Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
404 detections
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Detects HTTP/HTTPS POST requests to known Lumma Stealer C2 domain
Detects exploitation attempts targeting a code injection vulnerability in XWiki's SolrSearch macro (CVE-2025-24893). Attackers can inject malicious Groovy code through specially crafted requests to the SolrSearch endpoint, leading to unauthenticated remote code execution.
Detects suspicious user agent strings used by crypto miners in proxy logs
Hack Tool User Agent
Sigma
Detects suspicious user agent strings user by hack tools in proxy logs
Detects suspicious user agent strings used by exploit / pentest frameworks like Metasploit in proxy logs
Detects the use of rclone, a command-line program to manage files on cloud storage, via its default user-agent string
Detects URLs that use the `https://user@host` syntax where the 'user' part is crafted to look like a legitimate domain (e.g., `https://example.com@malicious-site.net`). This is a technique used by the Jingle Thief group (also tracked as Atlas Lion and STORM-0539) to craft convincing phishing links.
Detects network connections to the InterPlanetary File System (IPFS) where the URI contains a pattern indicative of an email address. This behavior is associated with recent phishing campaigns that leverage IPFS to host credential harvesting webpages, attempting to collect user credentials.
The following analytic detects the use of default or publicly known named pipes associated with Cobalt Strike. It leverages Sysmon EventID 17 and 18 to identify specific named pipes commonly used by Cobalt Strike's Artifact Kit and Malleable C2 Profiles. This activity is significant because Cobalt Strike is a popular tool for adversaries to conduct post-exploitation tasks, and identifying its named pipes can reveal potential malicious activity. If confirmed malicious, this could indicate an active Cobalt Strike beacon, leading to unauthorized access, data exfiltration, or further lateral movement within the network.
The following analytic identifies potential phishing attempts blocked by Zscaler within a network. It leverages web proxy logs to detect actions tagged as HTML.Phish. The detection method involves analyzing critical data points such as user, threat name, URL, and hostname. This activity is significant for a SOC as it serves as an early warning system for phishing threats, enabling prompt investigation and mitigation. If confirmed malicious, this activity could indicate an attempt to deceive users into divulging sensitive information, potentially leading to data breaches or credential theft.
This analytic detects suspicious data transfer activities involving the use of the `split` syscall with the `-b` option, which specifies the size of each output file. This technique can be used by attackers to evade detection by breaking large files into smaller parts, bypassing size-based security controls, and facilitating covert exfiltration of sensitive data. By monitoring for unusual or unauthorized use of the `split` syscall with a specified block size, this analytic helps identify potential data exfiltration attempts.
Detects network connections from web browsers to domains associated with the UNC5142 EtherHiding technique, including a specific blockchain node and malicious Cloudflare Pages domains.
This analytic identifies the bulk creation of ransomware notes (e.g., .txt, .html, .hta files) on an infected machine. It leverages Sysmon EventCode 11 to detect multiple instances of these file types being created within a short time frame (10 seconds). A detection is triggered if 15 or more unique readme paths are observed. This activity is a strong indicator of an active ransomware attack, where the attacker is notifying the victim of the encryption. If confirmed malicious, this behavior could lead to widespread data encryption, rendering critical files inaccessible and potentially causing significant operational disruption.
The following analytic detects suspicious attempts to find credentials stored in password stores, indicating a potential attacker's effort to access sensitive login information. Password stores are critical repositories that contain valuable credentials, and unauthorized access to them can lead to significant security breaches. By monitoring for unusual or unauthorized activities related to password store access, this analytic helps identify potential credential theft attempts, allowing security teams to respond promptly and prevent unauthorized access to critical systems and data.
The following analytic identifies the execution of RAR utilities to archive files on a system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, GUIDs, and command-line arguments. This activity is significant as threat actors, including red-teamers and malware like DarkGate, use RAR archiving to compress and exfiltrate collected data from compromised hosts. If confirmed malicious, this behavior could lead to the unauthorized transfer of sensitive information to command and control servers, posing a severe risk to data confidentiality and integrity.
Detects network traffic potentially associated with a scraper botnet variant that uses the "Hello-World/1.0" user-agent string and performs GET requests. This activity is indicative of reconnaissance or data scraping.
Detects network traffic potentially associated with a scraper botnet variant that uses the "Hello-World/1.0" user-agent string.
This analytic detects the configuration of TFTP services on Cisco IOS devices that could be used to exfiltrate sensitive configuration files. Threat actors like Static Tundra have been observed configuring TFTP servers to make device configuration files accessible for exfiltration after gaining initial access. The detection specifically looks for commands that expose critical configuration files such as startup-config, running-config, and other sensitive system information through TFTP. This activity is particularly concerning as it may represent an attempt to steal credentials, network topology information, and other sensitive data stored in device configurations.
Detects a specific, outdated Internet Explorer user-agent string used by the UpCrypter malware for C2 communications. This User-Agent string is highly specific and outdated, making legitimate use extremely unlikely in modern environments.
Detects network traffic associated with the Tycoon and ODx phishing kits, which are used in Attacker-in-the-Middle (AiTM) phishing campaigns to bypass MFA. The rule identifies connections to known malicious domains, IP addresses, and specific URLs used by these kits.
The analytic detects when a Windows RDP client attempts to execute an RDP file from a temporary directory, downloads directory, or Outlook directories. This detection is significant as it can indicate an attempt for an adversary to deliver a .rdp file, which may be leveraged by attackers to control or exfiltrate data. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further lateral movement within the network.
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