Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Suspicious ASN
YARA-L
Identify network traffic based on a specific ASN
Detects suspicious user agent strings commonly used by exploit and penetration testing frameworks such as Metasploit, Cobalt Strike, Empire, and Havoc. These user agents often mimic legitimate browsers or applications but contain specific patterns that indicate their use by these tools. The rule is designed to identify command and control (C2) communication or initial access attempts originating from these frameworks by analyzing proxy logs.
Identify network traffic based on target country
Provides example usage of WHOIS data, detecting a DNS query for a domain that contains a specific string and is not registered with the defined domain registrar.
Detects potential Command and Control (C2) communication activity associated with the Peach Sandstorm APT group. The rule specifically looks for HTTP GET requests to '/api/Core/Command/Init' or '/api/Core/Command/Restart' endpoints, which are indicators of this group's C2 infrastructure.
Detects POST requests to the F5 BIG-IP iControl Rest API "bash" endpoint, which allows the execution of commands on the BIG-IP. This activity can indicate an attacker exploiting a public-facing application to gain initial access and execute arbitrary commands on the F5 BIG-IP device.
Detects exploitation attempts of CVE-2023-43261, an information disclosure vulnerability in Milesight UR5X, UR32L, UR32, UR35, UR41 routers before v35.3.0.7. Attackers can access sensitive router components, specifically the 'httpd.log' file, through proxy logs. This rule looks for GET requests to the '/lang/log/httpd.log' path with a successful HTTP status code (200).
Detects exploitation attempts of CVE-2023-43261, an information disclosure vulnerability in Milesight UR5X, UR32L, UR32, UR35, UR41 routers before v35.3.0.7. This vulnerability allows attackers to access sensitive router components by requesting the '/lang/log/httpd.log' file, which can contain passwords and other critical information.
Detects suspicious user agent strings commonly used by various malware families and Remote Access Trojans (RATs) in proxy logs. This rule identifies specific user-agent patterns associated with known threats like DragonOK, PlugX, HTTPBrowser RAT, njRAT, ZeroAccess, Dyre, Upatre, Ghost419, W32/Renos.Downloader, Kazy, Sality, Fareit, Toby web shell, Loki Bot, Pony, MacControl malware, Zebrocy, Ursnif, Emotet, Lockbit, Quasar RAT, Havana, AntSword, Racoon Stealer, AresLoader, Lilith Stealer, SVC Loader, WSHRAT, Zerobot, Nymaim, DarkCloud, BunnyStealer, SparkRAT, B4B3RAT, and Latrodectus loader.
This rule detects suspicious user agent strings commonly used by various hacking tools, including vulnerability scanners, brute-force tools, and SQL injection tools, within proxy logs. The rule identifies specific strings indicative of tools like Arachni, Hydra, DirBuster, SQLMap, and others, which are often employed during reconnaissance, initial access, and credential access phases of an attack.
Detects exploitation attempts targeting Oracle WebLogic servers using the CVE-2020-14882 vulnerability. The rule specifically looks for URI query patterns indicative of directory traversal attempts used in the exploit.
Detects suspicious and malformed user agent strings in proxy logs that may indicate malicious activity, including the use of specific malware or tools like Cobalt Strike, APT28 malware, Racoon Stealer, and Erbium stealer. The rule identifies various anomalies such as incorrect formatting, typos, and specific user agent strings known to be associated with adversary tools.
This rule detects suspicious user agent strings commonly associated with various Advanced Persistent Threat (APT) groups and malware families. It specifically targets patterns found in proxy logs, indicating potential command and control (C2) communications or other malicious web activity. The rule includes a broad list of user agent strings linked to specific APTs like Backspace, GrizzlySteppe, Comment Crew, Naikon, Sofacy (Xtunnel, Zebrocy), Derusbi, Winnti, APT17, Bronze Butler (Daserf), TSCookie, Delphi downloader, VPNFilter, FELIXROOT, RMS, Cmstar, KerrDown, APT33 (PowerTon), Hidden Cobra, Strong Pity, Mustang Panda, BackdoorDiplomacy, SideWalk, LitePower (WRITE), ZINC, PlugX, and RedCurl.
This rule detects the usage of cleartext protocols over a network by monitoring firewall logs for allowed connections to specific destination ports commonly associated with unencrypted services. These ports include HTTP (80, 8080), FTP (21), Telnet (23), and various database or application-specific ports (e.g., 1433, 3306, 1521, 27017, 50000, 11211, 15672, 5900-5904). The rule specifically looks for 'forward' or 'accept' actions, or connections not marked as 'blocked', indicating active cleartext communication. The primary goal is to identify potential credential exposure or sensitive data transmission over insecure channels.
This rule detects attempts to execute common Windows operating system commands via HTTP GET requests, which is a common characteristic of web shell activity. The rule specifically looks for URL-encoded versions of commands like 'whoami', 'net user', 'cmd /c', 'powershell', 'tasklist', 'wmic', 'ssh', 'python', 'ipconfig', 'wget', 'curl', 'certutil', 'copy \\', 'dsquery', and 'nltest'. These commands are often used by attackers to gain information about the compromised system, escalate privileges, or establish further persistence after deploying a web shell.
This rule detects suspicious DNS queries specifically targeting 'api.telegram.org'. This domain is used by Telegram Bot API, which can be leveraged by various types of malware (e.g., RATs, ransomware) for command and control (C2) or data exfiltration. Monitoring these queries helps identify systems potentially communicating with malicious Telegram bots.
Detects attempts to exploit Java-based web applications by identifying common payload strings often used in vulnerabilities like those affecting Confluence (CVE-2022-26134, CVE-2021-26084) and other Java deserialization or expression language injection flaws. The rule looks for specific patterns in web access logs that indicate the presence of Java code execution attempts, such as references to Java classes, runtime execution commands, and encoded characters often used in exploit payloads.
Detects exploitation attempts against Fortinet SSL VPNs using the CVE-2018-13379 vulnerability. This vulnerability allows an unauthenticated attacker to read arbitrary files on the system via a specially crafted URI.
Detects potential Command and Control (C2) communication associated with the Small Sieve malware. This rule specifically looks for HTTP GET requests to 'api.telegram.org' with a specific chat_id and 'text=com/' in the URI, which are indicators of Small Sieve's use of the Telegram Bot API for C2.
This rule detects HTTP POST requests that exhibit characteristics commonly associated with the Empire post-exploitation framework. Specifically, it looks for a combination of a distinct user-agent string ('Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; rv:11.0) like Gecko') and specific URI paths ('/admin/get.php', '/news.php', '/login/process.php'). This pattern is indicative of an Empire agent communicating with its command and control server.
This rule detects Cobalt Strike Malleable C2 profile patterns by analyzing HTTP proxy logs. It looks for specific User-Agent strings, HTTP methods (GET/POST), URIs, and hostnames that are characteristic of known Cobalt Strike profiles, including those mimicking Amazon, generic browsers, OCSP, and OneDrive traffic. The rule aims to identify command and control communications attempting to blend in with legitimate web traffic.
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