Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,686 detections
Filters
Last updated
All Time
Detection languages
1,342
389
264
219
197
Contributors
620
506
358
209
102
Categories
20,440
11,829
5,874
5,151
4,864
2,686
Platforms
1,168
638
452
382
359
Products / Services
593
445
403
264
229
MITRE Techniques
1,884
787
525
521
510
CVEs
11
5
5
5
3
IDS Classtypes
189
133
34
10
7
IDS Protocols
243
58
33
22
12
Identifies when a Google Workspace user downloads a file from Google Drive after a suspicious login event occurred.
Identifies when a user sends multiple files from Google Drive as an email attachment to a free email domain, which may indicate data exfiltration.
Detects when an Amazon RDS Snapshot is shared publicly.
Identifies when a user downloads multiple files from Google Drive, which may indicate data exfiltration.
Detect a user downloads GCP BigQuery results from multiple tables which might indicate data exfiltration activity.
Identifies when a user shares a file on Google Drive with a free email domain, which may indicate data exfiltration.
Identifies when a user copies multiple files from Google Drive, which may indicate data exfiltration.
Detects modifications to an AWS RDS cluster or its deletion, which may indicate potential data exfiltration attempts, unauthorized access, or exposure of sensitive information. These actions can be performed by an attacker to disrupt services, remove evidence, or facilitate data theft.
This rule detects the GomorrahStealer infostealer by identifying specific bytecode patterns associated with its capabilities. These capabilities include extracting browser autofill data, browser cookies, taking screenshots, gathering antivirus information, and collecting browser history. The rule looks for the presence of all these distinct bytecode signatures within a file to confirm the presence of GomorrahStealer.
This rule detects the creation or modification of email forwarding or redirection rules within Microsoft 365 audit logs. It specifically looks for operations related to 'UpdateInboxRules', 'Set-Mailbox', 'New-InboxRule', and 'Set-InboxRule' that include parameters indicative of forwarding or redirecting emails, such as 'Forward', 'Recipients', 'ForwardingSmtpAddress', 'ForwardingAddress', 'ForwardAsAttachmentTo', 'ForwardTo', 'RedirectTo', and 'RedirectToRecipients'. This activity can be a sign of an attacker attempting to exfiltrate sensitive information from a compromised mailbox or maintain persistence.
This rule detects the execution of a PowerShell script that utilizes the "Send-MailMessage" cmdlet along with the "-Attachments" flag. This combination is a strong indicator of potential data exfiltration via email, where an adversary might be sending sensitive files as attachments through SMTP. The rule aims to identify attempts to steal data by exfiltrating it over an unencrypted network protocol, specifically SMTP, to an alternative network location.
Detects executables located in potentially suspicious directories initiating network connections towards file sharing domains. This behavior can indicate data exfiltration or the staging of malicious tools.
This YARA rule detects the NoodRAT backdoor by identifying specific byte sequences (patterns) associated with its core functionalities. These functionalities include changing the system name, decrypting configuration data, encrypting and sending data, and receiving and decrypting data. The rule specifically targets Linux ELF executables, indicated by the magic byte `0x464C457F` at offset 0.
This YARA rule detects the Daolpu infostealer by identifying specific byte patterns related to its core functionalities. These functionalities include network communication, searching for sensitive files on the system, parsing Firefox configuration files, and collecting browser passwords and cookies. The rule requires all these distinct patterns to be present within a file to trigger a detection, aiming to reduce false positives.
This rule detects when a user performs an eDiscovery search or exports a PST file from such a search within Microsoft 365. PST files often contain sensitive information, including email body content, making this activity a potential indicator of data exfiltration or unauthorized access to sensitive communications.
This rule detects the transfer of sensitive files containing credential data over network shares. It specifically looks for filenames or paths commonly associated with credential dumping, such as 'mimidrv', 'lsass', 'windows\minidump\', 'hiberfil', 'sqldmpr', 'sam', 'ntds.dit', and 'security'. This activity often indicates an attempt to exfiltrate credentials after they have been dumped from a system.
Detects when Microsoft Cloud App Security reports that an OAuth application has downloaded multiple files from Microsoft SharePoint or Microsoft OneDrive in a manner that is unusual for the user. This activity could indicate unauthorized data exfiltration by a compromised or malicious OAuth app.
This rule detects the execution of well-known DNS exfiltration and tunneling tools, specifically 'iodine.exe' and 'dnscat2'. These tools are commonly used by adversaries to establish covert communication channels over DNS, allowing for data exfiltration and command and control activities that might bypass traditional network defenses.
This rule detects the usage of cleartext protocols over a network by monitoring firewall logs for allowed connections to specific destination ports commonly associated with unencrypted services. These ports include HTTP (80, 8080), FTP (21), Telnet (23), and various database or application-specific ports (e.g., 1433, 3306, 1521, 27017, 50000, 11211, 15672, 5900-5904). The rule specifically looks for 'forward' or 'accept' actions, or connections not marked as 'blocked', indicating active cleartext communication. The primary goal is to identify potential credential exposure or sensitive data transmission over insecure channels.
This rule detects when an AWS EC2 snapshot's permissions are modified to allow access from another AWS account. This activity can indicate an attempt to exfiltrate data stored in the snapshot by sharing it with an adversary-controlled account.
Detects suspicious DNS queries that contain a base64 encoded string, indicated by the '==.' pattern. This pattern is often used in DNS exfiltration techniques where data is encoded in base64 and sent via DNS queries to bypass network defenses.
Page 125 of 128