Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

247 detections

This rule detects potentially malicious activities on network devices by monitoring Syslog messages for account creation with high privileges, privilege abuse, configuration wiping, and anomalous SSH logins from unauthorized source IP addresses. The rule aggregates these events to identify multi-stage exploitation patterns on network infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects potentially malicious activities on network devices by monitoring Syslog messages for account creation with high privileges, privilege abuse, configuration wiping, and anomalous SSH logins from unauthorized source IP addresses. The rule aggregates these events to identify multi-stage exploitation patterns on network infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects a browser session that contacts an EvilTokens Device Code phishing endpoint (/api/device/status/) and then immediately navigates to onedrive.live.com, indicating the attacker backend returned status:completed and the kit executed window.location.replace to redirect the victim to OneDrive after token capture. This sequence suggests a successful device code phishing attack where the victim's credentials or tokens have been captured, and they are then redirected to a legitimate service to avoid suspicion.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
002
This rule detects suspicious network connections, process activity, and file events related to Node.js or systemd-userdbd, potentially indicating C2 communication or the presence of malicious tools. Specifically, it looks for outbound TCP connections to port 4444, process command lines containing shell commands or 'node-pty', and file paths/names associated with 'apintergrationpost' or 'node-pty'.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Identifies potential Neo-reGeorg webshell execution by correlating HTTP POST requests to Java Server Pages (.jsp/.jspx) with reflection events (defineClass) in system logs. This specific mechanism is utilized by Operation Escaneo (MexicanMafia) to load AES-encrypted, base64/BLV-encoded payloads in memory.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
107
Identifies the execution of MeshCentral for remote command execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule identifies the execution of MeshCentral for remote command execution, specifically looking for command-line arguments containing 'meshctrl.js' and 'RunCommand'. This activity has been observed in attacks such as those by ShinyHunters to stage payloads on compromised Oracle PeopleSoft servers.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule identifies the execution of MeshCentral for remote command execution by looking for specific command-line arguments. It specifically targets instances where 'meshctrl.js' and 'RunCommand' are present in process command lines or syslog messages. This activity has been associated with threat actors like ShinyHunters.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects web requests attempting to exploit CWE-78 in AutoGen MCP via base64 encoded parameters in the URL. Specifically looks for '/api/mcp/ws/' and 'server_params=' within syslog messages.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects management log entries in Cisco SD-WAN that indicate a potentially malicious file path being used during a CSV upload. Such crafted uploads have been exploited in real-world attacks to execute commands on network appliances. Detection of this activity suggests a compromise attempt or successful exploitation. It is recommended to block and audit the source account, investigate the user's recent activities (e.g., new software installations, clicked links), and involve the security team for further analysis.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
0010
Recent reporting indicates the campaign targeted GitHub repositories by inserting malicious GitHub Actions / CI workflows designed to steal secrets and credentials.

5,561 repositories were affected in roughly six hours

Attackers pushed 5,718 malicious commits.

The objective was credential theft from CI/CD environments, including:
cloud credentials
SSH keys
access tokens
CI/CD secrets
The campaign reportedly used:
fake automation-style commit identities such as build-bot, ci-bot, or similar
malicious .github/workflows changes

workflow triggers that either:
executed automatically on push / pull request, or
remained dormant until manually triggered
Web reporting further states the payload collected environment variables, cloud metadata credentials, and repository runner secrets, then exfiltrated them to 216.126.225.129:8443.
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Subash Ghimire@iamsubashg
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Detections.ai Community
5 months ago
1015
This rule detects scripts abusing the tenant list upload feature on Cisco SD-WAN managers. Such misuse can expose customer networks or implant changes at scale. It is crucial to review who ran the script and what file was uploaded. If this alert fires, investigate the user's recent activities, specifically if they installed new software or clicked any suspicious links. Involve your security team if the situation remains unclear.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
003
Detects SSH agent forwarding being abused for lateral movement
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects network connections or DNS queries to a specific Internet Computer Protocol (ICP) domain and canister ID (tdtqy-oyaaa-aaaae-af2dq-cai.raw.icp0.io or tdtqy-oyaaa-aaaae-af2dq-cai). This pattern is associated with command and control (C2) activity, where compromised systems communicate with an adversary-controlled server.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects potential DNS tunneling activity by looking for an unusually high volume of DNS queries of type TXT or NULL, or DNS queries with exceptionally long names (50 characters or more), originating from multiple distinct clients within a one-hour window. This pattern is often indicative of adversaries exfiltrating data or establishing command and control through DNS.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
203
This rule detects network connections where the User-Agent or RequestClientApplication header contains "NSIS_InetLoad". This string is often associated with Nullsoft Scriptable Install System (NSIS) installers, which can be used by legitimate software but also by malware to download additional components or communicate with command and control servers. The rule specifically looks for at least 3 such connections from the same source to the same destination within the aggregated timeframe, while excluding connections to Microsoft domains to reduce false positives.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Detects attempts to read common HashiCorp Vault token paths from the filesystem, indicating potential credential harvesting by the Miasma stealer or other unauthorized access.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
3015
This rule detects network connections originating from clients using a specific User-Agent string associated with the SessionGate malware. The User-Agent string 'NSIS_InetLoad' combined with 'Mozilla' is indicative of SessionGate C2 check-ins, leveraging the NSIS (Nullsoft Scriptable Install System) InetLoad plugin. The rule searches across common proxy and web logs for this pattern.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
207
This rule detects network connections where the User-Agent or RequestClientApplication header contains "NSIS_InetLoad". This string is often associated with Nullsoft Scriptable Install System (NSIS) installers, which can be used by legitimate software but also by malware to download additional components or communicate with command and control servers. The rule specifically looks for at least 3 such connections from the same source to the same destination within the aggregated timeframe, while excluding connections to Microsoft domains to reduce false positives.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
205
Detects Cisco SD-WAN control connection state changes indicating a new 'vmanage' peer connection from an unauthorized IP address. This rule is designed to identify potential exploitation of vulnerabilities like CVE-2026-20182, where attackers establish unauthorized infrastructure ties by creating new vManage peer connections. The rule filters for syslog messages from the Viptela-vSmart-VDAEMON indicating a 'control-connection-state-change' with 'new-state:up' and 'peer-type:vmanage', and then excludes connections from a list of authorized vManage IP ranges.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
50317
Detects truncated 'whostmgrsession' cookies missing the comma delimiter, which is a necessary step for attackers to inject cleartext CRLF payloads into cPanel session files and bypass authentication. This rule specifically looks for the 'whostmgrsession' cookie in web or proxy logs where the cookie value matches a regex pattern indicating the absence of the expected comma delimiter, a characteristic of the CVE-2026-41940 exploitation.
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Aitor Fernández@DarkW0lf
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Detections.ai Community
6 months ago
1001,459
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