Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Base64 Website Access
YARA-L
Detects a user accessing multiple websites commonly used for Base64 encoding and decoding within a short time frame. This activity could be a precursor to data exfiltration or an attempt to obfuscate malicious commands.
This analytic provides comprehensive monitoring of configuration changes on Cisco devices by analyzing archive logs. Configuration archive logging captures all changes made to a device's configuration, providing a detailed audit trail that can be used to identify suspicious or malicious activities. This detection is particularly valuable for identifying patterns of malicious configuration changes that might indicate an attacker's presence, such as the creation of backdoor accounts, SNMP community string modifications, and TFTP server configurations for data exfiltration. By analyzing these logs, security teams can gain a holistic view of configuration changes across sessions and users, helping to detect sophisticated attack campaigns like those conducted by threat actors such as Static Tundra.
This analytic detects suspicious Python package installations where the package name resembles popular Python libraries but may be typosquatted or slightly altered. Typosquatting is a common technique used by attackers to trick users into installing malicious packages that mimic legitimate ones. This detection leverages Cisco NVM flow telemetry and checks for pip or poetry package managers with the "install" or "add" flags, making outbound connections to package repository such as `pypi.org` with known or suspected typo package names.
This analytic identifies the use of Chromium-based browsers (like Microsoft Edge) running in headless mode with the `--dump-dom` argument. This behavior has been observed in attack campaigns such as DUCKTAIL, where browsers are automated to stealthily download content from the internet using direct URLs or suspicious hosting platforms. The detection focuses on identifying connections to known file-sharing domains or direct IPs extracted from command-line arguments and cross-checks those against the destination of the flow. Since it leverages Cisco Network Visibility Module telemetry, the rule triggers only if a network connection is made.
This analytic detects oversized Cisco Smart Install (SMI) protocol messages by inspecting traffic to TCP port 4786 within the Network_Traffic data model. Abnormally large SMI payloads have been associated with exploitation and protocol abuse (e.g., CVE-2018-0171; activity reported by the "Static Tundra" threat actor). Monitoring message sizes over time can help identify possible attempts at remote code execution, denial of service, or reconnaissance against Cisco devices exposing Smart Install.
This analytic detects network traffic to TCP port 4786, which is used by the Cisco Smart Install protocol. Smart Install is a plug-and-play configuration and image-management feature that helps customers to deploy Cisco switches. This protocol has been exploited via CVE-2018-0171, a vulnerability that allows unauthenticated remote attackers to execute arbitrary code or cause denial of service conditions. Recently, Cisco Talos reported that a Russian state-sponsored threat actor called "Static Tundra" has been actively exploiting this vulnerability to compromise unpatched and end-of-life network devices. Monitoring for traffic to this port can help identify potential exploitation attempts or unauthorized Smart Install activity.
Detects an exploit attempt against Sitecore vulnerability CVE-2025-53690. This rule correlates an HTTP POST request to '/sitecore/blocked.aspx' with a subsequent 'ViewState verification failed' Windows Event Log (EID 1316) from the same source IP and target host.
Detects activity related to the PromptLock ransomware, which leverages the Ollama AI API and is written in Go. This rule looks for network connections to the Ollama service (port 11434) and related process executions, specifically identifying processes like go.exe, curl.exe, wget.exe, python.exe, powershell.exe making connections or processes with 'ollama' in their command line.
Detects outbound Network File System (NFS) connections originating from an internal network IP address to a public IP address. This activity is highly unusual for legitimate NFS usage and could indicate an attempt to download malware, exfiltrate data, or establish command and control, as observed with malware like RapperBot.
Detects a sequence of commands on Cisco IOS devices used to capture network traffic, specifically targeting TACACS+ on TCP port 49, and then exfiltrate it. This technique, detailed in a CISA advisory on PRC state-sponsored actors, is used to harvest credentials from network traffic.
Detects attempts to exploit the Sitecore Experience Platform HTML cache poisoning vulnerability (CVE-2025-53693). Attackers can send a crafted HTTP request to a specific XAML handler to poison the HTML cache, leading to website defacement or client-side code execution.
Detects attempts to exploit the Citrix NetScaler RCE vulnerability (CVE-2025-7775) by identifying a specific POST request to a vulnerable endpoint, followed by a GET request to verify code execution.
Detects network requests to common IP geolocation services, such as 'ip-api.com/json'. This is a known anti-analysis technique used by malware, including a loader associated with the Silver Fox APT group, to determine if it is running in a research or sandbox environment by checking the public IP address, ISP, and organization.
Detects DNS queries to landing pages associated with the PDF Editor.exe & OneStart.
Detects network traffic to a list of known domains that are related to TamperedChef - PDF Editor.exe - C2 traffic.
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 SQL injection attempts targeting FortiWeb (CVE-2025-25257) in HTTP GET requests to /api/fabric/device/status. The rule identifies known exploit payloads in the Authorization header, generic SQL injection patterns, and SQL statements like DROP, DELETE, INSERT, UPDATE, CREATE. It also detects known malicious source IPs targeting the vulnerable endpoint.
Detects outbound API calls to api.github.com for repository creation or file uploads matching patterns used in the s1ngularity supply chain attack.
Detects when a single Autonomous System Number (ASN) is associated with multiple organization names within a short time frame. This could indicate a rebranding or transfer of network blocks to evade sanctions or scrutiny, as seen with the Stark Industries threat activity enabler.
This KQL query detects network traffic to or from suspicious ports by joining firewall logs (CommonSecurityLog) with an external, regularly updated list of known suspicious ports. It specifically looks for accepted or passed connections to these ports, indicating potential exploitation attempts or unauthorized communication channels used by threat actors.
This rule detects an unusually high volume of DNS queries originating from a single device within a one-hour window. This behavior can be indicative of various malicious activities such as DNS tunneling for command and control, data exfiltration, or extensive reconnaissance.
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