Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

4 detections

'Threat actors may use tools such as Curl to download additional files, communicate with C2 infrastructure, or exfiltrate data. This query looks for new files being downloaded using Curl. Curl also has legitimate uses files and hosts should be reviewed to identify potentially malicious activity.
Ref: https://www.microsoft.com/security/blog/2022/07/27/untangling-knotweed-european-private-sector-offensive-actor-using-0-day-exploits/'
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0029
LemonDuck is an actively updated and robust malware primarily known for its botnet and cryptocurrency mining objectives. First discovered in 2019, LemonDuck has since adopted more sophisticated behavior and escalated its operations in 2021. Today, beyond using resources for its traditional bot and mining activities, LemonDuck steals credentials, removes security controls, spreads via emails, moves laterally, and ultimately drops more tools for human-operated activity.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0020
Bazacall uses malicious Excel files to execute payloads on affected devices.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0013
This rule detects the LimeRAT backdoor by identifying specific byte patterns associated with its persistence mechanism, cryptocurrency mining capabilities, downloader functionality, and network communication routines. The rule looks for a combination of these distinct patterns within a file to confirm the presence of LimeRAT.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
3 years ago
0033