81% concerned about ChatGPT security and safety risks, Malwarebytes survey shows

Seven months after ChatGPT burst into our lives, it seems the lustre of the chatbot-that's-going-to-change-everything is starting to fade. A new survey by Malwarebytes exposes deep reservations about ChatGPT, with optimism in startlingly short supply. Of the respondents familiar with ChatGPT: 81%...

Swatting-as-a-Service is a growing and complicated problem to solve

One Telegram channel has been found to be behind a great deal of swatting incidents in the US. Using the anonymity provided by Telegram, caller ID spoofing, and voices generated by Artificial Intelligence AI, a person or group of persons calling themselves Torswats is suspected to be behind dozen...

Real-Time Defense of Multi-Cloud Environments From Malicious Attacks and Threats

Organizations today cannot detect real-time threats at runtime due to the multi-cloud infrastructure, resulting in the possibility of malicious actors exploiting the environment. It is imperative for the modern organization to have a solution to detect advanced run-time threats in real-time to...

New Research: Optimizing DAST Vulnerability Triage with Deep Learning

On November 11th 2022, Rapid7 will for the first time publish and present state-of-the-art machine learning ML research at AISec, the leading venue for AI/ML cybersecurity innovations. Led by Dr. Stuart Millar, Senior Data Scientist, Rapid7's multi-disciplinary ML group has designed a novel deep...

autogluon.multimodal vulnerable to unsafe YAML deserialization

Impact A potential unsafe deserialization issue exists within the autogluon.multimodal module, where YAML files are loaded via yaml.load instead of yaml.safeload. The deserialization of untrusted data may allow an unprivileged third party to cause remote code execution, denial of service, and...

DLS 路径遍历漏洞

DLS is a GUI-based deep learning platform open-sourced by SummaLabs. DLS version 0.1.0 and previous versions have a security vulnerability , the vulnerability stems from Flask sendfile function call incorrectly leads to absolute path traversal...

DeepTraffic - Deep Learning Models For Network Traffic Classification

For more information please read our papers.  Wei Wang's Google Scholar Homepage Wei Wang, Xuewen Zeng, Xiaozhou Ye, Yiqiang Sheng and Ming Zhu,"Malware Traffic Classification Using Convolutional Neural Networks for Representation Learning," in the 31st International Conference on Information...

Huawei MindSpore Community numeric error vulnerability

Huawei MindSpore Community is an open source deep learning framework from Huawei China.A numerical error vulnerability exists in versions prior to Huawei MindSpore Community 1.3.0, which stems from the fact that when performing the initialization operation of the Split operator, if a dimension in...

NVIDIA DGX 输入验证错误漏洞

NVIDIA DGX is a high-performance workstation for deep learning applications from NVIDIA. An input validation error vulnerability exists in NVIDIA DGX A100, which stems from incorrect validation of the SBIOS array index in IpSecDxe. An attacker could exploit this vulnerability to execute arbitrary...

NVIDIA DGX 缓冲区错误漏洞

NVIDIA DGX is a high-performance workstation for deep learning applications from NVIDIA. The NVIDIA DGX A100 suffers from a buffer error vulnerability that originates from accessing an uninitialized pointer to SBIOS in Ofbd. An attacker could exploit this vulnerability to execute arbitrary code o...

Security Tool Guts: How Much Should Customers See?

Many cybersecurity tools use engines that calculate risk for events in customer environments. The accuracy of these risk engines is a major concern for customers, since it determines whether an attack is detected or not. Therefore, organizations often request visibility into how a risk engine...

Combing through the fuzz: Using fuzzy hashing and deep learning to counter malware detection evasion techniques

Today’s cybersecurity threats continue to find ways to fly and stay under the radar. Cybercriminals use polymorphic malware because a slight change in the binary code or script could allow the said threats to avoid detection by traditional antivirus software. Threat actors customize their wares...

Combing through the fuzz: Using fuzzy hashing and deep learning to counter malware detection evasion techniques

Today’s cybersecurity threats continue to find ways to fly and stay under the radar. Cybercriminals use polymorphic malware because a slight change in the binary code or script could allow the said threats to avoid detection by traditional antivirus software. Threat actors customize their wares...

In0ri - Defacement Detection With Deep Learning

In0ri is a defacement detection system utilizing a image-classification convolutional neural network. Introduction When monitoring a website, In0ri will periodically take a screenshot of the website then put it through a preprocessor that will resize the image down to 250x250px and numericalize t...

Microsoft announces recipients of academic grants for AI research on combating phishing

Every day in the ever-changing technology landscape, we see boundaries shift as new ideas challenge the old status quo. This constant shift is observed in the increasingly sophisticated and connected tools, products, and services people and organizations use on a daily basis, but also in the...

Microsoft announces recipients of academic grants for AI research on combating phishing

Every day in the ever-changing technology landscape, we see boundaries shift as new ideas challenge the old status quo. This constant shift is observed in the increasingly sophisticated and connected tools, products, and services people and organizations use on a daily basis, but also in the...

qianjunakasumi kongchuanhujiao 授权问题漏洞

qianjunakasumi kongchuanhujiao is qianjunakasumi an open source application . An online teaching quiz statistics deep learning analytics system . A security vulnerability exists in github.com/kongchuanhujiao/server before version 1.3.21, which stems from an authentication bypass...

Code Injection in jeikeilim/kindle

Description Kindle is an easy model build package for PyTorch. Building a deep learning model became so simple that almost all model can be made by copy and paste from other existing model codes, which is vulnerable to Arbitary Code Execution. Vulnerability Vulnerable to YAML deserialization atta...

Training Transformers for Cyber Security Tasks: A Case Study on Malicious URL Prediction

Highlights Perform a case study on using Transformer models to solve cyber security problems Train a Transformer model to detect malicious URLs under multiple training regimes Compare our model against other deep learning methods, and show it performs on-par with other top-scoring models Identify...

in catalyst-team/catalyst

Description Catalyst is a PyTorch framework for Deep Learning research and development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write another regular train loop. This package was vulnerable to Arbitrary code execution vi...