Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Box SaaS Suspicious File Download
Cortex XDR
Detects file downloads from Box which could indicate potential data exfiltration by insiders or compromised accounts. This rule specifically looks for 'DOWNLOAD' operations within Box SaaS audit logs.
Detects the creation of 'configA.json' by a Python process, which indicates successful host profiling by KongTuke's ModeloRAT reconnaissance module. This file is typically dropped after the reconnaissance phase to store collected system information.
Detects file access patterns in the Downloads directory matching cryptocurrency wallet seeds, phrases, and private keys targeted by file grabbers like Amatera. The rule identifies bulk access (more than 3 sensitive files within 5 minutes) to files with specific keywords or extensions commonly associated with crypto wallets.
Detects the execution of rundll32.exe calling a specific exported function ('open') associated with the fake lock screen DLL ('com6848.dll') to capture user passwords. This technique is often used in credential harvesting campaigns.
Detektiert Gremlin Stealer TTPs wie Crypto-Clipping oder Session-Hijacking durch Analyse von verdächtigen Prozessbefehlen und Ressourcen-Manipulation laut Unit 42 Bericht.
Detects possible MFA-approved session replay by identifying abnormal reuse of authenticated sessions across multiple IPs, browsers, and devices compared against a 14-day historical baseline. The rule prioritizes browser/device anomalies over geography since modern attackers often use same-country VPS/proxies.
Detects suspicious sharing activity in Box, including the creation of open links, external collaboration invites, role escalation, and weakening of sharing policies. This rule identifies high-risk activities such as making files publicly visible without password protection, inviting external users with co-owner or editor roles, and changes that reduce security like removing expiration dates on shared links.
Node.js Accessing Developer Secrets
Cortex XDR
Detects Node.js processes rapidly reading multiple sensitive developer configuration or credential files (e.g., .env, AWS credentials, SSH keys) within a short timeframe. This behavior is indicative of infostealer activity, often observed with malicious npm packages.
SharePoint Online Sensitive Data Search
Cortex XDR
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.
Detects network connections or DNS queries to known lookalike domains utilized by UNC6671 (BlackFile) for adversary-in-the-middle (AiTM) credential harvesting and real-time MFA bypass during vishing operations.
Detects abnormal MFA session behavior by monitoring user sessions with multiple IPs or browsers over 24h. Note: KQL 14-day historical baseline and set_difference logic is approximated.
Detects the creation or modification of GitHub Actions workflow files designed to dump and exfiltrate repository secrets, a technique observed in the Mini Shai-Hulud supply chain attack. This rule specifically looks for file events in GitHub Actions workflow directories combined with command-line patterns indicative of secret exfiltration or the creation of a specific malicious workflow file ('codeql_analysis.yml') by scripting interpreters.
Detects possible Adversary-in-the-Middle (AiTM) attacks, session cookie replay, MFA session hijacking, token theft, and stolen cloud session reuse by identifying abnormal SessionId reuse across multiple IPs, browsers, and devices. This detection compares current session activity against a 14-day historical user behavior baseline to identify new or abnormal behavior. It includes risk scoring and account classification, while reducing false positives from token refresh activity and common Microsoft Teams noise.
Detects unexpected access to PhoneExperiences-*.db files which may contain synchronized SMS and OTP messages. This behavior is associated with the CloudZ RAT and Pheno plugin bypassing SMS-based MFA.
SharePoint Online Sensitive Data Search
Cortex XDR
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.
Detects the creation of Pheno plugin output files (phonelink-<COMPUTERNAME>.txt) in the Microsoft feedback folder. This indicates the Pheno plugin is actively preparing to intercept PC-to-phone synchronization tools for OTP theft.
Detects the explicit loading of the Exchange Management snap-in by PowerShell, often a precursor to mailbox exfiltration as seen in SHADOW-EARTH-053 activity. This activity can indicate an adversary is preparing to interact with Exchange mailboxes.
Detects unauthorized processes reading or accessing the 'PhoneExperiences' SQLite databases. This behavior may indicate an attempt to steal synchronized SMS messages or One-Time Passwords (OTPs) via the Microsoft Phone Link application, bypassing MFA without needing mobile malware.
MC1293480: https://admin.cloud.microsoft/?ref=MessageCenter/:/messages/MC1293480
Detects unusual processes accessing the RDP Terminal Server Client Cache folder, indicating potential reconnaissance or staging for exfiltration. Attackers target this cache to exfiltrate and reconstruct image fragments of past remote sessions.
Detects unusual processes accessing the RDP Terminal Server Client Cache folder, indicating potential reconnaissance or staging for exfiltration. Attackers target this cache to exfiltrate and reconstruct image fragments of past remote sessions.
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