13577 matches found
CVE-2019-13582
An issue was discovered in Marvell 88W8688 Wi-Fi firmware before version p52, as used on Tesla Model S/X vehicles manufactured before March 2018, via the Parrot Faurecia Automotive FC6050W module. A stack overflow could lead to denial of service or arbitrary code execution...
CVE-2019-9680
Some Dahua products have information leakage issues. Attackers can obtain the IP address and device model information of the device by constructing malicious data packets. Affected products include:...
CVE-2019-9977
The renderer process in the entertainment system on Tesla Model 3 vehicles mishandles JIT compilation, which allows attackers to trigger firmware code execution, and display a crafted message to vehicle occupants...
CVE-2019-25019
LimeSurvey before 4.0.0-RC4 allows SQL injection via the participant model...
CVE-2018-20508
CrashFix 1.0.4 has SQL Injection via the Userstatus parameter. This is related to actionIndex in UserController.php, and the protected\models\User.php search function...
CVE-2017-18839
Certain NETGEAR devices are affected by stored XSS. This affects M4300-28G before 12.0.2.15, M4300-52G before 12.0.2.15, M4300-28G-POE+ before 12.0.2.15, M4300-52G-POE+ before 12.0.2.15, M4300-8X8F before 12.0.2.15, M4300-12X12F before 12.0.2.15, M4300-24X24F before 12.0.2.15, M4300-24X before...
CVE-2014-125037
A vulnerability, which was classified as critical, was found in License to Kill. This affects an unknown part of the file models/injury.rb. The manipulation of the argument name leads to sql injection. The patch is named cd11cf174f361c98e9b1b4c281aa7b77f46b5078. It is recommended to apply a patch...
CVE-2018-13367
An information exposure vulnerability in FortiOS 6.2.3, 6.2.0 and below may allow an unauthenticated attacker to gain platform information such as version, models, via parsing a JavaScript file through admin webUI...
CVE-2019-13581
An issue was discovered in Marvell 88W8688 Wi-Fi firmware before version p52, as used on Tesla Model S/X vehicles manufactured before March 2018, via the Parrot Faurecia Automotive FC6050W module. A heap-based buffer overflow allows remote attackers to cause a denial of service or execute arbitra...
CVE-2017-18827
Certain NETGEAR devices are affected by stored XSS. This affects M4300-28G before 12.0.2.15, M4300-52G before 12.0.2.15, M4300-28G-POE+ before 12.0.2.15, M4300-52G-POE+ before 12.0.2.15, M4300-8X8F before 12.0.2.15, M4300-12X12F before 12.0.2.15, M4300-24X24F before 12.0.2.15, M4300-24X before...
CVE-2013-5693
Cross-site scripting XSS vulnerability in X2Engine X2CRM before 3.5 allows remote attackers to inject arbitrary web script or HTML via the model parameter to index.php/admin/editor...
An End-To-End Model for Logits Based Large Language Models Watermarking
The rise of LLMs has increased concerns over source tracing and copyright protection for AIGC, highlighting the need for advanced detection technologies. Passive detection methods usually face high false positives, while active watermarking techniques using logits or sampling manipulation offer...
Ericsson RAN Compute and Site Controller 6610 安全漏洞
Ericsson RAN Compute and Site Controller 6610 is a computer and site controller from Ericsson Sweden. A security vulnerability exists in the Ericsson RAN Compute and Site Controller 6610 that stems from insufficient input validation and could lead to arbitrary code execution...
Dynamic Encryption-Based Cloud Security Model Using Facial Image and Password-Based Key Generation for Multimedia Data
In this cloud-dependent era, various security techniques, such as encryption, steganography, and hybrid approaches, have been utilized in cloud computing to enhance security, maintain enormous storage capacity, and provide ease of access. However, the absence of data type-specific encryption and...
Password Strength Detection Via Machine Learning: Analysis, Modeling, and Evaluation
As network security issues continue gaining prominence, password security has become crucial in safeguarding personal information and network systems. This study first introduces various methods for system password cracking, outlines password defense strategies, and discusses the application of...
Robust LLM Fingerprinting Via Domain-Specific Watermarks
As open-source language models OSMs grow more capable and are widely shared and finetuned, ensuring model provenance, i.e., identifying the origin of a given model instance, has become an increasingly important issue. At the same time, existing backdoor-based model fingerprinting techniques often...
Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models
The widespread adoption of encrypted communication protocols such as HTTPS and TLS has enhanced data privacy but also rendered traditional anomaly detection techniques less effective, as they often rely on inspecting unencrypted payloads. This study aims to develop an interpretable machine...
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
Fine-tuning-as-a-service, while commercially successful for Large Language Model LLM providers, exposes models to harmful fine-tuning attacks. As a widely explored defense paradigm against such attacks, unlearning attempts to remove malicious knowledge from LLMs, thereby essentially preventing th...
ReCopilot: Reverse Engineering Copilot in Binary Analysis
Binary analysis plays a pivotal role in security domains such as malware detection and vulnerability discovery, yet it remains labor-intensive and heavily reliant on expert knowledge. General-purpose large language models LLMs perform well in programming analysis on source code, while...
