Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
452 detections
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Detects HTTP requests containing the URI pattern '/asp.asp?ui=' which is known to be used by the Chafer malware for command and control communication to receive data from its C2 server.
Detects Ursnif C2 traffic by identifying specific URL patterns in proxy logs. The rule looks for URIs containing base64-like encoding indicators ('_2f', '_2b') in combination with specific file extensions and directory names ('.avi' and '/images/'). This combination is indicative of Ursnif malware's command and control communication.
Detects update checks performed by Advanced IP Scanner and Advanced Port Scanner utilities. These utilities are often used for network reconnaissance and can be considered Potentially Unwanted Applications (PUA) in some environments. The rule specifically looks for requests to '/checkupdate.php' with a set of specific query parameters, indicating an update check from these tools.
This rule detects attempts to execute files from external WebDAV shares. It specifically looks for HTTP GET requests where the User-Agent header starts with 'Microsoft-WebDAV-MiniRedir/' and the requested URI ends with common executable or script file extensions. This behavior is often observed in initial access campaigns where adversaries leverage WebDAV to deliver and execute malicious payloads.
Detects executables launched from external WebDAV shares using the WebDAV Explorer integration, commonly seen in initial access campaigns.
Detect the update check performed by Advanced IP/Port Scanner utilities.
Detects potential exploitation attempt of CVE-2023-1389, an Unauthenticated Command Injection vulnerability in TP-Link Archer AX21 routers. The rule looks for specific URI patterns and keywords indicative of an attempt to inject commands via the 'country' parameter.
This rule detects attempts to proxy web pages through the HTTPPROXY service on an OpenCanary honeypot. This indicates that an attacker or automated tool has interacted with the honeypot's HTTP proxy, potentially attempting to use it for further malicious activity or reconnaissance.
The analytic identifies web activity related to employment searches within a network using Zscaler web proxy logs. It focuses on entries categorized as 'Job/Employment Search' and analyzes data points such as device owner, user, URL category, destination URL, and IP. This detection helps monitor potential insider threats by identifying users who may be seeking new employment, which could indicate a risk of data exfiltration or other insider threats, potentially leading to sensitive information leakage or other security breaches.
The following analytic identifies the download of potentially malicious file types, such as .scr, .dll, .bat, and .lnk, within a network. It leverages web proxy logs from Zscaler, focusing on blocked actions and analyzing fields like deviceowner, user, urlcategory, url, dest, and filename. This activity is significant as these file types are often used to spread malware, posing a threat to network security. If confirmed malicious, this activity could lead to malware execution, data compromise, or further network infiltration.
Detects exploitation attempts of the OWASSRF variant targeting Exchange servers. This variant uses the OWA endpoint to access the PowerShell backend endpoint, indicated by specific URI patterns and HTTP methods. The rule filters out common legitimate user agents to reduce false positives.
Detects exploitation activity targeting CVE-2023-46747, an unauthenticated remote code execution vulnerability in F5 BIG-IP. The rule specifically looks for POST requests to '/mgmt/tm/util/bash' containing hex-encoded or plain text strings related to '/tmui/Control/form' and 'form_page=%2ftmui%2fsystem%2fuser%2fcreate.jsp', which are indicators of the exploit attempting to create a new user.
Detects potential exploitation attempt of CVE-2023-4966, a Citrix ADC and NetScaler Gateway sensitive information disclosure vulnerability, via proxy logs. This vulnerability allows for the disclosure of sensitive information, such as session tokens.
Detects exploitation attempts of CVE-2023-4966, a Citrix ADC and NetScaler Gateway sensitive information disclosure vulnerability. The detection logic specifically looks for GET requests to '/oauth/idp/.well-known/openid-configuration' with an unusually long host header string (150 characters or more) in proxy logs. This pattern is indicative of the 'Citrix Bleed' exploit.
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.
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 POST requests to the F5 BIG-IP iControl Rest API "bash" endpoint, which allows the execution of commands on the BIG-IP
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 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.
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