Detections

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

4,308 detections

Detects network connections from Node.js or Bun runtime processes to common cloud instance metadata service IPs (AWS, Azure, GCP) or to the default HashiCorp Vault port (8200). This activity can indicate credential access attempts, especially in the context of a supply chain attack where malicious code might be injected into a Node.js/Bun application to exfiltrate sensitive information or gain further access. The rule correlates network connection events with process execution events to identify the specific runtime responsible.
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Thiru N@Iamthiru
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Detections.ai Community
6 months ago
80482
This suite of rules detects various activities associated with the Mini Shai-Hulud npm worm, including the execution of its payload via bun, network connections to its exfiltration domain, attempts by Node.js or Bun processes to access AWS IMDS for credential theft, access to local HashiCorp Vault instances, identification of known malicious script file hashes, and the installation of its specific malicious GitHub dependency.
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Chris Parczyk@W4tch70w3r
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Detections.ai Community
6 months ago
190738
Detects multiple threat behaviors associated with the Mini Shai-Hulud supply chain worm campaign. This includes memory scraping for secrets, execution of malicious Node/Bun payloads, connection to known C2 domains, and file operations related to persistence.
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Ravi Asakapalli@Ravishankaraskp
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Detections.ai Community
6 months ago
10352
Detects Python processes attempting to read process memory (/proc/*/mem) or using a specific shell pipeline to scrape GitHub Actions Runner memory for masked secrets, as observed in the Mini Shai-Hulud supply chain attack.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
6 months ago
50260
This rule detects a potential privilege escalation attempt on Linux systems. It looks for two main indicators: first, the execution of the 'su' command from a user's home directory by a process whose executable was recently created in a user's home directory and identified as an ELF binary. Second, it identifies systems where public-facing network connections were made by processes using common remote file transfer utilities (curl, wget, lftp, axel, aria2, scp, rsync, ftp) to fetch code, followed by the execution of a process with 'algif-aead' in its command line, which could indicate fileless execution after remote code fetching. The combination suggests an attacker might be fetching malicious code, potentially compiling it, and then using it to escalate privileges via 'su' or executing it filelessly.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
131414
Detects Mini Shai-Hulud supply-chain malware (router_init.js / router_runtime.js / tanstack_runner.js)
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Leonardo Gasparini@Leonardo.Gasparini
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Detections.ai Community
6 months ago
81301
Looks for a Temporary Access Pass in Entra ID
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
30157
Detects suspicious npm activity indicative of the PhantomRaven Wave 5 supply chain attack. This includes node.js processes executing scripts from temporary directories during npm install, node.js processes accessing credential files (.gitconfig, .npmrc, .aws/credentials, .ssh) during npm lifecycle events, and the installation of known malicious npm package names associated with PhantomRaven.
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Aitor Fernández@DarkW0lf
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Detections.ai Community
6 months ago
120550
Detects access to sensitive files, credential data, or remote procedure call (RPC) endpoints related to credential dumping over a network share.
This could indicate lateral movement or remote credential harvesting techniques.
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Luís Marques@remotecodeexecution
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SIBS Cyberwatch
6 months ago
1079
This rule detects suspicious child processes spawned by the BeyondTrust Remote Support client (bomgar-scc), which could indicate post-exploitation activity following a compromise via vulnerabilities like CVE-2026-1731. It looks for high-risk command line patterns and suspicious child processes commonly used for reconnaissance and payload execution.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
100311
This rule detects sensitive OAuth activities within Okta, specifically focusing on OAuth client secret access, token revocation requests, and implicit flow requests. These activities can indicate potential compromise of OAuth clients, attempts to invalidate legitimate tokens, or the use of less secure OAuth flows that could be exploited.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
6 months ago
60246
This rule detects when users perform search queries in SharePoint Online that contain keywords indicative of sensitive data. The rule categorizes these searches into several types: credentials, personnel/HR information, infrastructure reconnaissance, financial/PII, and confidential business information.
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Collin Lairamore@Bollinmore
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Detections.ai Community
6 months ago
90406
Detects modifications to the msDS-KeyCredentialLink attribute on Delegated Managed Service Account (dMSA) objects, indicating a potential Shadow Credential (X.509 certificate) planting. This allows an attacker to bypass managed password rotation and maintain permanent PKINIT access, as seen in the dMSA Ouroboros attack chain. The rule also monitors Event 4768 (PKINIT TGT requests with pre-authentication type 17) and Event 4662 (S4U2Self Object Access) for dMSA objects, which are key indicators of this attack.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
60228
Detects modifications to the msDS-GroupMSAMembership attribute on Delegated Managed Service Account (dMSA) objects. Attackers may write the dMSA's own SID into this attribute to self-authorize credential extraction, establishing a self-sustaining Ouroboros loop.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
10173
Detects non-legitimate processes attempting to read Kubernetes service account tokens or related sensitive files (ca.crt, namespace) from the standard service account path within containers. This rule filters out common and legitimate Kubernetes system processes to reduce false positives.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
6 months ago
50314
This rule detects when a smartcard is disabled, indicated by a specific change code (2060) in Windows raw event data. Disabling smartcards can be a tactic used by adversaries to bypass multi-factor authentication or other security controls.
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Collin Lairamore@Bollinmore
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Detections.ai Community
6 months ago
30205
Monitors for modifications to the LocalAccountTokenFilterPolicy registry key being set to 1, a technique used by the IOX proxy (and SHADOW-EARTH-053) to enable Pass-the-Hash attacks and grant administrative rights to remote connections.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
80277
Detects attempts by non-Azure Arc agent processes to access '.key' files within the Azure Arc Tokens directory. This activity could indicate an attempt to exploit CVE-2026-26117 or other credential access techniques targeting Azure Arc service principal tokens.
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ᴅᴜᴛᴄʜʙᴏʏ 😎@dutchboy
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DROID
6 months ago
221736
Detects attempts by non-Azure Arc agent processes to access '.key' files within the Azure Arc Tokens directory. This activity could indicate an attempt to exploit CVE-2026-26117 or other credential access techniques targeting Azure Arc service principal tokens.
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ᴅᴜᴛᴄʜʙᴏʏ 😎@dutchboy
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DROID
6 months ago
70561
This rule detects the execution of commands that include 'splice' in conjunction with common privilege escalation utilities such as 'su', 'sudo', or 'passwd', or attempts to access '/etc/passwd'. This privilege escalation resembles Copy Fail.
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
1401,187
Detects the execution of the 'gh auth token' command. This behavior was observed being used by the TeamPCP malicious npm package (hijacked @bitwarden/cli) via a shell collector script to harvest active GitHub CLI authentication tokens from developer endpoints.
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Danny Y@zendannyy
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Detections.ai Community
6 months ago
1701,092
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