Five Data Security Controls and Processes you Must Bring to Cloud-native Infrastructures

Too frequently, there are significant misunderstandings in organizations with regard to who has the responsibility to protect cloud-hosted data. In Imperva’s recent report, A Data-Centric Cybersecurity Framework for Digital Transformation, IT analyst and author Richard Stiennon explains what...

Anomaly Detection at Scale Using SQL and Facebook’s Prophet Forecasting Algorithm

Anomaly detection is a very important task. At Imperva we use it for threat hunting, risk analysis, risk mitigation, trends detection and more. In a previous post we showed how it can be done in a simple method by SQL. This time we wanted to use Prophet, which is an algorithm for forecasting time...

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...

The Tripod Foundation of a Database Analytics Solution for Today’s Threat Landscape

In the first and second posts in this series, we explained why traditional approaches are no longer viable to take on today’s threat landscape and showed why internally-generated attacks are so difficult to stop. In this post, we’ll identify the critical elements of a highly effective database...

How Wazuh Can Improve Digital Security for Businesses

2021 was a year peppered by cyberattacks, with numerous data breaches happening. Not only that, but ransomware has also become a prominent player in the hackers' world. Now, more than ever, it's important for enterprises to step up cybersecurity measures. They can do this through several pieces o...

How profiling employee working hours helps to detect security incidents

At the TimeMachine company there are two special old friends Bob and Alice. Bob, as a team manager, usually has a very busy schedule filled with meetings all day long. You can even find him working late into the night trying to catch up on email he received during the day. Alice on the other hand...

Infographic: Bad Bot Sophistication Levels

All bad bots interact with applications in the same way a legitimate user would, making them harder to detect and block. They enable high-speed abuse, misuse, and attacks on your websites, mobile apps, and APIs. They allow bot operators, attackers, unsavory competitors, and fraudsters to perform ...

Anatomy of a Security Super Bowl Dynasty, Part 1: The Defense

Imperva’s Directors of Technology in the Office of the CTO, Brian Anderson and Craig Burlingame, recently conducted an informal education session titled Creating a Security Super Bowl Dynasty. In this presentation, they used examples of how teams create consistent, sustainable success in American...

Simple Trend and Anomaly Detection with SQL

Introduction Have you ever wondered if you can detect highlights based on your data using only your database engine? Well, the answer is yes. Simple trend detection and anomaly detection can be done with SQL. In fact, in many cases it may be enough for your needs, and save you the trouble of usin...

Akamai + Fingerbank: How an open source community can transform security

Isn't it amazing how seemingly simple decisions can have far-reaching effects? When the Inverse team in Montreal took over PacketFence in 2008, it was an open source OS solution. They recognized the inherent value in keeping it as such. In so doing, they didn't just launch a product--they created...

Batea - AI-based, Context-Driven Network Device Ranking

Batea is a context-driven network device ranking framework based on the anomaly detection family of machine learning algorithms. The goal of Batea is to allow security teams to automatically filter interesting network assets in large networks using nmap scan reports. We call those Gold Nuggets. F...

Aura - Python Source Code Auditing And Static Analysis On A Large Scale

Aura is a static analysis framework developed as a response to the ever-increasing threat of malicious packages and vulnerable code published on PyPI. Project goals: provide an automated monitoring system over uploaded packages to PyPI, alert on anomalies that can either indicate an ongoing attac...

Add Security Events to Your Monitoring Tools

Real-time monitoring is important in every organization because it enables stakeholders to understand what is happening at any given time and react quickly. There are a lot of systems and devices we can and should monitor using tools such as application performance monitoring, digital performance...

How the Crypto Challenge as Action Helped a Major Airline Reduce False Positives While Protecting the Customer Experience

Challenges of Bot Detection: Keeping Defenses High Without Triggering False Positives Identifying bots is important and complicated work. Keeping up with ever-changing bot technologies and attack strategies requires deep knowledge and continuous threat research. The outbreak of the COVID-19...

Technical Approaches to Uncovering and Remediating Malicious Activity

Summary This joint advisory is the result of a collaborative research effort by the cybersecurity authorities of five nations: Australia,1 Canada,2 New Zealand,34 the United Kingdom,5 and the United States.6 It highlights technical approaches to uncovering malicious activity and includes mitigati...

CVE-2019-16156

An Improper Neutralization of Input vulnerability in the Anomaly Detection Parameter Name in Fortinet FortiWeb 6.0.5, 6.2.0, and 6.1.1 may allow a remote unauthenticated attacker to perform a Cross Site Scripting attack XSS...

CVE-2019-16156

An Improper Neutralization of Input vulnerability in the Anomaly Detection Parameter Name in Fortinet FortiWeb 6.0.5, 6.2.0, and 6.1.1 may allow a remote unauthenticated attacker to perform a Cross Site Scripting attack XSS...

CVE-2019-16156

An Improper Neutralization of Input vulnerability in the Anomaly Detection Parameter Name in Fortinet FortiWeb 6.0.5, 6.2.0, and 6.1.1 may allow a remote unauthenticated attacker to perform a Cross Site Scripting attack XSS...

XSS vulnerability in the Anomaly Detection Parameter Name

An improper neutralization of input vulnerability in the Anomaly Detection interface of FortiWeb may allow a remote unauthenticated attacker to perform a cross site scripting attack XSS via a parameter of the request...

A View into Top Level Domain (TLD) Abuse

Data science and security research teams in the carrier organization at Akamai process massive volumes of DNS queries every day to detect and track malicious activity. The data is live-streamed from DNS resolvers deployed in diverse service provider networks in every region of the world. Provider...