Splunk Security
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This analytic detects suspicious PHP web application requests using Cisco Secure Firewall Threat Defense Intrusion Events.
The matching network signature identifies a serialized input pattern associated with attempts to exploit PHP request handling.
Investigate the source, targeted application, and related web server activity to determine whether the request was part of PHP2Shell exploitation.
The matching network signature identifies a serialized input pattern associated with attempts to exploit PHP request handling.
Investigate the source, targeted application, and related web server activity to determine whether the request was part of PHP2Shell exploitation.
This analytic detects suspicious PHP web application upload activity using Cisco Secure Firewall Threat Defense Intrusion Events.
The matching network signature identifies a request pattern associated with attempts to exhaust server resources through PHP session handling.
Investigate the source, targeted application, and related web server activity to determine whether the request was part of PHP2Shell exploitation.
The matching network signature identifies a request pattern associated with attempts to exhaust server resources through PHP session handling.
Investigate the source, targeted application, and related web server activity to determine whether the request was part of PHP2Shell exploitation.
This analytic detects HTTP POST requests with a declared body size of at least one megabyte that receive an HTTP 500 response or have no response status recorded.
Large failed or unanswered uploads can indicate attempts to trigger resource exhaustion or exploit vulnerable request handling, including behavior associated with PHP2Shell, but require investigation with related web and application logs.
Large failed or unanswered uploads can indicate attempts to trigger resource exhaustion or exploit vulnerable request handling, including behavior associated with PHP2Shell, but require investigation with related web and application logs.
The following analytic detects the writing of files from known remote access software to disk within the environment.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on file path, file name, and user information.
This activity is significant as adversaries often use remote access tools like AnyDesk, GoToMyPC, LogMeIn, and TeamViewer to maintain unauthorized access.
If confirmed malicious, this could allow attackers to persist in the environment, potentially leading to data exfiltration, further compromise, or complete control over affected systems.
It is best to update both the remote_access_software_usage_exception.csv lookup and the remote_access_software lookup with any known or approved remote access software to reduce false positives and increase coverage.
In order to enhance performance, the detection filters for specific file names extensions / names that are used in the remote_access_software lookup.
If add additional entries, consider updating the search filters to include those file names / extensions as well, if not alread covered.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on file path, file name, and user information.
This activity is significant as adversaries often use remote access tools like AnyDesk, GoToMyPC, LogMeIn, and TeamViewer to maintain unauthorized access.
If confirmed malicious, this could allow attackers to persist in the environment, potentially leading to data exfiltration, further compromise, or complete control over affected systems.
It is best to update both the remote_access_software_usage_exception.csv lookup and the remote_access_software lookup with any known or approved remote access software to reduce false positives and increase coverage.
In order to enhance performance, the detection filters for specific file names extensions / names that are used in the remote_access_software lookup.
If add additional entries, consider updating the search filters to include those file names / extensions as well, if not alread covered.
The following analytic detects HTTP POST requests containing heavily encoded data in the post body, specifically looking for sequences of hex-encoded bytes or base64-encoded strings.
It leverages Zeek HTTP logs to identify POST requests where the body contains eight or more consecutive hex escape sequences or sixteen or more consecutive base64 character groups.
This activity is significant as adversaries commonly use hex or base64 encoding to obfuscate C2 communication, exfiltrate data, or deliver encoded payloads.
It leverages Zeek HTTP logs to identify POST requests where the body contains eight or more consecutive hex escape sequences or sixteen or more consecutive base64 character groups.
This activity is significant as adversaries commonly use hex or base64 encoding to obfuscate C2 communication, exfiltrate data, or deliver encoded payloads.
The following analytic detects the use of the taskkill command in a process command line to terminate several known browser processes, a technique commonly employed by the Braodo stealer malware to steal credentials. By forcefully closing browsers like Chrome, Edge, and Firefox, the malware can unlock files that store sensitive information, such as passwords and login data. This detection focuses on identifying taskkill commands targeting these browsers, signaling malicious intent. Early detection allows security teams to investigate and prevent further credential theft and system compromise.
The following analytic identifies the creation of executables or scripts in suspicious file paths on Windows systems. It leverages the Endpoint.Filesystem dataset to detect files with specific extensions (e.g., .exe, .dll, .ps1) created in uncommon directories (e.g., \windows\fonts\, \users\public\). This activity can be significant as adversaries often use these paths to evade detection and maintain persistence. If confirmed malicious, this behavior could allow attackers to execute unauthorized code, escalate privileges, or persist within the environment, posing a significant security threat.
The following analytic identifies the creation of executables or scripts in temporary file paths on Windows systems. It leverages the Endpoint.Filesystem data set to detect files with specific extensions (e.g., .exe, .dll, .ps1) created in temporary directories (e.g., \windows\Temp\, \AppData\Local\Temp\).
This activity can be significant as adversaries often use these paths to evade detection and maintain persistence.
If confirmed malicious, this behavior could allow attackers to execute unauthorized code, escalate privileges, or persist within the environment, posing a significant security threat.
This activity can be significant as adversaries often use these paths to evade detection and maintain persistence.
If confirmed malicious, this behavior could allow attackers to execute unauthorized code, escalate privileges, or persist within the environment, posing a significant security threat.
This analytic detects outbound network connections from a Python process running from suspicious or non-standard directories to social media related domains.
It leverages Sysmon Event ID 3 to surface this anomalous behavior.
Legitimate Python applications rarely originate from paths such as "C:\Users\Public\", Windows font or debug folders, or the Recycle Bin, making direct outbound calls to social media infrastructure from these locations a strong indicator of compromise.
For example the Braodo Stealer, a Python-based credential-harvesting malware, abuses authenticated browser sessions to query the Meta Graph API and enumerate the victim's Facebook and Meta advertising infrastructure.
It leverages Sysmon Event ID 3 to surface this anomalous behavior.
Legitimate Python applications rarely originate from paths such as "C:\Users\Public\", Windows font or debug folders, or the Recycle Bin, making direct outbound calls to social media infrastructure from these locations a strong indicator of compromise.
For example the Braodo Stealer, a Python-based credential-harvesting malware, abuses authenticated browser sessions to query the Meta Graph API and enumerate the victim's Facebook and Meta advertising infrastructure.
Detects a successful AWS IAM CreateRole event whose trust policy allows sts:AssumeRole by a principal in another AWS account or by a wildcard
principal.
This configuration may provide persistent access if the principal can assume the role. The event alone does not establish that the role was assumed or that its creation was unauthorized.
principal.
This configuration may provide persistent access if the principal can assume the role. The event alone does not establish that the role was assumed or that its creation was unauthorized.
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