Detections

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

3,989 detections

KQL Query
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Parth Jamodkar@Morningstar0090
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Detections.ai Community
1 year ago
82133
KQL Query from file: Golden Chickens TerraStealerV2 Malware Detection
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
4045
KQL Query
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
6042
KQL Query from file: BlueAlpha GammaDrop Detection
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
2041
KQL Query from file: Tracking Proton66 Activity with KQL
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
2038
KQL Query
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
2038
KQL Query
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
2038
KQL Query from file: EchoSpoofing
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
3038
KQL Query from file: Hunting AI Recall on Windows 11 24H2
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
2036
KQL Query from file: Hunting VEILDrive C2
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
4030
KQL Query
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
2030
KQL Query
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
3028
This YARA rule detects the ChaosRAT backdoor by identifying specific byte sequences related to its network communication, system information gathering, and file download capabilities. The rule includes three distinct versions of these functionalities, indicating evolution or different variants of the malware. Detection relies on the presence of these unique byte patterns within executable files, specifically ELF files as indicated by the magic byte check.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
1 year ago
0031
Detects DNS query requests to Devtunnels domains. Attackers can abuse that feature to establish a reverse shell or persistence on a machine.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
2039
Detects potential malicious JavaScript obfuscated using the JSFireTruck technique, characterized by the repeated use of characters like [], (), !, and +. This rule looks for the presence of multiple distinct characters from the core JSFireTruck set within web response bodies.
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Robert Fly@robertfly
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Detections.ai Community
1 year ago
1150
Detects potential malicious JavaScript obfuscated using the JSFireTruck technique, specifically looking for the combination of core JSFireTruck characters and checks for document.referrer, often used to target traffic from search engines.
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Robert Fly@robertfly
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Detections.ai Community
1 year ago
0040
Detects network connections to known command and control (C2) domains associated with the 'Banana Squad' threat actor using specific domain patterns and URL paths.
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Robert Fly@robertfly
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Detections.ai Community
1 year ago
0031
Detects potential malicious JavaScript obfuscated using the JSFireTruck technique, specifically looking for the combination of core JSFireTruck characters and checks for document.referrer, often used to target traffic from search engines.
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Robert Fly@robertfly
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Detections.ai Community
1 year ago
1135
Detects network connections to domains used by GrayAlpha (FIN7) for distributing malicious payloads via fake browser/software update pages, specifically targeting the 'cdnXX.click' pattern and '/download.php' endpoint. This activity is associated with the initial access phase, leading to the deployment of loaders like PowerNet or MaskBat.
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Matt Brady@mbrady5299
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Detections.ai Community
1 year ago
0422
Detects network connections to known malicious domains and IPs associated with the Discord Invite Loop Hole campaign, including payload hosting, C2, and data exfiltration via Discord webhooks.
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Robert Fly@robertfly
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Detections.ai Community
1 year ago
0134
Detects renamed Visual Studio Code tunnel execution. Attackers can abuse this functionality to establish a C2 channel
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0023
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