Detections

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

956 detections

This rule detects an unusually high volume of object close operations (Event ID 4658) by a single user on a single computer within a one-hour window. This activity could indicate various malicious behaviors, including data collection for exfiltration, attempts to delete numerous files, or resource exhaustion attacks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
009
Detects the creation or modification of 'gh-token-monitor.sh', a script identified as part of the Miasma toolkit, used for harvesting developer credentials. This script's presence or alteration on a system indicates potential credential access attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects access to browser profile data outside of authorized browser processes
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
002
Detects access to browser profile data outside of authorized browser processes
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
002
Hunting rule: correlate with additional signals before alerting. Detects recursive collection of office documents into a single archive, common pre-exfil staging.
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Danny Y@zendannyy
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Detection & Hunting Community
4 months ago
000
Detects extraction of network device running configurations
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects an unusually high volume of object close operations (Event ID 4658) by a single user on a single computer within a one-hour window. This activity could indicate various malicious behaviors, including data collection for exfiltration, attempts to delete numerous files, or resource exhaustion attacks.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects attempts to exploit a Local File Inclusion (LFI) vulnerability to read the `/etc/passwd` file on a web server. It specifically looks for HTTP requests where the URI contains the string `/etc/passwd`.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
Detects the execution of 'cg.exe', a secondary compiled Python executable deployed by SilentRunLoader (associated with TA4922) to pack and steal Google Chrome browser data. The detection specifically looks for 'cg.exe' where the initiating process or command line contains 'python'.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
4020
Detects access to credential files through web shell commands
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects attempts to exploit a Local File Inclusion (LFI) vulnerability to read the Windows Security Account Manager (SAM) database. It specifically looks for HTTP requests containing the string "\windows\system32\config\sam" in the URI, which is a common path for the SAM file on Windows systems. Successful exploitation of such a vulnerability could lead to the disclosure of hashed user credentials.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects the creation, modification, or renaming of 'btasc.cfg', a configuration file specifically associated with the JFMBackdoor malware. This file is used to store encrypted configuration data necessary for the backdoor's operation.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
5 months ago
20185
Detects suspicious processes attempting to access the Signal Desktop attachments directory. This behavior indicates potential data collection by post-compromise tooling, such as the InboxSetupPro second-stage tool observed in Nimbus RAT campaigns.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
2010
Detects the creation of 'configA.json' by a Python process, which indicates successful host profiling by KongTuke's ModeloRAT reconnaissance module. This file is typically dropped after the reconnaissance phase to store collected system information.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
30186
Detects file access patterns in the Downloads directory matching cryptocurrency wallet seeds, phrases, and private keys targeted by file grabbers like Amatera. The rule identifies bulk access (more than 3 sensitive files within 5 minutes) to files with specific keywords or extensions commonly associated with crypto wallets.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
5076
Detects unexpected access to PhoneExperiences-*.db files which may contain synchronized SMS and OTP messages. This behavior is associated with the CloudZ RAT and Pheno plugin bypassing SMS-based MFA.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
60237
Detects the creation of Pheno plugin output files (phonelink-<COMPUTERNAME>.txt) in the Microsoft feedback folder. This indicates the Pheno plugin is actively preparing to intercept PC-to-phone synchronization tools for OTP theft.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
40209
Detects unauthorized processes reading or accessing the 'PhoneExperiences' SQLite databases. This behavior may indicate an attempt to steal synchronized SMS messages or One-Time Passwords (OTPs) via the Microsoft Phone Link application, bypassing MFA without needing mobile malware.
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Bryant Smith@flowstate
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Detections.ai Community
6 months ago
00218
Detects unusual processes accessing the RDP Terminal Server Client Cache folder, indicating potential reconnaissance or staging for exfiltration. Attackers target this cache to exfiltrate and reconstruct image fragments of past remote sessions.
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Brandon Rodriguez@BMRodriguez
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Detections.ai Community
6 months ago
141535
Detects unusual processes accessing the RDP Terminal Server Client Cache folder, indicating potential reconnaissance or staging for exfiltration. Attackers target this cache to exfiltrate and reconstruct image fragments of past remote sessions.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
6 months ago
70514
Detects the execution of the TruffleHog secret scanning tool. This tool is often used by attackers to find sensitive information like credentials in various data sources (filesystems, Git repositories, cloud storage, etc.). This rule identifies the process creation of TruffleHog and categorizes the type of scan being performed. It includes exclusions for legitimate CI/CD environments or security scanners.
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Bhojraj Joshi@cybrbhojrajjoshi
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Detections.ai Community
6 months ago
20216
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