Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects suspicious process execution originating from ManageEngine applications, as observed in attacks attributed to Mint Sandstorm. The rule specifically looks for PowerShell, `lsass` related commands, `wget`, `curl`, script execution, local group modifications, network user additions, registry modifications for Defender or LSA, WMIC for process creation or shadow copy deletion, `vssadmin` for shadow deletion, and `wbadmin` for catalog deletion, all originating from a ManageEngine parent process. It filters out legitimate ManageEngine downloads.
Detects unauthorized access to Signal Desktop's sensitive data files, specifically 'db.sqlite' which stores encrypted messages and 'config.json' which contains the decryption key. An adversary gaining access to both files can decrypt and read sensitive messages without user credentials. The rule currently focuses on the default installation path in AppData\Roaming.
Detects using Rpcping.exe to send a RPC test connection to the target server (-s) and force the NTLM hash to be sent in the process.
CyberSecurityNews has reported a raising case about a new wave of phishing emails masquerading as breach notifications from LastPass.
To summarise, these emails claim that the recipient’s account has been compromised and urge them to download a “security patch” to restore access.
In reality, the attached file is a sophisticated malware loader built to steal credentials and deploy additional malicious payloads onto the victim’s system.
Each phishing message includes a ZIP attachment named 'LastPass_Security_Update' that contains an executable disguised as an MSI installer. When executed, the fake MSI installs a PowerShell script into the user’s AppData folder and schedules it to run via a scheduled task. The script then contacts a remote command-and-control server to download a second-stage payload capable of keylogging, taking screenshots, and moving laterally within corporate networks.
This following KQL Query is based on the IOA where the emails arrive with a .zip file attached and it content is a msi file. Using IOA instead the IOC (LastPass_Security_Update .zip) is more feasible because the malicious actors could easily change the zip name and the detection would not detect the mentioned threat.
To summarise, these emails claim that the recipient’s account has been compromised and urge them to download a “security patch” to restore access.
In reality, the attached file is a sophisticated malware loader built to steal credentials and deploy additional malicious payloads onto the victim’s system.
Each phishing message includes a ZIP attachment named 'LastPass_Security_Update' that contains an executable disguised as an MSI installer. When executed, the fake MSI installs a PowerShell script into the user’s AppData folder and schedules it to run via a scheduled task. The script then contacts a remote command-and-control server to download a second-stage payload capable of keylogging, taking screenshots, and moving laterally within corporate networks.
This following KQL Query is based on the IOA where the emails arrive with a .zip file attached and it content is a msi file. Using IOA instead the IOC (LastPass_Security_Update .zip) is more feasible because the malicious actors could easily change the zip name and the detection would not detect the mentioned threat.
Detects chromium-based browsers starting in headless and debugging mode while pointing to a user profile. This behavior can be indicative of data exfiltration, specifically cookie stealing, or remote control of the browser.
This rule detects attempts to enable auditing of TTY input on Linux systems by monitoring modifications to PAM (Pluggable Authentication Modules) configuration files. Specifically, it looks for changes to '/etc/pam.d/system-auth' and '/etc/pam.d/password-auth' in conjunction with TTY-related audit events. This activity could indicate an adversary attempting to implement keylogging functionality using the pam_tty_audit module to capture user input.
Detects the execution of various compiled Windows binaries from the Impacket toolset. This rule identifies the tools based on their filenames or partial filenames, which could lead to false positives due to legitimate software having similar names or adversaries renaming the tools. Impacket is a collection of Python classes for working with network protocols, often used by adversaries for lateral movement, credential access, and execution.
Detects the execution of the hacktool Rubeus using specific command line flags within PowerShell script block logs. This rule identifies various Kerberos-related attacks such as AS-REPRoasting, Kerberoasting, Pass-the-Ticket, Golden Ticket, and Silver Ticket attacks, as well as credential harvesting and dumping.
Detects the execution of the hacktool Rubeus via PE information or command line parameters. Rubeus is a C# toolset designed for raw Kerberos interaction, often used for credential access, Kerberoasting, and pass-the-ticket attacks.
This rule detects attempts by a process to access the memory of 'svchost.exe' with a specific access right ('0x143a'), which is indicative of a credential dumping attempt. The rule filters out legitimate access from 'services.exe' and 'msiexec.exe' to reduce false positives.
Detects known malicious file hashes associated with malware families (VIDAR, LUMMAC.V2, RADTHIEF, ATOMIC) distributed by the threat actor UNC5142.
The analytic detects the execution of Mimikatz commands via PowerShell by leveraging PowerShell Script Block Logging (EventCode=4104). This method captures and logs the full command sent to PowerShell, allowing for the identification of suspicious activities such as Pass the Ticket, Pass the Hash, and credential dumping. This activity is significant as Mimikatz is a well-known tool used for credential theft and lateral movement. If confirmed malicious, this could lead to unauthorized access, privilege escalation, and potential compromise of sensitive information within the environment.
This rule detects suspicious execution patterns of rundll32.exe. Specifically, it looks for rundll32.exe being called with an obfuscated ordinal number (e.g., #+, #-, #0, #655, #656) which can be used by adversaries to obscure malicious code. Additionally, it identifies rundll32.exe attempting to perform a MiniDump of the 'comsvcs' process, which is a common technique for OS credential dumping.
this query combines Queries in a single Query created from Ayush Anand and published on https://www.securityinbits.com/detection-engineering/lsass-dump-comsvcs-rundll32/
this query combines Queries in a single Query created from Ayush Anand and published on https://www.securityinbits.com/detection-engineering/lsass-dump-comsvcs-rundll32/
Detects attempts to harvest credentials by enabling the RemoteRegistry service or dumping the SAM, SECURITY, or SYSTEM registry hives, which are behaviors associated with the Flax Typhoon APT group.
Detects the execution of TruffleHog, a popular open-source tool used for scanning repositories for secrets and sensitive information, within an AWS environment.
It has been reported to be used by threat actors for credential harvesting. All detections should be investigated to determine if the usage is authorized by security teams or potentially malicious.
It has been reported to be used by threat actors for credential harvesting. All detections should be investigated to determine if the usage is authorized by security teams or potentially malicious.
Detects access to Signal Desktop's sensitive data files: db.sqlite and config.json.
The db.sqlite file in Signal Desktop stores all locally saved messages in an encrypted SQLite database, while the config.json contains the decryption key needed to access that data.
Since the key is stored in plain text, a threat actor who gains access to both files can decrypt and read sensitive messages without needing the users credentials.
Currently the rule only covers the default Signal installation path in AppData\Roaming. Signal Portable installations may use different paths based on user configuration. Additional paths can be added to the selection as needed.
The db.sqlite file in Signal Desktop stores all locally saved messages in an encrypted SQLite database, while the config.json contains the decryption key needed to access that data.
Since the key is stored in plain text, a threat actor who gains access to both files can decrypt and read sensitive messages without needing the users credentials.
Currently the rule only covers the default Signal installation path in AppData\Roaming. Signal Portable installations may use different paths based on user configuration. Additional paths can be added to the selection as needed.
Detects attempts to read the memory of browser processes (Chrome, Edge, Firefox, Brave, Opera). This activity can be indicative of credential dumping or other forms of data exfiltration from web browsers.
This rule detects an unusually high number of outbound network connections originating from the Local Security Authority Subsystem Service (LSASS) process on a Windows machine. LSASS is a critical system process responsible for enforcing security policy on the system, including user authentication, and typically does not initiate a large number of outbound connections. A high count of outbound connections from LSASS could indicate credential dumping activity, where an attacker is exfiltrating harvested credentials, or other malicious activity compromising the LSASS process.
This analytic detects attempts to read LSASS memory, indicative of credential dumping. It leverages Sysmon EventCode 10, filtering for specific access permissions (0x1010 and 0x1410) on the lsass.exe process. This activity is significant because it suggests an attacker is trying to extract credentials from LSASS memory, potentially leading to unauthorized access, data breaches, and compromise of sensitive information. If confirmed malicious, this could enable attackers to escalate privileges, move laterally within the network, or exfiltrate data. Extensive triage is necessary to differentiate between malicious and benign activities.
The analytic detects the creation of a remote thread in the Local Security Authority Subsystem Service (LSASS) process, identified using Sysmon EventID 8 logs. This activity is a strong indicator of credential dumping, a tactic used by adversaries to steal user authentication credentials. Successful exploitation could lead to unauthorized access to sensitive information and potential network compromise. Analysts should investigate to distinguish between legitimate tools and malicious activity.
The analytic identifies non-SYSTEM accounts requesting access to lsass.exe. This detection leverages Sysmon EventCode 10 logs to monitor access attempts to the Local Security Authority Subsystem Service (lsass.exe) by non-SYSTEM users. This activity is significant as it may indicate credential dumping attempts or unauthorized access to sensitive credentials. If confirmed malicious, an attacker could potentially extract credentials from memory, leading to privilege escalation or lateral movement within the network. Immediate investigation is required to determine the legitimacy of the access request and to mitigate any potential threats.
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