Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
280 detections
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Detects the Abyssos HVNC_CLONE_START to GRABCOOKIES to cookie-injection chain: browser profile/cookie staging under a temp fontconfigs folder correlated with a non-browser process connecting to a local Chrome/Edge/Brave remote-debugging port (9222) used for Network.setCookie session hijacking.
This rule detects instances where a process that is not a recognized web browser attempts to access sensitive files associated with browser credential stores, such as Login Data, Cookies, and web browser state files. Such activity is commonly associated with infostealer malware, which attempts to exfiltrate saved passwords, session cookies, and autofill information.
Detects curl reusing a captured cookie jar (-b /tmp/lhr_c) against a known tunnel domain, indicating session-cookie replay to hijack an authenticated session exposed via a reverse tunnel.
Detects HTTP requests to known UNC6671 AiTM reverse-proxy phishing kit IPs on MFA/OTP interception URI paths (push-tap, duo-push, oauth2 2fa, community verify), indicating live MFA bypass.
Detects sustained high-volume automated HTTP request patterns from internal hosts to known new-api/one-api transfer station proxy domains (amutes.com, abb1.life) used to resell stolen AI API access, requiring volume above a dynamic baseline over a 10-minute window and excluding approved internal API gateways or vetted integration partners.
Detects a single Entra ID session (SessionId) being used from two different countries within one hour at a travel velocity no physical journey could achieve. This is a signature of a stolen session/refresh token being replayed by an actor from a different location than the legitimate user.
This rule monitors web browser URL click events for specific patterns (createssopasskey, addssopasskey) often used in vishing-lure campaigns. It identifies potential Adversary-in-the-Middle (AiTM) credential harvesting attempts by cross-referencing clicked URLs against an organization's approved SSO domain allowlist and verifying the presence of an internal referrer in the redirect chain. If a user clicks a suspect link that does not originate from a known internal source and points to an unauthorized external domain, the event is flagged.
This rule detects 'impossible travel' activity performed by users assigned to sensitive Microsoft 365 Communication Compliance roles. It monitors Azure Sign-in logs for successful authentication events occurring within a short timeframe (1 hour) from multiple distinct geographic locations (countries) or different autonomous system numbers (ASNs). This behavior is characteristic of an adversary utilizing stolen session tokens or compromised credentials to access protected administrative functions.
Detects a potential account takeover scenario where a user receives a password reset notification email followed within 10 minutes by a non-SSO application password change from the same IP address. This sequence is characteristic of Adversary-in-the-Middle (AiTM) phishing or vishing campaigns where an attacker intercepts session tokens or uses social engineering to force a password reset and immediately secures the account for persistent access.
Detects file access/modification/creation events targeting .env files or browser credential storage artifacts, combined with process command lines referencing API_KEY/TOKEN alongside environment-variable access patterns, indicative of infostealer malware harvesting developer secrets and browser-stored credentials, followed by an outbound network connection consistent with exfiltration.
This rule identifies potential post-Adversary-in-the-Middle (AiTM) session hijacking by correlating suspicious initial authentication events (e.g., AiTM indicators, unusual behavioral flags) with subsequent successful sign-ins originating from known residential proxies or anonymization VPN providers within a 24-hour window.
This rule detects 'impossible travel' activity performed by users assigned to sensitive Microsoft 365 Communication Compliance roles. It monitors Azure Sign-in logs for successful authentication events occurring within a short timeframe (1 hour) from multiple distinct geographic locations (countries) or different autonomous system numbers (ASNs). This behavior is characteristic of an adversary utilizing stolen session tokens or compromised credentials to access protected administrative functions.
Detects signs of Adversary-in-the-Middle (AiTM) token or session replay attacks by correlating device browsing activity on known phishing domains with subsequent user sign-in events. The rule triggers if a sign-in occurs within 10 minutes of a phishing-domain visit from a different, non-corporate IP address, or if a single session exhibits multiple distinct non-corporate IP addresses within that same window.
This rule detects sustained network communication (at least 5 connections within a 300-second window) between internal hosts and a specific list of IP addresses identified by Unit 42 as malicious infrastructure used for AI token jacking. These servers operate as transfer stations, likely utilizing platforms like new-api or one-api to facilitate the illicit resale of stolen frontier-AI API keys. The rule incorporates an exclusion for internal security scanning and proxy infrastructure to minimize false positives, and it is specifically designed to flag exfiltration or unauthorized API usage patterns associated with stolen credentials (T1539) and potential proxy-based obfuscation of command and control or data relay (T1090).
Detects non-browser, non-password-manager processes accessing browser process memory (potential in-memory cookie theft), copying browser credential/cookie database files (Login Data, Cookies, Local State, key4.db, logins.json), or enumerating stored Wi-Fi profile keys via netsh wlan show profile key=clear - behaviors associated with CornFlake RAT credential theft and Wi-Fi credential harvesting used in the CaptiveCrunch campaign.
This rule identifies potential account compromise or session hijacking by correlating anomalous outbound email patterns with risky sign-in events. It monitors for users who send outbound emails to a threshold of previously unseen external recipients within a short window after authenticating under suspicious conditions, such as high-risk sign-in flags, atypical locations, or unfamiliar applications. This pattern is indicative of attackers using stolen session tokens or compromised credentials to perform mass outbound phishing, spamming, or data exfiltration from an internal mailbox.
UNC6671 AiTM Phishing Infrastructure - Maintained IOC Dataset Match with TTL-Based Expiry (High Confidence)
This rule detects potential Adversary-in-the-Middle (AiTM) activity by correlating network events indicating a connection to a known phishing domain with subsequent suspicious authentication behavior. Specifically, it identifies sessions associated with non-corporate IP addresses that show evidence of token reuse (e.g., multiple distinct IP addresses for the same session identifier) occurring within a short window after accessing a phishing portal.
Detects non-standard processes, particularly fileless PowerShell, accessing Windows Token Broker cache (.tbres) files, a technique associated with ChocoShell credential/token theft.
Slack Anomalous Activity
Cortex XDR
This rule detects anomalous activity reported by Slack's internal anomaly detection system. This includes events such as impossible travel, new device access, suspicious IP changes, and other behavioral anomalies that Slack identifies. The rule extracts relevant user and context information for further investigation.
Detects successful DNS resolution responses, TLS SNI values, and HTTP Host headers referencing known Shai-Hulud/Miasma token-jacking transfer station infrastructure (amutes.com, abb1.life) used by attackers to resell stolen AI/LLM API access via gray-market proxy services.
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