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The code and license were delivered just an hour after payment. Your support is efficient. Thanks a lot! On-the-fly encryption of data provided by your component came very handy. You've got a great product and nice team. Due to the discovery of this exploit being so recent, there are still many servers, both on-premises and within cloud environments, that have yet to be patched.
Like many high severity RCE exploits, thus far, massive scanning activity for CVE has begun on the internet with the intent of seeking out and exploiting unpatched systems. We highly recommend that organizations upgrade to the latest version 2. This version also patches the additional vulnerabilities CVE, found on Dec. We describe a range of examples of activities that could be attempted in the event exploitation is successful, including mass scanning, vulnerable server discovery, information stealing, possible delivery of CobaltStrike and coinmining.
We also include a timeline of recent events relating to Log4j vulnerabilities. A significant number of Java-based applications are using log4j as their logging utility and are vulnerable to this CVE. To the best of our knowledge, at least the following software may be impacted:. Prisma Cloud can detect continuous integration CI , container images and host systems which maintain vulnerable instances of log4j.
Apache log4j 2 is an open source Java-based logging framework, which is leveraged within numerous Java applications around the world. Compared with the original log4j 1.
X release, log4j 2 addressed issues with the previous release and offered a plugin architecture for users. On Aug. Apache log4j 2 is widely used in many popular software applications, such as Apache Struts, ElasticSearch, Redis, Kafka and others. While supplying an easy and flexible user experience, Apache log4j 2 has historically been vulnerable to process and deserialize user inputs. Two previous deserialization vulnerabilities, CVE and CVE, were previously discovered, resulting in code injection and further RCE due to a lack of necessary processing against provided user input data.
The Apache log4j library allows for developers to log various data within their application. In certain circumstances, the data being logged originates from user input. Should this user input contain special characters and be subsequently logged within the context of log4j, the Java method lookup will finally be called to execute the user-defined remote Java class in the LDAP server.
This will in turn lead to RCE on the victim server that uses the vulnerable log4j 2 instance. If we take a closer look, we discover that log4j 2. The official introduction about Lookups is as follows:. Lookups provide a way to add values to the log4j configuration at arbitrary places. They are a particular type of Plugin that implements the StrLookup interface. The normal user can conveniently and flexibly add values to the configuration at arbitrary places with the predesigned format by using this feature.
In detail, when calling the log method in the application, log4j 2. Considering the log content is usually exposed to users and can be easily controlled by the attacker in many applications, once the attacker controls the string as shown in Figure 3 and sets a malicious Java class on an attacker-controlled LDAP server, the lookup method will be used to execute the malicious Java class on the remote LDAP server. The log4j library is a powerful log framework with very flexible features supported.
However, convenient features often involve potential security issues at the same time. Without careful user input filtering and strict input data sanitization, a blind trust of user input may lead to severe security issues. Exploit code for the CVE vulnerability has been made publicly available. Any user input hosted by a Java application using the vulnerable version of log4j 2.
Thus far, widespread scanning is taking place on the internet with the intention of identifying vulnerable instances of log4j. These scans are being made via HTTP and do not appear to be targeting any specific applications.
Many of these requests are leveraging the User-Agent field in hopes of identifying and subsequently exploiting systems on the internet. One such example of these requests is as follows:. Other commands observed during these massive scans include the following, which is attributed to the Kinsing coinminer malware family. To better understand the impact of the recent vulnerabilities in Log4j facing our customers, we analyzed the hits on the Apache Log4j Remote Code Execution Vulnerability threat prevention signature Dec.
Based on our telemetry, we observed 60,, hits that had the associated packet capture that triggered the signature. Figure 7 shows the hits per day, including a large spike in activity Dec. We analyzed the packet captures that triggered the signature and found the exploitation attempts appear in various places within the HTTP requests, primarily the URL and fields within the HTTP request header. Table 1. Since Dec. We determined details about these activities by analyzing the files hosted at the callback URLs used in the exploit attempts — in other words, by investigating what would have happened had the attempts been successful.
The observed activities after exploitation range from simple vulnerable server identification via mass scanning, to the installation of backdoors to exfiltrate sensitive information and to install additional tools, to the installation of coin mining software for financial gain. The cases discussed in this section are by no means exhaustive as we continue to discover additional attacks in our telemetry. Our analysis of the activity involving the Apache Log4j Remote Code Execution Vulnerability signature showed most of the Log4j exploit attempts were related to mass vulnerability scanning.
As you can see, several well-known vulnerability scanning services are represented in this list, such as nessus[. Also, a significant amount of internal scanning was occurring even though we attempted to filter out internal scanning from our analysis.
Table 2. Many inbound exploitation attempts we observed did little more than send an outbound request to notify the issuer of a successful exploitation. For instance, we observed the following callback URLs used in exploit attempts over the course of several days:. The handler mentioned here is really just an asynchronous callback.
For example, if you open up the console in your browser and paste this code:. Callbacks can take a long time to really master as they can be complicated, especially Node callbacks. Hang in there! In future posts, I plan on covering the ins and outs of callbacks in more detail.
For example, how to create Node callbacks in a Node-way: callback error, data. Matt is a full-stack JavaScript developer who loves playing around with Node, front-end frameworks, and educating people about JavaScript. He's based out of Seattle, WA, and has a soft spot in his heart for the aspiring noob. Toggle navigation Code Fellows.
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