Hunt pack: Agrius

Identifies that a login attempt has happened from a forbidden location.

Identifies the occurrence of a CyberArk Privileged Access Security (PAS) error level audit event. The event.code correlates to the CyberArk Vault Audit Action Code.

Identifies attempts to login to AWS as the root user without using multi-factor authentication (MFA). Amazon AWS best practices indicate that the root user should be protected by MFA.

Detects events that have a mismatch on the expected event agent ID. The status "agent_id_mismatch/mismatch" occurs when the expected agent ID associated with the API key does not match the actual agent ID in an event. This could indicate attempts to spoof events in order to masquerade actual activity to evade detection.

Identifies a high-volume of AWS S3 objects stored in a bucket using using Server-Side Encryption with Customer-Provided Keys (SSE-C). Adversaries with compromised AWS credentials can encrypt objects in an S3 bucket using their own encryption keys, rendering the objects unreadable or recoverable without the key. This can be used as a form of ransomware to extort the bucket owner for the decryption key. This is a Threshold rule that triggers when this behavior is observed multiple times for a specific bucket in a short time-window.

This rule detects the first observed successful login of a user with the Administrator role to the FortiGate management interface within the last 5 days. First-time administrator logins can indicate newly provisioned accounts, misconfigurations, or unauthorized access using valid credentials and should be reviewed promptly.

This rule detects successful logins to the FortiGate management interface using the same Administrator account from multiple distinct source IP addresses within an 24-hour period. Administrator logins from multiple locations in a short time window may indicate credential sharing, compromised credentials, or unauthorized access and should be investigated.

This rule correlate Entra-ID or Microsoft 365 mail successful sign-in events with network security alerts by source address. Adversaries may trigger some network security alerts such as reputation or other anomalies before accessing cloud resources.

Identifies execution of the NetSupport remote access software from non-default paths. Adversaries may abuse NetSupport Manager to control a victim machine.

Detects attempts to exploit privilege escalation vulnerabilities related to the Print Spooler service. For more information refer to CVE-2021-34527 and verify that the impacted system is investigated.

Detects the creation or modification of a print driver with an unusual file name. This may indicate attempts to exploit privilege escalation vulnerabilities related to the Print Spooler service. For more information refer to CVE-2021-34527 and verify that the impacted system is investigated.

Detects a short sequence where a non-root user performs unshare-related namespace activity (often associated with user namespace privilege escalation primitives) and then a root process is executed shortly after. This can indicate a successful local privilege escalation attempt or suspicious namespace manipulation captured in Auditd Manager telemetry.

Identifies process execution followed by a file overwrite of an executable by the same parent process. This may indicate an evasion attempt to execute malicious code in a stealthy way.

Identifies the network signature of CVE-2026-41940, a pre-auth root-level authentication bypass in cPanel and WebHost Manager (WHM) caused by a CRLF injection in the session writer. The exploit-inherent shape on the wire is a `GET /` request to a cPanel/WHM admin port (typically TCP/2087, 2086, 2083, 2082, 2095, 2096) carrying an `Authorization: Basic` header whose base64-decoded value contains CRLF-injected session fields, which causes cpsrvd to respond with a 3xx redirect whose `Location` header leaks a `/cpsessNNNNNNNNNN` token granting the attacker a privileged session. This is the network-layer equivalent of the cPanel `access_log` artifact identified by Unfold and watchTowr as the first bulletproof detection for this CVE: a `GET /` recorded with `auth_method=b` (HTTP Basic). Legitimate access to `GET /` on a WHM admin port returns 200 with the login screen and never includes HTTP Basic credentials, so this combination is not produced by normal use.

Generates a detection alert each time an Elastic Defend alert for ransomware are received. Enabling this rule allows you to immediately begin investigating your Endpoint ransomware alerts. This rule identifies Elastic Defend ransomware detections only, and does not include prevention alerts.

Generates a detection alert each time an Elastic Defend alert for ransomware are received. Enabling this rule allows you to immediately begin investigating your Endpoint ransomware alerts. This rule identifies Elastic Defend ransomware preventions only, and does not include detection only alerts.

Detects attempts to exploit privilege escalation vulnerabilities related to the Adobe Acrobat Reader PrivilegedHelperTool responsible for installing updates. For more information, refer to CVE-2020-9615, CVE-2020-9614 and CVE-2020-9613 and verify that the impacted system is patched.

Identifies the deletion of an Amazon EFS file system using the "DeleteFileSystem" API operation. Deleting an EFS file system permanently removes all stored data and cannot be reversed. This action is rare in most environments and typically limited to controlled teardown workflows. Adversaries with sufficient permissions may delete a file system to destroy evidence, disrupt workloads, or impede recovery efforts.

Identifies the deletion of an Amazon RDS DB instance, Aurora cluster, or global database cluster. Deleting these resources permanently destroys stored data and can cause major service disruption. Adversaries with sufficient permissions may delete RDS resources to impede recovery, destroy evidence, or inflict operational impact on the environment.

Identifies use of the S3 CopyObject API where the destination object is encrypted using an AWS KMS key from an external AWS account. This behavior may indicate ransomware-style impact activity where an adversary with access to a misconfigured S3 bucket encrypts objects using a KMS key they control, preventing the bucket owner from decrypting their own data. This technique is a critical early signal of destructive intent or cross-account misuse.

Detects the execution of the VScode portable binary with the tunnel command line option indicating an attempt to establish a remote tunnel session to Github or a remote VScode instance.

Identifies that a login attempt occurred at a forbidden time.

Identifies that the maximum number of failed login attempts has been reached for a user.

Identifies that the maximum number login sessions has been reached for a user.

Identifies that a user has deleted an unusually large volume of files as reported by Microsoft Cloud App Security.

This rule monitors for the execution of the systemd-run command by a user with a UID that is larger than the maximum allowed UID size (INT_MAX). Some older Linux versions were affected by a bug which allows user accounts with a UID greater than INT_MAX to escalate privileges by spawning a shell through systemd-run.

This detection correlates FortiGate's application control SOCKS events with Elastic Defend network event to identify the source process performing SOCKS traffic. Adversaries may use a connection proxy to direct network traffic between systems or act as an intermediary for network communications to a command and control server to avoid direct connections to their infrastructure.

Detects when a FortiGate SSL VPN login event is followed by any SIEM detection alert for the same user name within a short time window. This correlation can indicate abuse of VPN access for malicious activity, credential compromise used from a VPN session, or initial access via VPN followed by post-compromise behavior.

This rule detects when a GitHub repository is deleted within your organization. Repositories are a critical component used within an organization to manage work, collaborate with others and release products to the public. Any delete action against a repository should be investigated to determine it's validity. Unauthorized deletion of organization repositories could cause irreversible loss of intellectual property and indicate compromise within your organization.

This rule detects an attempt to create or modify a service as type NodePort. The NodePort service allows a user to externally expose a set of labeled pods to the internet. This creates an open port on every worker node in the cluster that has a pod for that service. When external traffic is received on that open port, it directs it to the specific pod through the service representing it. A malicious user can configure a service as type Nodeport in order to intercept traffic from other pods or nodes, bypassing firewalls and other network security measures configured for load balancers within a cluster. This creates a direct method of communication between the cluster and the outside world, which could be used for more malicious behavior and certainly widens the attack surface of your cluster.

This detection correlates Palo Alto Networks (PANW) command and control events with Elastic Defend network events to identify the source process performing the network activity.

Identifies a user account that normally logs in with high volume from one source IP suddenly logging in from a different source IP. This pattern (one IP with many successful logons, another IP with very few) may indicate account takeover or use of stolen credentials from a new location.

Identifies a user account (often a service account) that normally logs in with high volume using one logon type suddenly showing successful logons using a different logon type with low count. This pattern may indicate account takeover or use of stolen credentials from a new context (e.g. interactive or network logon where only batch/service was expected).

This rule identifies a sequence of a mass file encryption event in conjunction with the creation of a .txt file with a file name containing ransomware keywords executed by the same process in a 1 second timespan. Ransomware is a type of malware that encrypts a victim's files or systems and demands payment (usually in cryptocurrency) in exchange for the decryption key. One important indicator of a ransomware attack is the mass encryption of the file system, after which a new file extension is added to the file.

Detects when a user reports suspicious activity for their Okta account. These events should be investigated, as they can help security teams identify when an adversary is attempting to gain access to their network.

This rule identifies a sequence of 100 file extension rename events within a set of common file paths by the same process in a timespan of 1 second. Ransomware is a type of malware that encrypts a victim's files or systems and demands payment (usually in cryptocurrency) in exchange for the decryption key. One important indicator of a ransomware attack is the mass encryption of the file system, after which a new file extension is added to the file.

Identifies a suspicious parent child process relationship with cmd.exe descending from an unusual process.

Detects unusual Print Spooler service (spoolsv.exe) child processes. This may indicate an attempt to exploit privilege escalation vulnerabilities related to the Printing Service on Windows.

Identifies when an Azure Automation account is created. Azure Automation accounts can be used to automate management tasks and orchestrate actions across systems. An adversary may create an Automation account in order to maintain persistence in their target's environment.

Identifies when an Azure Automation runbook is deleted. An adversary may delete an Azure Automation runbook in order to disrupt their target's automated business operations or to remove a malicious runbook for defense evasion.

Enumeration of files and directories using built-in tools. Adversaries may use the information discovered to plan follow-on activity.

This rule detects unusual request responses in Kubernetes audit logs through the use of the "new_terms" rule type. In production environments, default API requests are typically made by system components or trusted users, who are expected to have a consistent user agent and allowed response annotations. By monitoring for anomalies in the username and response annotations, this rule helps identify potential unauthorized access or misconfigurations in the Kubernetes environment.

Binaries signed with trusted digital certificates can execute on Windows systems protected by digital signature validation. Adversaries may use these binaries to 'live off the land' and execute malicious files that could bypass application allowlists and signature validation.

Adversaries may attempt to get information about running processes on a system.

Strace is a useful diagnostic, instructional, and debugging tool. This rule identifies a privileged context execution of strace which can be used to escape restrictive environments by instantiating a shell in order to elevate privileges or move laterally.

Detects attempts to exploit privilege escalation vulnerabilities related to the Print Spooler service including CVE-2020-1048 and CVE-2020-1337.

Identifies a suspicious image load (wmiutils.dll) from Microsoft Office processes. This behavior may indicate adversarial activity where child processes are spawned via Windows Management Instrumentation (WMI). This technique can be used to execute code and evade traditional parent/child processes spawned from Microsoft Office products.

This rule detects the use of dmidecode to gather system information from a Linux host when executed from a parent shell process. Adversaries may use dmidecode to collect detailed hardware and system information, which can aid in further exploitation or lateral movement within a network, or be used as a fingerprint for a compromised system.

The whoami application was executed on a Linux host. This is often used by tools and persistence mechanisms to test for privileged access.

'This rule identifies a web request with a user agent header known to belong to a hacking tool. This indicates a hacking tool is used on the host.<br>You can add custom hacking tool indicating User-Agent headers using a watchlist, for more information refer to the [UnusualUserAgents Watchlist](https://aka.ms/ASimUnusualUserAgentsWatchlist). This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM WebSession schema (ASIM WebSessio

let threatCategory="Hacking Tool";
let knownUserAgentsIndicators = materialize(externaldata(UserAgent:string, Category:string)
    [ @"https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/Sample%20Data/Feeds/UnusualUserAgents.csv"] 
        with(format="csv", ignoreFirstRecord=True));
let knownUserAgents=toscalar(knownUserAgentsIndicators | where Category==threatCategory | where isnotempty(UserAgent) | summarize make_list(UserAgent));
let customUserAgents=toscalar(_GetWatchlist("UnusualUserAgents") | where SearchKey==threatCategory | extend UserAgent=column_ifexists("UserAgent","") | where isnotempty(UserAgent) | summarize make_list(UserAgent));
let fullUAList = array_concat(knownUserAgents,customUserAgents);
_Im_WebSession(httpuseragent_has_any=fullUAList)
| project SrcIpAddr, Url, TimeGenerated, HttpUserAgent, SrcUsername
| extend AccountName = tostring(split(SrcUsername, "@")[0]), AccountUPNSuffix = tostring(split(SrcUsername, "@")[1])