Code Injection in uber/petastorm

Description Petastorm is an open source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from datasets in Apache Parquet format. Petastorm supports popular Python-based machine learning ML...

graduation_design

This is a Python script for a web intrusion detection system using machine learning. The script uses the scikit-learn library to implement a supervised learning approach. It collects and preprocesses normal requests and attack payloads, and uses a Support Vector Machine SVM to classify new reques...

Research & Academic

We introduce a novel machine learning approach that uses network flows to generate application-level representation of public and private cloud networks. This will greatly simplify the journey to a micro-segmented network...

How to Increase Your Security Posture with Fewer Resources

With the number of COVID-19 cases increasing, another round of attacks is looming over schools and universities as they move into holiday break and prepare for the spring semester. According to a recent article the Wall Street Journal, there have been “nearly three dozen ransomware attacks agains...

Lessons learned building supervised machine learning into DDoS Protection

Imperva’s Data Scientists trained a machine-learning model to auto-configure DDoS security policies and this blog shares some of the lessons learned along the way. Data scientists consider labeled data the gold standard and, despite having to filter out anomalies, there is an overall tendency to...

Collaborative innovation on display in Microsoft’s insider risk management strategy

The disrupted work environment, in which enterprises were forced to find new ways to enable their workforce to work remotely, changed the landscape for operations as well as security. One of the top areas of concern is managing insider risks, a complex undertaking even before the pandemic, and ev...

SoReL-20M: A Huge Dataset of 20 Million Malware Samples Released Online

Cybersecurity firms Sophos and ReversingLabs on Monday jointly released the first-ever production-scale malware research dataset to be made available to the general public that aims to build effective defenses and drive industry-wide improvements in security detection and response. "SoReL-20M"...

SoReL-20M: A Huge Dataset of 20 Million Malware Samples Released Online

Cybersecurity firms Sophos and ReversingLabs on Monday jointly released the first-ever production-scale malware research dataset to be made available to the general public that aims to build effective defenses and drive industry-wide improvements in security detection and response. "SoReL-20M"...

Google TensorFlow Denial of Service Vulnerability (CNVD-2021-00093)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a denial-of-service vulnerability that stems from the LSTM GRU layer receiving a zero-length input when using a CUDA backend, which results in a check failure. An...

EDR in block mode stops IcedID cold

We are happy to announce the general availability of endpoint detection and response EDR in block mode in Microsoft Defender for Endpoint. EDR in block mode turns EDR detections into real-time blocking of malicious behaviors, malware, and artifacts. It uses Microsoft Defender for Endpoint’s...

EDR in block mode stops IcedID cold

We are happy to announce the general availability of endpoint detection and response EDR in block mode in Microsoft Defender for Endpoint. EDR in block mode turns EDR detections into real-time blocking of malicious behaviors, malware, and artifacts. It uses Microsoft Defender for Endpoint’s...

Deep learning: An explanation and a peek into the future

Deep learning is one of the most advanced forms of machine learning, and is showing new developments in many industries. In this article, well explain the concept and give some examples of the latest and greatest ways its being used. What is deep learning? There have been many attempts at creatin...

Imperva SD-SOC: How Using AI and Time Series Traffic Improves DDoS Mitigation

Much has changed since we first started providing protection against DDoS attacks. Attacks which were once considered huge are now mitigated on a daily basis, attackers are becoming more sophisticated by the day, and mitigation takes a matter of seconds, as opposed to minutes, to kick in. But one...

Scalper-Bots Shake Down Desperate PS5, Xbox Series X Shoppers

It’s a big week for gamers across the globe, with imminent, dueling releases of Xbox Series X and PlayStation PS5. However, an army of retail bots threaten to drive prices up as much as three times the retail price, putting the coveted holiday gifts well out of reach of everyday fans. Retailers...

Nethive-Project - Restructured And Collaborated SIEM And CVSS Infrastructure

The Nethive Project provides a Security Information and Event Management SIEM insfrastructure empowered by CVSS automatic measurements. Features Machine Learning powered SQL Injection Detection Server-side XSS Detection based on Chrome's XSS Auditor Post-exploitation Detection powered by Auditbea...

NVIDIA Patches Critical Bug in High-Performance Servers

NVIDIA released a patch for a critical bug in its high-performance line of DGX servers that could open the door for a remote attacker to take control of and access sensitive data on systems typically operated by governments and Fortune-100 companies. In all, NVIDIA issued nine patches, each fixin...

NVIDIA Patches Critical Bug in High-Performance Servers

NVIDIA released a patch for a critical bug in its high-performance line of DGX servers that could open the door for a remote attacker to take control of and access sensitive data on systems typically operated by governments and Fortune-100 companies. In all, NVIDIA issued nine patches, each fixin...

New Framework Released to Protect Machine Learning Systems From Adversarial Attacks

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning ML systems. Called the Adversarial ML Threat Matrix, the initiative is an attempt to...

New Framework Released to Protect Machine Learning Systems From Adversarial Attacks

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning ML systems. Called the Adversarial ML Threat Matrix, the initiative is an attempt to...

Cyberattacks against machine learning systems are more common than you think

Machine learning ML is making incredible transformations in critical areas such as finance, healthcare, and defense, impacting nearly every aspect of our lives. Many businesses, eager to capitalize on advancements in ML, have not scrutinized the security of their ML systems. Today, along with...