Ankit Mehta
@SecvynIndiaTrusted contributorCompletionist
7 followers9,573 downloads10,246 copies160 likes55,560 views
8,655 detections
Filters
Last updated
All Time
Detection languages
5,827
1,081
677
439
436
Categories
2,646
2,040
1,304
944
814
Platforms
5,999
954
874
706
593
Products / Services
2,800
1,372
1,362
725
707
MITRE Techniques
2,087
2,043
1,442
1,092
1,085
CVEs
17
16
15
11
11
IDS Classtypes
250
132
95
68
64
IDS Protocols
405
140
49
36
14
Detects suspicious command-line activity involving utilities that contain 'checksum' or 'hash' in their command line, potentially indicating file integrity checks, malware analysis evasion, or credential dumping attempts. The rule triggers if five or more such commands are executed within an hour by the same account on the same computer.
This rule detects an unusually high number of downloads of files identified as 'octet-stream' or 'executable' from a single IP address within a one-hour window, based on W3CIISLog data. This behavior could indicate various malicious activities, including the distribution of malware, data exfiltration, or the use of a compromised web server for command and control.
This rule detects multiple (3 or more) logon attempts using the 'RunAs' feature (Event ID 4648) for accounts containing 'Admin' or 'SYSTEM' in their username within a one-hour window. This could indicate an adversary attempting to escalate privileges or execute code as a privileged user.
This rule detects the execution of processes where the command line contains keywords commonly associated with credential dumping activities, specifically targeting NTUser.dat, SAM, or SYSTEM files. These files often contain sensitive credential information that attackers attempt to extract.
This rule detects successful network connections to known paste sites like Pastebin or Gist. Adversaries often use these services to host malicious code, exfiltrate data, or for command and control (C2) communications. Monitoring such connections can help identify potential data exfiltration attempts or the download of malicious content.
This rule detects users uploading a high volume of files (50 or more within an hour) to SharePoint or OneDrive. This activity could indicate data exfiltration or unauthorized mass data transfer.
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.
This rule detects devices making a high volume of successful network connections to GitHub's API endpoints (api.github.com or api.releases). A count of 5 or more successful connections within an hour from a single device is considered suspicious and could indicate data exfiltration, automated tooling, or unusual development activity.
This rule detects potential Kerberos Golden Ticket attacks by identifying Kerberos authentication service (AS) request events (EventID 4768) where the ticket encryption type is 0x17 (RC4-HMAC) and the difference between the event generation time and the ticket's start time is greater than one day. This large time difference can indicate a forged ticket with an invalid timestamp, a common characteristic of Golden Tickets. The rule then summarizes these events by target username and computer, flagging instances where three or more such events occur.
This rule detects when a single user principal name (UPN) attempts five or more sign-ins from the same IP address within a one-hour window, and each sign-in is flagged with a 'RiskDetail' other than 'none' but still results in a 'Success' status. This could indicate an attacker attempting to bypass security controls or an account compromise where the attacker is repeatedly trying to access the account from a consistent location, possibly with different credentials or methods, until successful.
Page 762 of 866