Ibrahim Saud
@tektrixIndiaCompletionist
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Detects the installation and execution of the Cloudflare tunnel utility (cloudflared) as a Windows service. This behavior has been observed in Akira ransomware intrusions, where attackers use cloudflared to create a covert C2 tunnel and obscure RDP sessions by routing traffic through Cloudflare, effectively masking the true origin of connections to the compromised host.
Detects malicious browser extensions associated with the StegoAd campaign fetching steganographic payloads (WebP/PNG) from known C2 infrastructure. The detection identifies requests originating from a browser extension context (via Referer header) that target specific image files commonly used by the malware for post-compromise staging and execution guardrail fingerprinting.
Detects the upload and execution of a specific malicious CSV file (evil_tenant.csv) on Cisco SD-WAN Manager (vManage) systems. This file is associated with exploitation of CVE-2026-20245, enabling attackers to inject a persistent root backdoor account into the system files.
Detects the execution of common system enumeration commands (process listing, network configuration, and system information) on Cisco SD-WAN infrastructure nodes. This activity is indicative of post-exploitation reconnaissance used by attackers to understand the system environment, network topology, and identify potential pivot points within the SD-WAN infrastructure.
Detects anomalous bulk GET requests directed at Cisco SD-WAN (vManage) REST API endpoints, specifically targeting topology information, device lists, and configuration templates. This pattern of activity is indicative of reconnaissance or exfiltration attempts against the SD-WAN fabric management interface.
This rule detects suspicious activity within Microsoft Graph API where an account is querying mailbox contents for sensitive payroll and HR-related keywords. This pattern is often observed following an Adversary-in-the-Middle (AiTM) session compromise, where threat actors (such as those associated with the Payroll Pirate campaign) leverage stolen session tokens to exfiltrate sensitive employee information by searching for specific financial and payroll keywords across multiple mailboxes.
This rule detects potential Akira ransomware activity by correlating three distinct malicious phases on a network: first, the deletion of volume shadow copies using vssadmin, wmic, or powershell; second, the disabling of system recovery features via bcdedit or wbadmin; and third, high-volume file renaming (indicating encryption) across multiple endpoints. The rule aggregates these events to identify coordinated campaign activity across at least two hosts.
Detects unauthorized changes to sensitive payroll information (such as bank accounts or direct deposit details) or suspicious inbox rule creations within Microsoft 365 or HR SaaS environments that occur immediately following anomalous authentication activity. The rule targets indicators of AiTM (Adversary-in-the-Middle) session hijacking, such as unusual user agents, unmanaged device usage, or potential token reuse.
Detects unauthorized access to the Active Directory database (NTDS.dit) or registry hives (SYSTEM, SECURITY) using native Windows utilities like wbadmin.exe and ntdsutil.exe. This activity is indicative of credential dumping and staging efforts for exfiltration, as observed in Akira ransomware campaigns.
Detects Microsoft 365 sign-in activity consistent with the Payroll Pirate campaign. This rule monitors for successful sign-ins originating from known residential proxy ASN providers (IPRoyal, Bright Data, Oxylabs) or instances where a successful sign-in occurs with a suspicious browser fingerprint (Firefox 131.0/142.0) during a Microsoft Graph OAuth2 token request, indicating session-token replay.
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