Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects attempts by uncommon processes to access sensitive Microsoft Teams files, specifically those containing authentication tokens (leveldb) and cookies. This rule aims to identify potential credential theft or unauthorized access to user sessions within Microsoft Teams.
This rule detects attempts by uncommon applications to access cryptocurrency wallet files. It specifically looks for file access requests to common cryptocurrency wallet paths for Ethereum, Ethereum Classic, Monero, Bitcoin, BitcoinABC, BitcoinSV, DashCore, DogeCoin, Litecoin, Ripple, and Zcash. The rule filters out access by common system processes, applications installed in standard Program Files directories, and Windows Defender components to reduce false positives. This activity could indicate an attempt to steal cryptocurrency wallets.
Detects file access requests to potentially sensitive files hosted on the Windows Sysvol share by applications that are not commonly expected to access these files. This can indicate an attempt to gather credentials or configuration details from Group Policy Objects.
This rule detects attempts by uncommon processes to access sensitive files associated with Chromium-based browsers. These files typically contain user data such as cookies, browsing history, and web data, which could be leveraged for credential access or other malicious activities if exfiltrated. The rule specifically targets file paths related to Chromium's user profile data and filters out access by common system processes and known legitimate applications like Windows Defender to reduce false positives.
Detects file access requests to browser credential stores by uncommon processes. This could indicate a potential attempt at credential stealing. This rule requires heavy baselining before usage.
Detects attempts to access the "unattend.xml" file, which can contain sensitive credentials used during the unattended Windows installation process. Attackers may target this file to harvest credentials.
Detects file access to browser credential storage paths by non-browser processes, which may indicate credential access attempts. Adversaries may attempt to access browser credential storage to extract sensitive information such as usernames and passwords or cookies. This behavior is often commonly observed in credential stealing malware.
Detects file access requests to the Windows Credential History File by an uncommon application.
This can be a sign of credential stealing. Example case would be usage of mimikatz "dpapi::credhist" function
This can be a sign of credential stealing. Example case would be usage of mimikatz "dpapi::credhist" function
Detects file access requests to crypto currency files by uncommon processes.
Could indicate potential attempt of crypto currency wallet stealing.
Could indicate potential attempt of crypto currency wallet stealing.
Detects file access requests to potentially sensitive files hosted on the Windows Sysvol share.
Detects file access attempts to sensitive Microsoft teams files (leveldb, cookies) by an uncommon process.
Detects file access to browser credential storage paths by non-browser processes, which may indicate credential access attempts.
Adversaries may attempt to access browser credential storage to extract sensitive information such as usernames and passwords or cookies.
This behavior is often commonly observed in credential stealing malware.
Adversaries may attempt to access browser credential storage to extract sensitive information such as usernames and passwords or cookies.
This behavior is often commonly observed in credential stealing malware.
The following analytic detects suspicious database file and directory discovery activities, which may signal an attacker attempt to locate and assess critical database assets on a compromised system. This behavior is often a precursor to data theft, unauthorized access, or privilege escalation, as attackers seek to identify valuable information stored in databases. By monitoring for unusual or unauthorized attempts to locate database files and directories, this analytic aids in early detection of potential reconnaissance or data breach efforts, enabling security teams to respond swiftly and mitigate the risk of further compromise.
The following analytic detects potential access or modification of the /etc/sudoers file on a Linux system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on processes like "cat," "nano," "vim," and "vi" accessing the /etc/sudoers file. This activity is significant because the sudoers file controls user permissions for executing commands with elevated privileges. If confirmed malicious, an attacker could gain persistence or escalate privileges, compromising the security of the targeted host.
This analytic detects attempts to exploit the ConnectWise ScreenConnect CVE-2024-1708 vulnerability using Windows SACL EventCode 4663. It identifies path traversal attacks by monitoring file system events related to the ScreenConnect service. This activity is significant as it allows unauthorized access to sensitive files and directories, potentially leading to data exfiltration or arbitrary code execution. If confirmed malicious, attackers could gain unauthorized access to critical data or execute harmful code, compromising the integrity and security of the affected system. Immediate remediation by updating to version 23.9.8 or above is recommended.
The following analytic detects attempts to access or dump the contents of /etc/passwd and /etc/shadow files on Linux systems. It leverages data from Linux Auditd, focusing on processes like 'cat', 'nano', 'vim', and 'vi' accessing these files. This activity is significant as it may indicate credential dumping, a technique used by adversaries to gain persistence or escalate privileges. If confirmed malicious, attackers could obtain hashed passwords for offline cracking, leading to unauthorized access and potential system compromise.
The following analytic detects non-Discord applications accessing the Discord LevelDB database. It leverages Windows Security Event logs, specifically event code 4663, to identify file access attempts to the LevelDB directory by processes other than Discord. This activity is significant as it may indicate attempts to steal Discord credentials or access sensitive user data. If confirmed malicious, this could lead to unauthorized access to user profiles, messages, and other critical information, potentially compromising the security and privacy of the affected users.
The analytic detects attempts to access or dump the contents of /etc/passwd and /etc/shadow files on Linux systems. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on processes like 'cat', 'nano', 'vim', and 'vi' accessing these files. This activity is significant as it may indicate credential dumping, a technique used by adversaries to gain persistence or escalate privileges. If confirmed malicious, attackers could obtain hashed passwords for offline cracking, leading to unauthorized access and potential system compromise.
This analytic identifies processes that retrieve information related to private key files, often used by post-exploitation tools like winpeas. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions that search for private key certificates. This activity is significant as it indicates potential attempts to locate insecurely stored credentials, which adversaries can exploit for privilege escalation, persistence, or remote service authentication. If confirmed malicious, this behavior could allow attackers to access sensitive information, escalate privileges, or maintain persistence within the compromised environment.
The following analytic detects attempts to access the SAM, SYSTEM, or SECURITY database files within the `windows\system32\config` directory using Windows Security EventCode 4663. This detection leverages Windows Security Event logs to identify unauthorized access attempts. Monitoring this activity is crucial as it indicates potential credential access attempts, possibly exploiting vulnerabilities like CVE-2021-36934. If confirmed malicious, an attacker could extract user passwords, leading to unauthorized access, privilege escalation, and further compromise of the system.
This analytic detects suspicious attempts to find private keys and certificates on Linux systems, which may indicate an attacker's effort to access sensitive cryptographic information. Private keys are crucial for securing encrypted communications and data, and unauthorized access to them can lead to severe security breaches, including data decryption and identity theft. By monitoring for unusual or unauthorized searches for files with common private key and certificate extensions using commands like 'find' or 'grep', this analytic helps identify potential threats to cryptographic security, enabling security teams to take swift action to protect the integrity and confidentiality of encrypted information.
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