Detections

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

2,686 detections

This rule detects potential data exfiltration by monitoring for the creation of zip archives followed by an network connection to Telegram's API by the same device within a 10-minute window. This behavior often indicates that a user or an attacker is staging data in an archive and subsequently uploading it to a cloud file-sharing service.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
305
Detects anomalous ICMP Echo Request packets (Type 8) directed towards external networks that contain a payload size greater than 128 bytes. Such anomalies are often indicative of ICMP tunneling, which may be leveraged by adversaries for command and control (C2) communication or data exfiltration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
108
Detects DNS TXT query responses containing anomalously large RDATA payloads (exceeding 100 bytes). Large TXT records are frequently used in DNS tunneling or data exfiltration scenarios to smuggle data out of a network while bypassing traditional network security controls. The rule applies a threshold limit to identify persistent, potentially malicious exfiltration activity from a specific source over a 60-second window.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
008
Detects potentially malicious or anomalous queries within Microsoft 365 Copilot interactions. The rule monitors for patterns indicating attempts at data exfiltration (e.g., HTML/image embedding, image search parameters), unauthorized information extraction (e.g., email or title extraction), or targeting of sensitive authentication-related information (e.g., OTP or MFA codes).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
109
Detects unauthorized execution of AWS CLI commands within a shell spawned by Amazon Q or AWS language server processes. This activity typically involves the 'aws sts get-caller-identity' command being piped to 'curl' for remote exfiltration of cloud credentials, a behavior associated with the exploitation of CVE-2026-12957 in MCP auto-execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
009
Detects anomalous outbound network traffic from Firefox processes indicative of CVE-2025-15661 exploitation. The rule monitors for communication with a specific non-standard port (8765) associated with a SmartWindow PoC server, or requests containing suspicious URI query parameters ('u0', 'u1', 'u2', 'source=history') frequently used for exfiltrating private browsing tabs and history via the '/leak' endpoint.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
109
This rule detects when a single user downloads 100 or more files from SharePoint within a one-hour period. This activity could indicate data exfiltration or unauthorized bulk access to sensitive documents.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
208
Detects coordinated malicious behaviors associated with BQTLock ransomware, specifically identifying external IP reconnaissance, direct communication with known C2 infrastructure, abuse of the Telegram API for command-and-control or exfiltration, and host enumeration via system utilities by non-standard processes. The rule aggregates these suspicious signals and triggers an alert when multiple events occur within the same process storyline.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
1207
This rule detects a suspicious volume of file copy activity (over 200 files) to a non-local drive (potentially a removable/USB device) occurring within 24 hours of an account being deleted or disabled on the same host. This pattern may indicate an insider threat or an adversary attempting to exfiltrate sensitive data shortly before or after losing authorized access to an account.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
007
Detects high volume HTTPS outbound traffic (greater than 50MB within a 5-minute window) from a host that does not show evidence of preceding file encryption or volume shadow copy deletion activity. This rule is designed to identify potential unauthorized data exfiltration that deviates from typical ransomware-associated behavior patterns.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
107
This rule detects outbound network connections to URLs associated with common file sharing services (e.g., Dropbox, Mega, Gofile) or temporary email providers (e.g., Temp-Mail). Such connections can indicate data exfiltration attempts, use of unsanctioned services, or communication with command and control infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
107
This rule detects outbound HTTP POST requests to dynv6-hosted infrastructure, specifically targeting communication patterns associated with Kimsuky campaigns. It monitors for exfiltration indicators such as the 'finalservice.php' endpoint, specific multipart form boundaries, and file indicators like 'Info.txt' used for data exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
Detects instances where Chrome or Microsoft Edge web browsers access local sensitive credential storage files (e.g., Login Data, Web Data, Cookies) from unexpected file system paths, combined with external network traffic from the same process instance. This behavior is indicative of potential malicious browser extension abuse, DLL sideloading, or unauthorized browser instance execution for credential exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
009
This rule detects file system artifacts and network activity associated with a malicious Chromium-based browser extension (ID: flkebkiofojicogddingbdmcmkpbplcd). The extension utilizes service workers to intercept browser search queries and capture keystrokes, subsequently exfiltrating the data to an attacker-controlled domain.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
309
Detects high-volume file writes or the use of common command-line copy utilities (xcopy, robocopy, copy) targeting removable drive paths (E-G:). This behavior is often indicative of data staging or exfiltration activities.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
007
This rule detects a high volume of file creation or modification events on removable media (e.g., USB drives). A count of 10 or more file operations within a one-hour window by a single initiating process account on paths containing 'USB' or 'Removable' is considered suspicious and may indicate data exfiltration or staging.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
107
Detects an unusually high number of file copy operations to 'public' or 'external' folders within a one-hour window, initiated by the same process account. This behavior could indicate data exfiltration or unauthorized data staging.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
107
Detects network communication to the Telegram Bot API (api.telegram.org) initiated by processes other than standard web browsers. This behavior is indicative of malicious activity such as automated data exfiltration, C2 communication, or victim status reporting, as observed in ransomware campaigns like BQTLock.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
106
Detects evidence of SearchLeak (CVE-2026-42824), a post-exploitation technique where M365 Copilot prompt injection causes a browser to perform a Bing 'searchbyimage' request. The 'imgurl' parameter points to an attacker-controlled server, with the URL path containing exfiltrated mailbox data (e.g., MFA codes, email content) encoded as underscore-delimited segments. The Bing service performs an SSRF, fetching the image from the attacker's server and thereby delivering the data while bypassing local client-side security controls like CSP.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
1107
Detects a high volume of file uploads (greater than 50) to OneDrive or SharePoint by a single user within a 5-minute window, potentially indicating bulk exfiltration of data.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
109
This rule detects a multi-stage process indicative of Server-Side Request Forgery (SSRF) leveraging Bing's Search-by-Image service. Stage 1 captures browsers submitting arbitrary URLs (via the imgurl= parameter) to Bing. Stage 2 detects subsequent inbound requests to an external, attacker-controlled server originating from Bing's infrastructure, suggesting that Bing performed an unauthorized fetch of a resource and delivered it to the attacker, potentially exfiltrating sensitive data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
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