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EnemyBot Puts Enterprises in the Crosshairs With Raft of '1-Day' Bugs

EnemyBot DDoS botnet is rapidly weaponizing security bugs disclosed in CMS systems like WordPress plug-ins, Android devices, commercial Web servers, and other enterprise applications.

DARKReading
#vulnerability#web#android#windows#linux#ddos#dos#git#wordpress#php#rce#pdf#botnet#vmware#ssh

An Internet of Things (IoT) botnet dubbed “EnemyBot" is expanding its front lines to target security vulnerabilities in enterprise services — potentially leading to it being a much more virulent threat than it has been, researchers say.

EnemyBot, which is controlled by a threat actor known as Keksec, is a Linux botnet that emerged on the malware scene in late March. It shares source code with two other well-known botnets, Gafgyt (aka Bashlite) and the mighty Mirai, according to a prior analysis from Fortinet. Like those threats, EnemyBot is used to carry out distributed denial-of-service (DDoS) attacks. Other aspects of the code include smaller elements from Qbot and other malware, and some custom development.

While it began life focusing on adding IoT devices and routers to its botnet footprint, EnemyBot has now evolved to add remote code execution (RCE) exploits for a host of popular business applications, including VMware Workspace ONE, Adobe ColdFusion, WordPress sites (via vulnerable plug-ins like Video Synchro PDF), PHP Scriptcase, and others, according to researchers at AT&T Labs.

Researchers discovered that the group is using a mix of recent, so-called “one-day” bugs, as well as older known issues, looking to take advantage in lags in patching.

Keksec is “now targeting IoT devices, web servers, Android devices and content management system (CMS) servers,” according to the firm’s recent report, which notes that the latest version of EnemyBot adds a webscan function containing a total of 24 exploits to attack vulnerabilities of different devices and Web servers and self-propagate.

The enterprise-focused exploits that were recently added include:

  • Log4Shell vulns: CVE-2021-44228, CVE-2021-45046
  • F5 BIG IP devices: CVE-2022-1388
  • Spring Cloud Gateway: CVE-2022-22947
  • TOTOLink A3000RU wireless router: CVE-2022-25075
  • Kramer VIAWare: CVE-2021-35064
  • PHP Scriptcase: No CVE yet assigned
  • Adobe ColdFusion 11: No CVE yet assigned

“The nature of devices and systems targeted through EnemyBot is different than vulnerabilities aimed at corporate datacenters,” Bud Broomhead, CEO at Viakoo, tells Dark Reading. “WordPress installations, Android devices, IoT devices and other targets for EnemyBot are all widely deployed (therefore might be hard to find), are operated by organizations of all sizes, and are often managed by lines of business that lack cybersecurity skills.”

EnemyBot: A Super Soldier?

In addition to the DDoS capabilities, EnemyBot can also receive commands to download and execute new code that could add to its functions or update its vulnerability list, according to the analysis. This means that, worryingly, the malware can adopt new vulnerabilities within days of those issues being discovered, researchers warned, as seen when it added a bug tracked as CVE-2022-22954 affecting VMware Workspace ONE, almost immediately after disclosure.

Sean Malone, CISO at Demandbase, says that given its rapid development, EnemyBot and others like it present a new urgency for enterprise defenders.

“The rapid weaponization of newly released vulnerabilities highlights the need to be able to patch almost instantaneously when new vulnerabilities are identified,” he tells Dark Reading. “We should assume that every piece of software, every application development framework, and every IoT device will have a critical vulnerability identified at some point. Our architectures should be designed to limit the available attack surface, and mitigate the blast radius of a compromised system through defense-in-depth measures.”

That should include adding the ability to profile systems and network traffic to know what normal looks like, and alert when the system activity and network traffic deviates from that baseline, he adds.

“This botnet emphasizes the need for rapid patching of internet facing devices and the risks of running apps in the cloud,” says John Bambenek, principal threat hunter at Netenrich. “This traffic is easily spotted on the wire, but in typical cloud deployments, organizations aren’t able to run network intrusion detection. If organizations aren’t running NIDS or rapidly patching, they are both blind and vulnerable.”

Keksec & EnemyBot’s Future

For its part, Keksec is a well-resourced group that has been around since 2016, making a name for itself by creating various botnets-for-hire. It’s known for exploiting vulnerabilities to invade multiple architectures with polymorphic tools (these can include Linux and Windows payloads, as well as custom Python malware), in order to accomplish everything from DDoS to cryptomining to espionage.

For instance, last year the operators made headlines with the “Simps” botnet, which was built for DDoS attacks on gaming targets. Another of its creations is the HybridMQ-keksec botnet, a Frankenstein-like effort created by combining and modifying the source code of Mirai and Gafgyt, just like EnemyBot.

Keksec is constantly adding to its arsenal, and “has the ability to update and add new capabilities to its arsenal of malware on a daily basis,” the AT&T Labs researchers note. And indeed, with the new ability to compromise enterprise services and devices, EnemyBot could be poised to ramp up the volume of its attacks.

“In addition, the malware base source code can now be found online on GitHub, making it widely accessible,” according to AT&T Labs, whose researchers also note that this won’t be the only new EnemyBot variant to bubble up from Keksec’s laboratory. “The developer of the GitHub page on EnemyBot self-describes as a ‘full time malware dev,’ that is also available for contract work.”

That spells swelling attack volumes, researchers warn.

“Being available through GitHub means that many types of threat actors, from professional cybercriminals to amateurs, will be able to adapt EnemyBot into new and multiple variants,” says Broomhead. “Without question, this is a red-lights-flashing warning sign for organizations to improve their discovery, threat assessment, and remediation capabilities.”

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CVE-2022-21496: Oracle Critical Patch Update Advisory - April 2022

Vulnerability in the Oracle Java SE, Oracle GraalVM Enterprise Edition product of Oracle Java SE (component: JNDI). Supported versions that are affected are Oracle Java SE: 7u331, 8u321, 11.0.14, 17.0.2, 18; Oracle GraalVM Enterprise Edition: 20.3.5, 21.3.1 and 22.0.0.2. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Oracle Java SE, Oracle GraalVM Enterprise Edition. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Java SE, Oracle GraalVM Enterprise Edition accessible data. Note: This vulnerability applies to Java deployments, typically in clients running sandboxed Java Web Start applications or sandboxed Java applets, that load and run untrusted code (e.g., code that comes from the internet) and rely on the Java sandbox for security. This vulnerability can also be exploited by using APIs in the specified Component, e.g., through a web service ...

CVE-2022-22954: VMSA-2022-0011

VMware Workspace ONE Access and Identity Manager contain a remote code execution vulnerability due to server-side template injection. A malicious actor with network access can trigger a server-side template injection that may result in remote code execution.

CVE-2022-22947: CVE-2022-22947 | Security

In spring cloud gateway versions prior to 3.1.1+ and 3.0.7+ , applications are vulnerable to a code injection attack when the Gateway Actuator endpoint is enabled, exposed and unsecured. A remote attacker could make a maliciously crafted request that could allow arbitrary remote execution on the remote host.

CVE-2022-21363: Oracle Critical Patch Update Advisory - January 2022

Vulnerability in the MySQL Connectors product of Oracle MySQL (component: Connector/J). Supported versions that are affected are 8.0.27 and prior. Difficult to exploit vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Connectors. Successful attacks of this vulnerability can result in takeover of MySQL Connectors. CVSS 3.1 Base Score 6.6 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H).

CVE-2022-21363: Oracle Critical Patch Update Advisory - January 2022

Vulnerability in the MySQL Connectors product of Oracle MySQL (component: Connector/J). Supported versions that are affected are 8.0.27 and prior. Difficult to exploit vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Connectors. Successful attacks of this vulnerability can result in takeover of MySQL Connectors. CVSS 3.1 Base Score 6.6 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H).

CVE-2021-44548: Solr™ Security News

An Improper Input Validation vulnerability in DataImportHandler of Apache Solr allows an attacker to provide a Windows UNC path resulting in an SMB network call being made from the Solr host to another host on the network. If the attacker has wider access to the network, this may lead to SMB attacks, which may result in: * The exfiltration of sensitive data such as OS user hashes (NTLM/LM hashes), * In case of misconfigured systems, SMB Relay Attacks which can lead to user impersonation on SMB Shares or, in a worse-case scenario, Remote Code Execution This issue affects all Apache Solr versions prior to 8.11.1. This issue only affects Windows.

CVE-2021-45046: security - CVE-2021-45046: Apache Log4j2 Thread Context Message Pattern and Context Lookup Pattern vulnerable to a denial of service attack

It was found that the fix to address CVE-2021-44228 in Apache Log4j 2.15.0 was incomplete in certain non-default configurations. This could allows attackers with control over Thread Context Map (MDC) input data when the logging configuration uses a non-default Pattern Layout with either a Context Lookup (for example, $${ctx:loginId}) or a Thread Context Map pattern (%X, %mdc, or %MDC) to craft malicious input data using a JNDI Lookup pattern resulting in an information leak and remote code execution in some environments and local code execution in all environments. Log4j 2.16.0 (Java 8) and 2.12.2 (Java 7) fix this issue by removing support for message lookup patterns and disabling JNDI functionality by default.

CVE-2021-44228: Log4j – Apache Log4j Security Vulnerabilities

Apache Log4j2 2.0-beta9 through 2.15.0 (excluding security releases 2.12.2, 2.12.3, and 2.3.1) JNDI features used in configuration, log messages, and parameters do not protect against attacker controlled LDAP and other JNDI related endpoints. An attacker who can control log messages or log message parameters can execute arbitrary code loaded from LDAP servers when message lookup substitution is enabled. From log4j 2.15.0, this behavior has been disabled by default. From version 2.16.0 (along with 2.12.2, 2.12.3, and 2.3.1), this functionality has been completely removed. Note that this vulnerability is specific to log4j-core and does not affect log4net, log4cxx, or other Apache Logging Services projects.

CVE-2021-42117: Release Notes - TopEase Documentation

Insufficient Input Validation in Web Applications operating on Business-DNA Solutions GmbH’s TopEase® Platform Version <= 7.1.27 allows an authenticated remote attacker with Object Modification privileges to insert arbitrary HTML without code execution.

CVE-2021-32002: Cybersecurity Advisory - Secomea

Improper Access Control vulnerability in web service of Secomea SiteManager allows local attacker without credentials to gather network information and configuration of the SiteManager. This issue affects: Secomea SiteManager All versions prior to 9.5 on Hardware.

CVE-2020-35198: Wind River

An issue was discovered in Wind River VxWorks 7. The memory allocator has a possible integer overflow in calculating a memory block's size to be allocated by calloc(). As a result, the actual memory allocated is smaller than the buffer size specified by the arguments, leading to memory corruption.

CVE-2020-35198: Wind River

An issue was discovered in Wind River VxWorks 7. The memory allocator has a possible integer overflow in calculating a memory block's size to be allocated by calloc(). As a result, the actual memory allocated is smaller than the buffer size specified by the arguments, leading to memory corruption.

CVE-2016-6816: Apache Tomcat® - Apache Tomcat 9 vulnerabilities

The code in Apache Tomcat 9.0.0.M1 to 9.0.0.M11, 8.5.0 to 8.5.6, 8.0.0.RC1 to 8.0.38, 7.0.0 to 7.0.72, and 6.0.0 to 6.0.47 that parsed the HTTP request line permitted invalid characters. This could be exploited, in conjunction with a proxy that also permitted the invalid characters but with a different interpretation, to inject data into the HTTP response. By manipulating the HTTP response the attacker could poison a web-cache, perform an XSS attack and/or obtain sensitive information from requests other then their own.

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