A photoresistor or a light-dependent resistor (LDR) is a resistor that changes its value (resistance) depending on light intensity. More precisely, when light falls upon it, the resistance decreases. It is normally used as a light or dark detector. For example, it may be used in a circuit that turns lights in a room on when it gets dark. Let’s see how we use a photoresistor with ESP32 and MicroPython.
In the previous posts, I described a simple weather station that measures temperature and humidity and sends the measurements to a Google sheet. The system is supposed to be used at home. Therefore, one of the next possible improvements can be measuring air quality in a room. That can be done, for example, by adding an MH-Z19B sensor for measuring CO2 level. We’ll use again a ESP32 board and MicroPython.
Java 14 is going to be released on March 17, 2020. The new version of Java contains one major update to the Java language: new switch expressions. Let’s see how the new switch expressions can be used, what kind of advantages they offer, and what can potentially go wrong. In the end, you are going to find a tricky question about the switch expressions.
(the article has been published on Medium)
Java 14 is going to be released on Mar 17th, 2020. Besides ~2400 bug fixes and small enhancements, the new version of Java contains 16 major enhancements which are also called JEPs (Java Enhancement Proposals).
Let’s take a closer look at the major updates in Java 14: new switch expressions, better NullPointerExceptions, improvements in garbage collection, JFR event streaming and more.
(the article has been published on Medium)
Some time ago I wrote about unsafe deserialization and DoS vulnerabilities I’ve discovered in Apache Olingo. This post describes one more issue in the library. This time, it’s a little flaw in the Olingo client which may allow sending some HTTP requests to arbitrary URLs. The issue has been fixed in the 4.7.1 release.
In case you don’t know, Apache Olingo is a Java library that implements the Open Data Protocol (OData). This protocol allows the creation and consumption of queryable and interoperable RESTful APIs in a simple way.
Some time ago I wrote about one security issue which I found in the library. This post describes another little vulnerability in Apache Olingo. The issue has been fixed in the 4.7.0 release as well.
By the way, Apache Olingo is a Java library that implements the Open Data Protocol (OData). This protocol allows the creation and consumption of queryable and interoperable RESTful APIs in a simple way.
Apache Olingo is a Java library that implements the Open Data Protocol (OData). This protocol allows the creation and consumption of queryable and interoperable RESTful APIs in a simple way.
This post describes a little vulnerability that I recently discovered in Apache Olingo. The issue has been fixed in the 4.7.0 release.
The Java standard library provides the ObjectInputStream class which offers a convenient way for deserializing Java objects. Unfortunately, this way is not safe by default. Using this class may open the doors for Java deserialization attacks which in the worse case may result in arbitrary code execution.
I recently discovered that Spring Security OAuth2 library may be vulnerable to such an attack. Fortunately, there is one strong pre-requisite for a successful attack which may be difficult to meet for an adversary. Nevertheless, I thought it might be better to make the library a bit safer, and the project maintainers kindly accepted the contribution. Here are the details.
Apache POI is a popular Java library for working with Microsoft documents. For example, it allows you reading and writing Microsoft Excel files using Java. When I was recently looking into the library, I noticed a little vulnerability which then became CVE-2019-12415. The issue has been fixed in POI 4.1.1. Below are the details.
New Jackson 2.10 was released on Sep 26th, 2019. Everyone who uses the library and also scans their applications for known vulnerabilities knows about the problem with endless CVEs that have been reporting against Jackson. Let’s try to understand what makes an application vulnerable and how the new version of Jackson can help to prevent deserialization vulnerabilities.
