Detections

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

711 detections

Detects the creation of specific text files in the AppData directory, which is a known behavior of the Katz Stealer malware after it successfully decrypts and dumps browser master keys.
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R W@shiftyroot
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Detections.ai Community
1 year ago
1134
Detects indicators of compromise (IOCs) associated with the Ducktail Infostealer malware. This malware often targets Facebook Business accounts and exfiltrates data such as browser cookies, cryptocurrency wallet information, and account details.
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Chaitanya B B@mralien
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Detections.ai Community
1 year ago
2231
KQL Query from file: T1555.003 - Credentials from Web Browsers
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Steven Lim@KQLWizard
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SlimKQL
1 year ago
7067
Detects initial execution patterns and stealer activities used by KimJongRAT PE and PowerShell variants, including LNK/HTA execution, certutil decoding, rundll32 execution, and PowerShell-based data collection.
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Berkay Soylu@Hunter
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Hunters
1 year ago
25169
Identifies suspicious access to sensitive browser files by processes commonly used by Lumma Stealer, expanding coverage to include more browsers based on observed configurations.
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Robert Fly@robertfly
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Detections.ai Community
1 year ago
8295
Detects the execution pattern of TerraStealerV2 and TerraLogger where regsvr32.exe loads an OCX file from a user's temporary directory, a known technique used by Golden Chickens.
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Matt Brady@mbrady5299
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Detections.ai Community
1 year ago
3736
Adversaries may acquire credentials from web browsers by reading files specific to the target browser.
Web browsers commonly save credentials such as website usernames and passwords so that they do not need to be entered manually in the future.
Web browsers typically store the credentials in an encrypted format within a credential store.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0019
Detects file access requests to browser credential stores by uncommon processes. Could indicate potential attempt of credential stealing This rule requires heavy baselining before usage.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
1018
Adversaries may acquire credentials from web browsers by reading files specific to the target browser.
Web browsers commonly save credentials such as website usernames and passwords so that they do not need to be entered manually in the future.
Web browsers typically store the credentials in an encrypted format within a credential store.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
2017
Detects commandline keywords indicative of potential usge of the tool WinPwn. A tool for Windows and Active Directory reconnaissance and exploitation.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
1011
Detects the execution of WebBrowserPassView.exe. A password recovery tool that reveals the passwords stored by the following Web browsers, Internet Explorer (Version 4.0 - 11.0), Mozilla Firefox (All Versions), Google Chrome, Safari, and Opera
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0010
Detects scriptblock text keywords indicative of potential usge of the tool WinPwn. A tool for Windows and Active Directory reconnaissance and exploitation.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
1010
Detects commandline keywords indicative of potential usge of the tool WinPwn. A tool for Windows and Active Directory reconnaissance and exploitation.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
1010
Adversaries may acquire credentials from web browsers by reading files specific to the target browser.
Web browsers commonly save credentials such as website usernames and passwords so that they do not need to be entered manually in the future.
Web browsers typically store the credentials in an encrypted format within a credential store.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
008
Detect usage of the "sqlite" binary to query databases in Chromium-based browsers for potential data stealing.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
005
Adversaries may acquire credentials from web browsers by reading files specific to the target browser.
Web browsers commonly save credentials such as website usernames and passwords so that they do not need to be entered manually in the future.
Web browsers typically store the credentials in an encrypted format within a credential store.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
105
Detect usage of the "sqlite" binary to query databases in Chromium-based browsers for potential data stealing.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
005
Detects the execution of WebBrowserPassView.exe. A password recovery tool that reveals the passwords stored by the following Web browsers, Internet Explorer (Version 4.0 - 11.0), Mozilla Firefox (All Versions), Google Chrome, Safari, and Opera
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
004
StrRAT is a Java-based remote access tool which steals browser credentials, logs keystrokes and take remote control of infected systems. It also has a module to download additional payload onto to the infected machine based on C2 server command. Additionally, this threat also has a ransomware encryption/decryption module which appends .crimson extension.
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0020
This query was originally published in the threat analytics report, Motivated miners.
Doublepulsar is a backdoor developed by the National Security Agency (NSA). First disclosed in 2017, it is now used by many malicious actors. Software patches are available.
The following query detects possible DoublePulsar execution events.
See Detect web server exploitation by DoublePulsar for a query that detects behaviors associated with campaigns that use DoublePulsar.
References:
https://www.microsoft.com/wdsi/threats/malware-encyclopedia-description?Name=Trojan:Win32/DoublePulsar&threatId=-2147239036
https://www.scmagazine.com/home/security-news/cybercrime/doublepulsar-malware-spreading-rapidly-in-the-wild-following-shadow-brokers-dump/
https://support.microsoft.com/help/4013389/title
Azure Sentinel@AzureSentinel
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AzureSentinel
1 year ago
0016
Detects file access requests to browser credential stores by uncommon processes. This could indicate a potential attempt at credential stealing. This rule requires heavy baselining before usage.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
1 year ago
0019
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