The vast majority of traffic observed by Microsoft remains mass scanners by both attackers and security researchers. Microsoft has observed rapid uptake of the 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.
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. 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 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.
While services such as interact. As early as January 4, attackers started exploiting the CVE vulnerability in internet-facing systems running VMware Horizon. Our investigation shows that successful intrusions in these campaigns led to the deployment of the NightSky ransomware. Based on our analysis, the attackers are using command and control CnC servers that spoof legitimate domains.
These include service[. Threat and vulnerability management automatically and seamlessly identifies devices affected by the Log4j vulnerabilities and the associated risk in the environment and significantly reduces time-to-mitigate. The threat and vulnerability management capabilities within Microsoft Defender can help identify vulnerable installations.
On December 15, we began rolling out updates to provide a consolidated view of the organizational exposure to the Log4j 2 vulnerabilities—on 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 , , and They are also supported on Linux, but they require updating the Microsoft Defender for Endpoint Linux client to version The updates include the following:. To complement this new table, the existing DeviceTvmSoftwareVulnerabilities table in advanced hunting can be used to identify vulnerabilities in installed software on devices:. These new capabilities integrate with the existing threat and vulnerability management experience and are gradually rolling out.
Cases where Log4j is packaged into an Uber-JAR or shaded are currently not discoverable, but support for discovery of these instances and other packaging methods is in development. Support for macOS is also in progress and will roll out soon. Figure 1. Figure 2.
Threat and vulnerability management dedicated CVE dashboard. Figure 3. Threat and vulnerability management finds exposed paths. Figure 4. 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 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 the vulnerabilities are also surfaced so they can be onboarded and secured. Figure 5.
Finding vulnerable applications and devices via software inventory. These new capabilities provide security teams with the following:. To use this feature, open the Exposed devices tab in the dedicated CVE dashboard and review the Mitigation status column.
Note that it may take a few hours for the updated mitigation status of a device to be reflected. The mitigation will be applied directly via the Microsoft Defender for Endpoint client. To view the mitigation options, click on the Mitigation options button in the Log4j dashboard :.
You can choose to apply the mitigation to all exposed devices or select specific devices for which you would like to apply it. To complete the process and apply the mitigation on devices, click Create mitigation action. Advance hunting can also surface affected software. 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.
With Inventory tools, there are two ways to determine exposure across hybrid and multi-cloud resources:. Figure 9. Searching vulnerability assessment findings by CVE identifier. Figure Searching software inventory by installed applications. For more information about how Microsoft Defender for Cloud finds machines affected by CVE, read this tech community post. 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. 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.
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