption in critical application scenarios such as government organizations and medical institutions. For this reason,...

PT-2025-18323 · Tesla · Tesla Model S

Name of the Vulnerable Software and Affected Versions: Tesla Model S affected versions not specified Description: This issue allows network-adjacent attackers to bypass the firewall on the Iris modem in affected Tesla Model S vehicles. The flaw exists within the firewall service due to a failure ...

Tesla Model S 安全漏洞

Tesla Model S is an automobile from the American company Tesla Tesla. A security vulnerability exists in Tesla Model S. The vulnerability stems from a process allowing modification of the interface, which could lead to a network sandbox bypass...

(Pwn2Own) Tesla Model S oFono AT Command Heap-based Buffer Overflow Code Execution Vulnerability

This vulnerability allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. An attacker must first obtain the ability to execute code on the target modem in order to exploit this vulnerability. The specific flaw exists within the parsing of responses from AT commands...

PT-2025-18326 · Tesla · Tesla Model S Iris Modem

Name of the Vulnerable Software and Affected Versions: Tesla Model S Iris Modem affected versions not specified Description: This issue allows local attackers to execute arbitrary code on affected Tesla Model S vehicles. The flaw exists within the ql atfwd process due to the lack of proper...

(Pwn2Own) Tesla Model S Iris Modem Race Condition Firewall Bypass Vulnerability

This vulnerability allows network-adjacent attackers to bypass the firewall on the Iris modem in affected Tesla Model S vehicles. Authentication is not required to exploit this vulnerability. The specific flaw exists within the firewall service. The issue results from a failure to obtain the...

PT-2025-18322 · Tesla · Tesla Model S

Name of the Vulnerable Software and Affected Versions: Tesla Model S versions affected versions not specified Description: This issue allows local attackers to escape the sandbox on affected Tesla Model S vehicles. To exploit this, an attacker must first obtain the ability to execute low-privileg...

PT-2025-18324 · Tesla · Tesla Model S

Name of the Vulnerable Software and Affected Versions: Tesla Model S affected versions not specified Description: This issue allows local attackers to escape the sandbox on affected Tesla Model S vehicles. To exploit this, an attacker must first obtain the ability to execute code within the sandb...

Applying Security Engineering to Prompt Injection Security

This seems like an important advance in LLM security against prompt injection: Google DeepMind has unveiled CaMeL CApabilities for MachinE Learning, a new approach to stopping prompt-injection attacks that abandons the failed strategy of having AI models police themselves. Instead, CaMeL treats...

What privacy? Perplexity wants your data, builds browser to track you and serve ads

AI search service Perplexity AI doesn't just want you using its app—it wants to take over your web browsing experience too. The company is planning to launch its own browser, called Comet, next month. But what does this mean for your privacy? Launched in 2022, Perplexity AI is an AI-powered searc...

Security Bulletin: IBM Spectrum Control is vulnerable to multiple weaknesses related to Node.js

Summary Vulnerabilities in Node.js such as remote attacker bypass security restrictions may affect IBM Spectrum Control. Vulnerability Details CVEID:CVE-2023-30581 DESCRIPTION: Node.js could allow a remote attacker to bypass security restrictions, caused by the use of proto in...

VIMU: Effective Physics-Based Realtime Detection and Recovery against Stealthy Attacks on UAVs

Sensor attacks on robotic vehicles have become pervasive and manipulative. Their latest advancements exploit sensor and detector characteristics to bypass detection. Recent security efforts have leveraged the physics-based model to detect or mitigate sensor attacks. However, these approaches are...

FFCBA: Feature-Based Full-Target Clean-Label Backdoor Attacks

Backdoor attacks pose a significant threat to deep neural networks, as backdoored models would misclassify poisoned samples with specific triggers into target classes while maintaining normal performance on clean samples. Among these, multi-target backdoor attacks can simultaneously target multip...

The Hidden Risks of LLM-Generated Web Application Code: a Security-Centric Evaluation of Code Generation Capabilities in Large Language Models

The rapid advancement of Large Language Models LLMs has enhanced software development processes, minimizing the time and effort required for coding and enhancing developer productivity. However, despite their potential benefits, code generated by LLMs has been shown to generate insecure code in...

Enhancing Leakage Attacks on Searchable Symmetric Encryption Using LLM-Based Synthetic Data Generation

Searchable Symmetric Encryption SSE enables efficient search capabilities over encrypted data, allowing users to maintain privacy while utilizing cloud storage. However, SSE schemes are vulnerable to leakage attacks that exploit access patterns, search frequency, and volume information. Existing...