Guidance for preventing, detecting, and hunting for exploitation of the Log4j 2 vulnerability – Microsoft Security Blog

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[Updated 12/27/2021] New capabilities in threat and vulnerability management including a new advanced hunting schema and support for Linux, which requires updating the Microsoft Defender for Linux client; new Microsoft Defender for Containers solution. See complete list of updates.

Microsofts unified threat intelligence team, comprising the Microsoft Threat Intelligence Center (MSTIC), Microsoft 365 Defender Threat Intelligence Team, RiskIQ, and the Microsoft Detection and Response Team (DART), among others, have been tracking threats taking advantage of the remote code execution (RCE) vulnerability in Apache Log4j 2 referred to as Log4Shell.

In this blog:

  1. Remote code execution vulnerability in Log4j 2
  2. Attack vectors and observed activity
  3. Microsoft security solutions help detect and protect against attacks
  4. Indicators of compromise (IoCs)

Remote code execution vulnerability in Log4j 2

The CVE-2021-44228 vulnerability allows unauthenticated remote code execution, and it is triggered when a specially crafted string provided by the attacker through a variety of different input vectors is parsed and processed by the Log4j 2 vulnerable component. Apache disclosed another RCE vulnerability, CVE-2021-45046.

As we continue to investigate the vulnerabilities affecting Log4j 2, we highly recommend applying security patches and updating affected products and services as soon as possible. For technical information on these vulnerabilities and mitigation recommendations, please read the Microsoft Security Response Center blog.

The bulk of attacks that Microsoft has observed at this time have been related to mass scanning by attackers attempting to thumbprint vulnerable systems, as well as scanning by security companies and researchers. An example pattern of attack would appear in a web request log with strings like the following:

An attacker performs an HTTP request against a target system, which generates a log using Log4j 2 that leverages JNDI to perform a request to the attacker-controlled site. The vulnerability then causes the exploited process to reach out to the site and execute the payload. In many observed attacks, the attacker-owned parameter is a DNS logging system, intended to log a request to the site to fingerprint the vulnerable systems.

The specially crafted string that enables execution of this vulnerability can be identified through several components. The string contains jndi, which refers to the Java Naming and Directory Interface. Following this, the protocol, such as ldap, ldaps, rmi, dns, iiop, or http, precedes the attacker domain.

As security teams work to detect the exploitation of the vulnerability, attackers have added obfuscation to these requests to evade detections based on request patterns. Weve seen things like running a lower or upper command within the exploitation string and even more complicated obfuscation attempts, such as the following, that are all trying to bypass string-matching detections:

The vast majority of observed activity has been scanning, but exploitation and post-exploitation activities have also been observed. Based on the nature of the vulnerability, once the attacker has full access and control of an application, they can perform a myriad of objectives. Microsoft has observed activities including installing coin miners, Cobalt Strike to enable credential theft and lateral movement, and exfiltrating data from compromised systems. 

Attack vectors and observed activity

Microsoft has observed multiple threat actors leveraging the CVE-2021-44228 vulnerability in active attacks. Microsoft will continue to monitor threats taking advantage of this vulnerability and provide updates as they become available. To protect against these threats, we recommend that organizations follow the guidance detailed in succeeding sections.

Exploitation continues on non-Microsoft hosted Minecraft servers

Minecraft customers running their own servers are encouraged to deploy the latest Minecraft server update as soon as possible to protect their users. More information can be found here:

Microsoft can confirm public reports of the Khonsari ransomware family being delivered as payload post-exploitation, as discussed by Bitdefender. In Microsoft Defender Antivirus data we have observed a small number of cases of this being launched from compromised Minecraft clients connected to modified Minecraft servers running a vulnerable version of Log4j 2 via the use of a third-party Minecraft mods loader.

In these cases, an adversary sends a malicious in-game message to a vulnerable Minecraft server, which exploits CVE-2021-44228 to retrieve and execute an attacker-hosted payload on both the server and on connected vulnerable clients. We observed exploitation leading to a malicious Java class file that is the Khonsari ransomware, which is then executed in the context of javaw.exe to ransom the device.

While its uncommon for Minecraft to be installed in enterprise networks, we have also observed PowerShell-based reverse shells being dropped to Minecraft client systems via the same malicious message technique, giving an actor full access to a compromised system, which they then use to run Mimikatz to steal credentials. These techniques are typically associated with enterprise compromises with the intent of lateral movement. Microsoft has not observed any follow-on activity from this campaign at this time, indicating that the attacker may be gathering access for later use.

Due to the shifts in the threat landscape, Microsoft reiterates the guidance for Minecraft customers running their own servers to deploy the latest Minecraft server update and for players to exercise caution by only connecting to trusted Minecraft servers.

Nation-state activity

MSTIC has also observed the CVE-2021-44228 vulnerability being used by multiple tracked nation-state activity groups originating from China, Iran, North Korea, and Turkey. This activity ranges from experimentation during development, integration of the vulnerability to in-the-wild payload deployment, and exploitation against targets to achieve the actors objectives.

For example, MSTIC has observed PHOSPHORUS, an Iranian actor that has been deploying ransomware, acquiring and making modifications of the Log4j exploit. We assess that PHOSPHORUS has operationalized these modifications.

In addition, HAFNIUM, a threat actor group operating out of China, has been observed utilizing the vulnerability to attack virtualization infrastructure to extend their typical targeting. In these attacks, HAFNIUM-associated systems were observed using a DNS service typically associated with testing activity to fingerprint systems.

Access brokers associated with ransomware

MSTIC and the Microsoft 365 Defender team have confirmed that multiple tracked activity groups acting as access brokers have begun using the vulnerability to gain initial access to target networks. These access brokers then sell access to these networks to ransomware-as-a-service affiliates. We have observed these groups attempting exploitation on both Linux and Windows systems, which may lead to an increase in human-operated ransomware impact on both of these operating system platforms.

Mass scanning activity continues

The vast majority of traffic observed by Microsoft remains mass scanners by both attackers and security researchers. Microsoft has observed rapid uptake of this vulnerability into existing botnets like Mirai, existing campaigns previously targeting vulnerable Elasticsearch systems to deploy cryptocurrency miners, and activity deploying the Tsunami backdoor to Linux systems. Many of these campaigns are running concurrent scanning and exploitation activities for both Windows and Linux systems, using Base64 commands included in the JDNI:ldap:// request to launch bash commands on Linux and PowerShell on Windows.

Microsoft has also continued to observe malicious activity performing data leakage via the vulnerability without dropping a payload. This attack scenario could be especially impactful against network devices that have SSL termination, where the actor could leak secrets and data.

Ransomware update

Microsoft has not observed significant spikes in ransomware attacks, whether human-operated or commodity. We have previously reported ransomware delivered via modified Minecraft clients and have seen continued exploitation and payload delivery via this mechanism, but these remain to be a small number of cases. As previously discussed, we continue to observe access brokers who are associated with ransomware-as-a-service affiliates including this vulnerability in their initial access toolkit. We have not seen a human-operated ransomware incident involving this vulnerability in our threat data to date.

What Microsoft has seen are non-human-operated and older ransomware payloads which are in limited use being deployed by security researchers and a small number of attackers. In some instances, they appear to be experimenting with deployments via scanning and modified Minecraft servers. As part of these experiments, some ransomware payloads seem to have been deployed to systems that were previously compromised and were originally dropping coin miner payloads.

Additional RAT payloads

Weve observed the dropping of additional remote access toolkits and reverse shells via exploitation of CVE-2021-44228, which actors then use for hands-on-keyboard attacks. In addition to the Cobalt Strike and PowerShell reverse shells seen in earlier reports, weve also seen Meterpreter, Bladabindi, and HabitsRAT. Follow-on activities from these shells have not been observed at this time, but these tools have the ability to steal passwords and move laterally.

This activity is split between a percentage of small-scale campaigns that may be more targeted or related to testing, and the addition of CVE-2021-44428 to existing campaigns that were exploiting vulnerabilities to drop remote access tools. In the HabitsRAT case, the campaign was seen overlapping with infrastructure used in prior campaigns.


The Webtoos malware has DDoS capabilities and persistence mechanisms that could allow an attacker to perform additional activities. As reported by RiskIQ, Microsoft has seen Webtoos being deployed via the vulnerability. Attackers use of this malware or intent is not known at this time, but the campaign and infrastructure have been in use and have been targeting both Linux and Windows systems prior to this vulnerability.

A note on testing services and assumed benign activity

While services such as,, burpsuite, and may be used by IT organizations to profile their own threat footprints, Microsoft encourages including these services in your hunting queries and validating observations of these in environments to ensure they are intentional and legitimate activity.

Microsoft security solutions help detect and protect against attacks

Microsoft 365 Defender

Microsoft 365 Defender coordinates multiple security solutions that detect components of observed attacks taking advantage of this vulnerability, from exploitation attempts to remote code execution and post-exploitation activity.

Diagram of attack chain of threats taking advantage of the Log4j 2 vulnerability and how Microsoft solutions detect attacks

Figure 1. Microsoft 365 Defender solutions protect against related threats

Microsoft 365 Defender customers can click Need help? in the portal to open up a search widget. Customers can key in “Log4j” to search for in-portal resource, check if their network is affected, and work on corresponding actionable items to mitigate them.

Threat and vulnerability management

Threat and vulnerability management capabilities in Microsoft Defender for Endpoint monitor an organizations overall security posture and equip customers with real-time insights into organizational risk through continuous vulnerability discovery, intelligent prioritization, and the ability to seamlessly remediate vulnerabilities.

In the case of the Log4j vulnerability, threat and vulnerability management automatically and seamlessly identifies impacted devices and the associated risk in the environment and significantly reduce time-to-mitigate.

The wide use of Log4j across many suppliers products challenge defender teams to mitigate and address the risks posed by the vulnerabilities (CVE-2021-44228 or CVE-2021-45046).  The threat and vulnerability management capabilities within Microsoft 365 Defender can help identify vulnerable installations. On December 15, we began rolling out updates to provides a consolidated view of the organizational exposure to the Log4j 2 vulnerabilityon the device, software, and vulnerable component level through a range of automated, complementing capabilities. These capabilities are supported on Windows 10, Windows 11, and Windows Server 2008, 2012, and 2016. They are also supported on  Linux, but they require updating the Microsoft Defender for Endpoint Linux client to version 101.52.57 (30.121092.15257.0) or later:

  • Discovery of vulnerable Log4j library components (paths) on devices
  • Discovery of vulnerable installed applications that contain the Log4j library on devices
  • A dedicated Log4j dashboard that provides a consolidated view of various findings across vulnerable devices, vulnerable software, and vulnerable files
  • Introduction of a new schema in advanced hunting, DeviceTvmSoftwareEvidenceBeta, which surfaces file-level findings from the disk and provides the ability to correlate them with additional context in advanced hunting:
| mv-expand DiskPaths
| where DiskPaths contains "log4j"
| project DeviceId, SoftwareName, SoftwareVendor, SoftwareVersion, DiskPaths

To complement this new table, the existing DeviceTvmSoftwareVulnerabilities table in advanced hunting can be used to identify vulnerabilities in installed software on devices:

| where CveId in ("CVE-2021-44228", "CVE-2021-45046")

These new capabilities integrate with the existing threat and vulnerability management experience and are gradually rolling out. As of this writing (12/27/2021), discovery is based on installed application CPEs that are known to be vulnerable to Log4j RCE, as well as the presence of vulnerable Log4j Java Archive (JAR) files. Cases where Log4j is packaged into an Uber-JAR or shaded are currently not discoverable, but coverage for these instances and other packaging methods is in progress. Support for macOS is also in progress and will roll out soon.

Screenshot of Threat and Vulnerability Management recommendation

Figure 2. Threat and Vulnerability recommendation Attention required: Devices found with vulnerable Apache Log4j versions

Screenshot of consolidated vulnerability view for Log4j in Threat and Vulnerability Management

Figure 3. Threat and vulnerability management dedicated CVE-2021-44228 dashboard

Screenshot of threat and vulnerability management showing vulnerable files

Figure 4. Threat and vulnerability management finds exposed paths

Screenshot of threat and vulnerability management showing exposed devices

Figure 5. Threat and vulnerability management finds exposed devices based on vulnerable software and vulnerable files detected on disk

Note: Scan results may take some time to reach full coverage, and the number of discovered devices may be low at first but will grow as the scan reaches more devices. A regularly updated list of vulnerable products can be viewed in the Microsoft 365 Defender portal with matching recommendations. We will continue to review and update this list as new information becomes available.

Through device discovery, unmanaged devices with products and services affected by vulnerability are also surfaced so they can be onboarded and secured.

Screenshot of software inventory in Microsoft Defender for Endpoint

Figure 6. Finding vulnerable applications and devices via software inventory

Microsoft Defender Antivirus

Turn on cloud-delivered protection in Microsoft Defender Antivirus to cover rapidly evolving attacker tools and techniques. Cloud-based machine learning protections block the majority of new and unknown variants. Microsoft Defender Antivirus detects components and behaviors related to this threat as the following detection names:

On Windows:

On Linux:

Microsoft Defender for Endpoint

Users of Microsoft Defender for Endpoint can turn on the following attack surface reduction rule to block or audit some observed activity associated with this threat.

  • Block executable files from running unless they meet a prevalence, age, or trusted list criterion

Due to the broad network exploitation nature of vectors through which this vulnerability can be exploited and the fact that applying mitigations holistically across large environments will take time, we encourage defenders to look for signs of post-exploitation rather than fully relying on prevention. Observed post exploitation activity such as coin mining, lateral movement, and Cobalt Strike are detected with behavior-based detections.

Alerts with the following titles in the Security Center indicate threat activity related to exploitation of the Log4j vulnerability on your network and should be immediately investigated and remediated. These alerts are supported on both Windows and Linux platforms: 

  • Log4j exploitation detected detects known behaviors that attackers perform following successful exploitation of the CVE-2021-44228 vulnerability
  • Log4j exploitation artifacts detected (previously titled Possible exploitation of CVE-2021-44228) detects coin miners, shells, backdoor, and payloads such as Cobalt Strike used by attackers post-exploitation
  • Log4j exploitation network artifacts detected (previously titled Network connection seen in CVE-2021-44228 exploitation) – detects network traffic connecting traffic connecting to an address associated with CVE-2021-44228 scanning or exploitation activity 

The following alerts may indicate exploitation attempts or testing/scanning activity. Microsoft advises customers to investigate with caution, as these alerts dont necessarily indicate successful exploitation:

  • Possible target of Log4j exploitation – detects a possible attempt to exploit the remote code execution vulnerability in the Log4j component of an Apache server in communication received by this device
  • Possible target of Log4j vulnerability scanning  detects a possible attempt to scan for the remote code execution vulnerability in a Log4j component of an Apache server in communication received by this device
  • Possible source of Log4j exploitation  detects a possible attempt to exploit the remote code execution vulnerability in the Log4j component of an Apache server in communication initiated from this device  
  • Possible Log4j exploitation – detects multiple behaviors, including suspicious command launch post-exploitation
  • Possible Log4j exploitation (CVE-2021-44228)  inactive, initially covered several of the above, now replaced with more specific titles
  • Exploitation attempt against Log4j (CVE-2021-44228)this is part of a Microsoft 365 Defender chain event detection triggered in Microsoft Defender for Cloud Apps (formerly Microsoft Cloud Application Security) that detects attempts to exploit the CVE-2021-44228 vulnerability using a specially-crafted JDNI string (such as in the User-Agent) against cloud applications

Screenshot of Microsoft 365 Defender alert

Figure 7. Microsoft 365 Defender alert “Exploitation attempt against Log4j (CVE-2021-4428)”

The following alerts detect activities that have been observed in attacks that utilize at least one of the Log4j vulnerabilities. However, these alerts can also indicate activity that are not related to the vulnerability. We are listing them here, as it is highly recommended that they are triaged and remediated immediately given their severity and the potential that they could be related to Log4j exploitation:

  • Suspicious remote PowerShell execution 
  • Download of file associated with digital currency mining 
  • Process associated with digital currency mining 
  • Cobalt Strike command and control detected 
  • Suspicious network traffic connection to C2 Server 
  • Ongoing hands-on-keyboard attacker activity detected (Cobalt Strike) 

Some of the alerts mentioned above utilize the enhanced network inspection capabilities in Microsoft Defender for Endpoint. These alerts correlate several network and endpoint signals into high-confidence detection of successful exploitation, as well as providing detailed evidence artifacts valuable for triage and investigation of detected activities.

Screenshot of Microsoft Defender for Endpoint alert Log4j exploitation detected

Figure 8. Example detection leveraging network inspection provides details about the Java class returned following successful exploitation

Microsoft 365 Defender advanced hunting queries

To locate possible exploitation activity, run the following queries:

Possible malicious indicators in cloud application events

This query is designed to flag exploitation attempts for cases where the attacker is sending the crafted exploitation string using vectors such as User-Agent, Application or Account name. The hits returned from this query are most likely unsuccessful attempts, however the results can be useful to identity attackers details such as IP address, Payload string, Download URL, etc.

| where Timestamp > datetime("2021-12-09")
| where UserAgent contains "jndi:" 
or AccountDisplayName contains "jndi:"
or Application contains "jndi:"
or AdditionalFields contains "jndi:"
| project ActionType, ActivityType, Application, AccountDisplayName, IPAddress, UserAgent, AdditionalFields

Possible vulnerable applications via Threat and Vulnerability Management

This query looks for possibly vulnerable applications using the affected Log4j component. Triage the results to determine applications and programs that may need to be patched and updated.

| where SoftwareName contains "log4j"
| project DeviceName, SoftwareName, SoftwareVersion

Screenshot of Microsoft 365 Defender advanced hunting

Figure 9. Finding vulnerable software via advanced hunting

Alerts related to Log4j vulnerability

This query looks for alert activity pertaining to the Log4j vulnerability.

| where Title in~('Suspicious script launched',
'Exploitation attempt against Log4j (CVE-2021-44228)',
'Suspicious process executed by a network service',
'Possible target of Log4j exploitation (CVE-2021-44228)',
'Possible target of Log4j exploitation',
'Possible Log4j exploitation',
'Network connection seen in CVE-2021-44228 exploitation',
'Log4j exploitation detected',
'Possible exploitation of CVE-2021-44228',
'Possible target of Log4j vulnerability (CVE-2021-44228) scanning',
'Possible source of Log4j exploitation')

Devices with Log4j vulnerability alerts and additional other alert-related context

This query surfaces devices with Log4j-related alerts and adds additional context from other alerts on the device.  

// Get any devices with Log4j related Alert Activity
let DevicesLog4JAlerts = AlertInfo
| where Title in~('Suspicious script launched',
'Exploitation attempt against Log4j (CVE-2021-44228)',
'Suspicious process executed by a network service',
'Possible target of Log4j exploitation (CVE-2021-44228)',
'Possible target of Log4j exploitation',
'Possible Log4j exploitation',
'Network connection seen in CVE-2021-44228 exploitation',
'Log4j exploitation detected',
'Possible exploitation of CVE-2021-44228',
'Possible target of Log4j vulnerability (CVE-2021-44228) scanning',
'Possible source of Log4j exploitation')
// Join in evidence information
| join AlertEvidence on AlertId
| where DeviceId != ""
| summarize by DeviceId, Title;
// Get additional alert activity for each device
| where DeviceId in(DevicesLog4JAlerts)
// Add additional info
| join kind=leftouter AlertInfo on AlertId
| summarize DeviceAlerts = make_set(Title), AlertIDs = make_set(AlertId) by DeviceId, bin(Timestamp, 1d)

Suspected exploitation of Log4j vulnerability

This query looks for exploitation of the vulnerability using known parameters in the malicious string. It surfaces exploitation but may surface legitimate behavior in some environments.

| where ProcessCommandLine has_all('${jndi') and ProcessCommandLine has_any('ldap', 'ldaps', 'http', 'rmi', 'dns', 'iiop')
//Removing FPs 
| where not(ProcessCommandLine has_any('stackstorm', 'homebrew')) 

Regex to identify malicious exploit string

This query looks for the malicious string needed to exploit this vulnerability.

| where ProcessCommandLine matches regex @'(?i)${jndi:(ldap|http|https|ldaps|dns|rmi|iiop)://(${([a-z]){1,20}:([a-z]){1,20}})?(([a-zA-Z0-9]|-){2,100})?(.([a-zA-Z0-9]|-){2,100})?.([a-zA-Z0-9]|-){2,100}.([a-z0-9]){2,20}(/).*}'     
or InitiatingProcessCommandLine matches regex @'(?i)${jndi:(ldap|http|https|ldaps|dns|rmi|iiop)://(${([a-z]){1,20}:([a-z]){1,20}})?(([a-zA-Z0-9]|-){2,100})?(.([a-zA-Z0-9]|-){2,100})?.([a-zA-Z0-9]|-){2,100}.([a-z0-9]){2,20}(/).*}'

Microsoft Defender for Office 365

To add a layer of protection against exploits that may be delivered via email, Microsoft Defender for Office 365 flags suspicious emails (e.g., emails with the jndi string in email headers or the sender email address field), which are moved to the Junk folder.

We also added the following new alert, which detects attempts to exploit CVE-2021-44228 through email headers:

  • Log4j Exploitation Attempt – Email Headers (CVE-2021-44228)

Screenshot of Microsoft Defender for Office 365 detection of Log4j exploitation attempt using email headers

Figure 10. Sample alert on malicious sender display name found in email correspondence

This detection looks for exploitation attempts in email headers, such as the sender display name, sender, and recipient addresses. The alert covers known obfuscation attempts that have been observed in the wild. If this alert is surfaced, customers are recommended to evaluate the source address, email subject, and file attachments to get more context regarding the authenticity of the email.

Screenshot of sample email with exploit sting in subject

Figure 11. Sample email with malicious sender display name

In addition, this email event as can be surfaced via advanced hunting:

Screenshot of email event surfaced via advanced hunting

Figure 12. Sample email event surfaced via advanced hunting

Microsoft Defender for Cloud

Microsoft Defender for servers

Microsoft Defender for Cloud’s threat detection capabilities have been expanded to surface ensure that exploitation of CVE-2021-44228 in several relevant security alerts:

On Windows:

  • Detected obfuscated command line
  • Suspicious use of PowerShell detected

On Linux:

  • Suspicious file download
  • Possible Cryptocoinminer download detected
  • Process associated with digital currency mining detected
  • Potential crypto coin miner started
  • A history file has been cleared
  • Suspicious Shell Script Detected
  • Suspicious domain name reference
  • Digital currency mining related behavior detected
  • Behavior similar to common Linux bots detected

Organizations using Microsoft Defender for Cloud can use Inventory tools to begin investigations even before theres a CVE number. With Inventory tools, there are two ways to determine exposure across hybrid and multi-cloud resources:

Screenshot of Microsoft Defender for Cloud inventory tools searching by filters

Figure 13. Searching vulnerability assessment findings by CVE identifier

Screenshot of Microsoft Defender for Cloud inventory tools

Figure 14. Searching software inventory by installed applications

Note that this doesn’t replace a search of your codebase. It’s possible that software with integrated Log4j libraries won’t appear in this list, but this is helpful in the initial triage of investigations related to this incident. For more information about how Microsoft Defender for Cloud finds machines affected by CVE-2021-44228, read this tech community post.

Microsoft Defender for Containers

Microsoft Defender for Containers is capable of discovering images affected by the vulnerabilities recently discovered in Log4j 2: CVE-2021-44228, CVE-2021-45046, and CVE-2021-45105. Images are automatically scanned for vulnerabilities in three different use cases: when pushed to an Azure container registry, when pulled from an Azure container registry, and when container images are running on a Kubernetes cluster. Additional information on supported scan triggers and Kubernetes clusters can be found here. 

Log4j binaries are discovered whether they are deployed via a package manager, copied to the image as stand-alone binaries, or included within a JAR Archive (up to one level of nesting). 

We will continue to follow up on any additional developments and will update our detection capabilities if any additional vulnerabilities are reported.

Finding affected images

To find vulnerable images across registries using the Azure portal, navigate to the Microsoft Defender for Cloud service under Azure Portal. Open the Container Registry images should have vulnerability findings resolved recommendation and search findings for the relevant CVEs. 

Screenshot of Microsoft Defender for Containers findings of images with vulnerability

Figure 15. Finding images with the CVE-2021-45046 vulnerability 

Find vulnerable running images on Azure portal [preview] 

To view only vulnerable images that are currently running on a Kubernetes cluster using the Azure portal, navigate to the Microsoft Defender for Cloud service under Azure Portal. Open the Vulnerabilities in running container images should be remediated (powered by Qualys) recommendation and search findings for the relevant CVEs: 

Screenshot of Microsoft Defender for Containers showing vulnerabilities in running container images

Figure 16. Finding running images with the CVE-2021-45046 vulnerability

Note: This recommendation requires clusters to run Microsoft Defender security profile to provide visibility on running images.

Search Azure Resource Graph data 

Azure Resource Graph (ARG) provides instant access to resource information across cloud environments with robust filtering, grouping, and sorting capabilities. It’s a quick and efficient way to query information across Azure subscriptions programmatically or from within the Azure portal. ARG provides another way to query resource data for resources found to be affected by the Log4j vulnerability.

The following query finds resources affected by the Log4j vulnerability across subscriptions. Use the additional data field across all returned results to obtain details on vulnerable resources: 

| where type =~ ""
| extend assessmentKey=extract(@"(?i)providers/Microsoft.Security/assessments/([^/]*)", 1, id), subAssessmentId=tostring(, parentResourceId= extract("(.+)/providers/Microsoft.Security", 1, id)
| extend Props = parse_json(properties)
| extend additionalData = Props.additionalData
| extend cves = additionalData.cve
| where isnotempty(cves) and array_length(cves) > 0
| mv-expand cves
| where tostring(cves) has "CVE-2021-44228" or tostring(cves) has "CVE-2021-45046" or tostring(cves) has "CVE-2021-45105" 

Microsoft Defender for IoT

Microsoft Defender for IoT has released a dedicated threat Intelligence update package for detecting Log4j 2 exploit attempts on the network (example below).  

Screenshot of Microsoft Defender for IoT detection for suspicious activity

Figure 17. Microsoft Defender for IoT alert 

The package is available for download from theMicrosoft Defender for IoT portal(Click Updates, then Download file (MD5: 4fbc673742b9ca51a9721c682f404c41). 

Screenshot of Microsoft Defender for IoT intelligence udpate

Figure 18. Microsoft Defender for IoT sensor threat intelligence update

Microsoft Defender for IoT now pushes new threat intelligence packages to cloud-connected sensors upon release, click here for more information. Starting with sensor version 10.3, users can automatically receive up-to-date threat intelligence packages through Microsoft Defender for IoT.

Working with automatic updates reduces operational effort and ensures greater security. Enable automatic updating on theDefender for IoT portalby onboarding your cloud-connected sensor with the toggle for Automatic Threat Intelligence Updates turned on. For more information about threat intelligence packages in Defender for IoT, please refer to the documentation.

Microsoft Sentinel

A new Microsoft Sentinel solution has been added to the Content Hub that provides a central place to install Sentinel specific content to monitor, detect, and investigate signals related to exploitation of the CVE-2021-44228 vulnerability.

Screenshot of Log4j vulnerability detection solution in Microsoft Sentinel

Figure 19. Log4j Vulnerability Detection solution in Microsoft Sentinel

To deploy this solution, in the Microsoft Sentinel portal, select Content hub (Preview) under Content Management, then search for Log4j in the search bar. Select the Log4j vulnerability detection solution, and click Install. Learn how to centrally discover and deploy Microsoft Sentinel out-of-the-box content and solutions.

Screenshot of Microsoft Sentinel showing rules

Figure 20. Microsoft Sentinel Analytics showing detected Log4j vulnerability

Note: We recommend that you check the solution for updates periodically, as new collateral may be added to this solution given the rapidly evolving situation. This can be verified on the main Content hub page.

Microsoft Sentinel queries

Microsoft Sentinel customers can use the following detection queries to look for this activity:

This hunting query looks for possible attempts to exploit a remote code execution vulnerability in the Log4j component of Apache. Attackers may attempt to launch arbitrary code by passing specific commands to a server, which are then logged and executed by the Log4j component.

This query hunts through EXECVE syslog data generated by AUOMS to find instances of cryptocurrency miners being downloaded. It returns a table of suspicious command lines.

This hunting query looks in Azure Web Application Firewall data to find possible exploitation attempts for CVE-2021-44228 involving Log4j vulnerability.

This hunting query identifies a match across various data feeds for IP IOCs related to the Log4j exploit described in CVE-2021-44228.

This hunting query helps detect post-compromise suspicious shell scripts that attackers use for downloading and executing malicious files. This technique is often used by attackers and was recently used to exploit the vulnerability in Log4j component of Apache to evade detection and stay persistent or for more exploitation in the network.

This query alerts on a positive pattern match by Azure WAF for CVE-2021-44228 Log4j exploitation attempt. If possible, it then decodes the malicious command for further analysis.

This hunting query helps detect suspicious encoded Base64 obfuscated scripts that attackers use to encode payloads for downloading and executing malicious files. This technique is often used by attackers and was recently used to the Log4j vulnerability in order to evade detection and stay persistent in the network.

This query alerts on attempts to terminate processes related to security monitoring. Attackers often try to terminate such processes post-compromise as seen recently to exploit the CVE-2021-44228 vulnerability.

This query uses the Azure Defender Security Nested Recommendations data to find machines vulnerable to Log4j CVE-2021-44228. 

This query uses syslog data to alert on any suspicious manipulation of firewall to evade defenses. Attackers often perform such operations as seen recently to exploit the CVE-2021-44228 vulnerability for C2 communications or exfiltration.

This query uses various log sources having user agent data to look for CVE-2021-44228 exploitation attempt based on user agent pattern.

This hunting query looks for connection to LDAP port to find possible exploitation attempts for CVE-2021-44228.

This query uses syslog data to alert on any attack toolkits associated with massive scanning or exploitation attempts against a known vulnerability

This query uses syslog data to alert on possible artifacts associated with containers running images related to digital cryptocurrency mining.

This query looks for outbound network connections using the LDAP protocol to external IP addresses, where that IP address has not had an LDAP network connection to it in the 14 days preceding the query timeframe. This could indicate someone exploiting a vulnerability such as CVE-2021-44228 to trigger the connection to a malicious LDAP server.

Microsoft Sentinel also provides a CVE-2021-44228 Log4Shell Research Lab Environment for testing the vulnerability:

RiskIQ EASM and Threat Intelligence

View Threat Intelligence on this CVE, including mitigation guidance and IOCs, here. Both Community users and enterprise customers can search within the threat intelligence portal for data about potentially vulnerable components exposed to the Internet. For example, it’s possible to surface all observed instances of Apache or Java, including specific versions. Leverage this method of exploration to aid in understanding the larger Internet exposure, while also filtering down to what may impact you. 

For a more automated method, registered users can view their attack surface to understand tailored findings associated with their organization. Note, you must be registered with a corporate email and the automated attack surface will be limited. Digital Footprint customers can immediately understand what may be vulnerable and act swiftly and resolutely using the Attack Surface Intelligence Dashboard Log4J Insights tab. 

Azure Firewall Premium 

Customers using Azure Firewall Premium have enhanced protection from the Log4j RCE CVE-2021-44228 vulnerability and exploit. Azure Firewall premium IDPS (Intrusion Detection and Prevention System) provides IDPS inspection for all east-west traffic and outbound traffic to internet. The vulnerability rulesets are continuously updated and include CVE-2021-44228 vulnerability for different scenarios including UDP, TCP, HTTP/S protocols since December 10th, 2021. Below screenshot shows all the scenarios which are actively mitigated by Azure Firewall Premium.

Recommendation: Customers are recommended to configure Azure Firewall Premium with both IDPS Alert & Deny mode and TLS inspection enabled for proactive protection against CVE-2021-44228 exploit.

Screenshot of Azure Firewall Premium

Figure 21. Azure Firewall Premium portal

Customers using Azure Firewall Standard can migrate to Premium by following these directions. Customers new to Azure Firewall premium can learn more about Firewall Premium.

Azure Web Application Firewall (WAF)

In response to this threat, Azure Web Application Firewall (WAF) has updated Default Rule Set (DRS) versions 1.0/1.1 available for Azure Front Door global deployments, and OWASP ModSecurity Core Rule Set (CRS) version 3.1 available for Azure Application Gateway V2 regional deployments. We have updated rule 944240 Remote Command Execution under Managed Rules to help in detecting and mitigating this vulnerability by inspecting requests headers, URI, and body.

This rule is already enabled by default in block mode for all existing WAF Default Rule Set (DRS) 1.0/1.1 or OWASP ModSecurity Core Rule Set (CRS) 3.1 configurations. Customers using WAF Managed Rules would have already received enhanced protection for the Log4j 2 vulnerability (CVE-2021-44228); no additional action is needed.

Recommendation: Customers are recommended to enable WAF policy with Default Rule Set 1.0/1.1 on their Front Door deployments, or with OWASP ModSecurity Core Rule Set (CRS) version 3.1 on Application Gateway V2 to immediately enable protection from this threat, if not already enabled. For customers who have already enabled DRS 1.0/1.1 or CRS 3.1, no action is needed. We will continue to monitor threat patterns and modify the above rule in response to emerging attack patterns as required. 

Screenshot of Managed rules in Azure Web Application Firewall

Figure 22. Remote Code Execution rule for Default Rule Set (DRS) versions 1.0/1.1 

Screenshot of OWASP CRS Managed rules in Azure Web App Firewall

Figure 23. Remote Code Execution rule for OWASP ModSecurity Core Rule Set (CRS) version 3.1

Note: The above protection is also available on Default Rule Set (DRS) version 2.0, and and OWASP ModSecurity Core Rule Set (CRS) version 3.2, which is available under preview on Azure Front Door Premium and Azure Application Gateway V2 respectively. Customers using Azure CDN Standard from Microsoft can also turn on the above protection by enabling DRS 1.0. 

More information about Managed Rules and Default Rule Set (DRS) on Web Application Firewall can be found here. More information about Managed Rules and OWASP ModSecurity Core Rule Set (CRS) on Web Application Firewall can be found here.

Indicators of compromise (IOCs)

Microsoft Threat Intelligence Center (MSTIC) has provided a list of IOCs related to this attack and will update them with new indicators as they are discovered: Data/Feeds/Log4j_IOC_List.csv

Microsoft will continue to monitor this dynamic situation and will update this blog as new threat intelligence and detections/mitigations become available.

Revision history

[12/27/2021] New capabilities in threat and vulnerability management including a new advanced hunting schema and support for Linux, which requires updating the Microsoft Defender for Linux client; new Microsoft Defender for Containers solution.

[12/22/2021] Added new protections across Microsoft 365 Defender, including Microsoft Defender for Office 365.

[12/21/2021] Added a note on testing services and assumed benign activity and additional guidance to use the Need help? button in the Microsoft 365 Defender portal.

[12/17/2021] New updates to observed activity, including more information about limited ransomware attacks and additional payloads; additional updates to protections from Microsoft 365 Defender and Azure Web Application Firewall (WAF), and new Microsoft Sentinel queries.

[12/16/2021] New Microsoft Sentinel solution and additional Microsoft Defender for Endpoint detections.

[12/15/2021] Details about ransomware attacks on non-Microsoft hosted Minecraft servers, as well as updates to product guidance, including threat and vulnerability management.

[12/14/2021] New insights about multiple threat actors taking advantage of this vulnerability, including nation-state actors and access brokers linked to ransomware.
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