Splunk Security
@SplunkSecurity35 followers31,487 downloads1,600 copies11 likes89,366 views
2,508 detections
Filters
Last updated
All Time
Detection languages
2,508
Categories
836
532
264
239
208
Platforms
1,611
262
203
142
100
Products / Services
1,231
900
795
217
212
MITRE Techniques
932
664
512
499
306
CVEs
18
13
12
10
9
The following analytic detects the execution of a DNS query by a process to the associated Telegram API domain, which could indicate access via a Telegram bot commonly used by malware for command and control (C2) communications. By monitoring DNS queries related to Telegram's infrastructure, the detection identifies potential attempts to establish covert communication channels between a compromised system and external malicious actors. This behavior is often observed in cyberattacks where Telegram bots are used to receive commands or exfiltrate data, making it a key indicator of suspicious or malicious activity within a network.
The following analytic detects the creation of scheduled tasks on remote Windows endpoints using the at.exe command. This detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on process creation events involving at.exe with remote command-line arguments. Identifying this activity is significant for a SOC as it may indicate lateral movement or remote code execution attempts by an attacker. If confirmed malicious, this activity could lead to unauthorized access, persistence, or execution of malicious code, potentially resulting in data theft or further compromise of the network.
The following analytic identifies suspicious WMI command lines querying for running processes or services. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific process and command-line events. This activity is significant as adversaries often use WMI to gather system information and identify services on compromised machines. If confirmed malicious, this behavior could allow attackers to map out the system, identify critical services, and plan further attacks, potentially leading to privilege escalation or persistence within the environment.
The analytic detects suspicious file downloads by the Telegram application on a Windows system. It leverages Sysmon EventCode 15 to identify instances where Telegram.exe creates files with a Zone.Identifier, indicating a download. This activity is significant as it may indicate an adversary using Telegram to download malicious tools, such as network scanners, for further exploitation. If confirmed malicious, this behavior could lead to network mapping, lateral movement, and potential compromise of additional systems within the network.
The following analytic detects the use of choice.exe in batch files as a delay tactic, a technique observed in SnakeKeylogger malware. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant as it indicates potential time-based evasion techniques used by malware to avoid detection. If confirmed malicious, this behavior could allow attackers to execute code stealthily, delete malicious files, and persist on compromised hosts, making it crucial for SOC analysts to investigate promptly.
This analytic identifies suspicious child processes spawned by `WScript.exe` or `CScript.exe`. Adversaries and malware commonly use these scripting hosts to execute various Living Off the Land Binaries (LOLBINs), other scripts like PowerShell, or to spawn suspended processes for code injection as a defense evasion technique. While this TTP may detect some legitimate scripts that utilize the listed child processes, it serves as a strong indicator that a script might be executing suspicious code.
The analytic detects the creation of scheduled tasks designed to execute commands using native Windows shells like PowerShell, Cmd, Wscript, or Cscript. It leverages Windows Security EventCode 4698 to identify when such tasks are registered. This activity is significant as it may indicate an attempt to establish persistence or execute malicious commands on a system. If confirmed malicious, this could allow an attacker to maintain access, execute arbitrary code, or escalate privileges, posing a severe threat to the environment.
This detection identifies instances where rundll32.exe is used to load a DLL from a temporary directory, such as C:\Users\<User>\AppData\Local\Temp\ or C:\Windows\Temp\. While rundll32.exe is a legitimate Windows utility used to execute functions exported from DLLs, its use to load libraries from temporary locations is highly suspicious. These directories are commonly used by malware and red team tools to stage payloads or execute code in-memory without writing it to more persistent locations. This behavior often indicates defense evasion, initial access, or privilege escalation, especially when the DLL is unsigned, recently written, or executed shortly after download. In normal user workflows, DLLs are not typically loaded from Temp paths, making this a high-fidelity indicator of potentially malicious activity. Monitoring this pattern is essential for detecting threats that attempt to blend in with native system processes while bypassing traditional application controls.
This analytic detects activity associated with "Static Tundra" threat actor abuse of the Cisco Smart Install (SMI) protocol using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify occurrences of Smart Install exploitation and protocol abuse, including denial-of-service and buffer overflow attempts. The detection triggers when multiple Cisco Smart Install-related Snort signatures are observed in a short period from the same source, which is indicative of active exploitation or reconnaissance against Cisco devices that expose SMI.
This analytic identifies the execution of specific Microsoft Office applications (WINPROJ.EXE, FOXPROW.exe, SCHDPLUS.exe) as child processes of Microsoft Excel (EXCEL.EXE). This behavior is considered anomalous because Excel typically spawns internal Office-related processes, and the creation of these particular applications as children is uncommon in normal business workflows. Adversaries may abuse this to execute malicious code, establish persistence, or bypass application controls by leveraging trusted Office applications as initial access or execution vectors. Detecting this relationship helps identify suspicious child processes that could indicate malware execution or command-and-control activity. While some legitimate Office features might trigger this in specific environments, its occurrence generally warrants further investigation to rule out compromise.
Page 91 of 251