Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects Sysmon registry events (EventCode 12, 13, 14) writing Run/RunOnce keys or Service ImagePath values that reference esetservice.exe from a user-writable path (AppData, ProgramData, Temp, Public, Downloads), excluding the legitimate Program Files\ESET install location.
This detection flags a parent and child process pair on internet-facing Windows servers, where the parent is a web server process and the child is the process it launched. The web server processes covered are w3wp, httpd, nginx and Tomcat, including versioned Tomcat service executables such as tomcat9.exe and Tomcat running under java.exe, which is identified by the Catalina bootstrap class in its command line. A server is treated as internet-facing based on the most recent status recorded for it.
Instead of matching known web shell names, the query builds a baseline from the previous 30 days of process activity on each device and alerts when a pair appears in the latest window that has never been seen on that device before, so it can catch web shell activity it has never seen before. Because the baseline is held per device, a pair that is normal on one server does not hide the same pair appearing on another.
The rule runs every 24 hours, as this is the only Defender custom detection frequency with a 30-day lookback, and the alert window covers the last 25 hours so that a slightly delayed run does not leave a gap.
The baseline and alert windows are separated by ingestion time rather than event time, so events that arrive late are still evaluated.
Instead of matching known web shell names, the query builds a baseline from the previous 30 days of process activity on each device and alerts when a pair appears in the latest window that has never been seen on that device before, so it can catch web shell activity it has never seen before. Because the baseline is held per device, a pair that is normal on one server does not hide the same pair appearing on another.
The rule runs every 24 hours, as this is the only Defender custom detection frequency with a 30-day lookback, and the alert window covers the last 25 hours so that a slightly delayed run does not leave a gap.
The baseline and alert windows are separated by ingestion time rather than event time, so events that arrive late are still evaluated.
Detects network, DNS, email, and URL click events matching known IOC domains associated with AdFection, Candiru, and Discover-Tech threat intelligence reports.
Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects potential exploitation of the libcurl CURLOPT_REQUEST_TARGET CRLF injection vulnerability via web/proxy request logs where curl user-agents are observed with carriage return/line feed characters or injected request lines within the URI path.
Sweeps network connection, HTTP/proxy, file, and process telemetry for exact matches against known Cling botnet indicators: dedicated STUN C2/operator IPs, Cling MIPS loader staging URLs, and known Cling sample SHA256 hashes. Tightened to exclude broad domain-level matching on stun.l.google.com (legitimate, ubiquitous Google STUN infrastructure that Cling spoofs/abuses rather than owns) and to match payload-staging hosts only by full URL rather than bare IP, reducing false positives from shared/compromised hosting and unrelated legitimate STUN traffic.
The following analytic detects "cldapi.dll" being loaded by a process not associated with legitimate cloud sync activity.
The Windows Cloud Files API (cldapi.dll) is abused by several local privilege escalation exploits.
The Windows Cloud Files API (cldapi.dll) is abused by several local privilege escalation exploits.
Detects non-browser processes accessing multiple sensitive browser credential/cookie files or cryptocurrency wallet files within a 24-hour window, which is a common indicator of credential theft or information stealer activity.
Detects process execution where a shell (such as bash, zsh, cmd, or powershell) is spawned by a skill or openclaw process, and subsequently performs download activities (e.g., using curl, wget, invoke-webrequest) or establishes persistence (e.g., via cron, systemd, registry run keys, schtasks).
Detects the use of curl or wget commands targeting the Cloud Instance Metadata Service (IMDS) at 169.254.169.254 for credential theft, or performing file uploads and data exfiltration patterns.
The following analytic identifies the execution of tools built by NirSoft by detecting specific command-line arguments such as "/stext" and "/scomma". It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, parent processes, and command-line executions. This activity is significant because NirSoft tools, while legitimate, can be exploited by attackers for malicious purposes such as credential theft or system reconnaissance. If confirmed malicious, this activity could lead to unauthorized access, data exfiltration, or further compromise of the affected system.
The following analytic identifies processes with command-line parameters associated with web browser credential dumping tools, specifically targeting behaviors used by Remcos RAT malware. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and specific file paths. This activity is significant as it indicates potential credential theft, a common tactic in broader cyber-espionage campaigns. If confirmed malicious, attackers could gain unauthorized access to sensitive web credentials, leading to further system compromise and data breaches.
This analytic detects PowerShell Script Block Logging (Event ID 4104) events that use common download methods to retrieve files directly from raw-content URLs on GitHub, GitLab, or Codeberg.
These code hosting services can be abused to stage payloads, but administrators and developers also download files from them.
A match identifies a download attempt; it does not establish that the file was successfully retrieved or executed. Review the full script block, destination path, process ancestry, and related endpoint activity.
These code hosting services can be abused to stage payloads, but administrators and developers also download files from them.
A match identifies a download attempt; it does not establish that the file was successfully retrieved or executed. Review the full script block, destination path, process ancestry, and related endpoint activity.
The following analytic detects the execution of a DNS query by a process to the associated Telegram API domain, which could indicate access via a Telegram bot commonly used by malware for command and control (C2) communications. By monitoring DNS queries related to Telegram's infrastructure, the detection identifies potential attempts to establish covert communication channels between a compromised system and external malicious actors. This behavior is often observed in cyberattacks where Telegram bots are used to receive commands or exfiltrate data, making it a key indicator of suspicious or malicious activity within a network.
Detects network connections, process executions, file creations, and image loads associated with the UNC7017 AOMEI supply chain campaign IOC sweep, including specific malicious URLs, domains, IPs, file paths, and hashes.
Detects repeated network policy access denials. NPS governs RADIUS-based access to
VPN and wireless, so a burst of denials for one identity is credential testing
against the remote access perimeter — often the first move against an organisation
from outside.
Onboarding: MANAGE-ENGINE-ADAUDIT-PLUS is ingested via Syslog (KV) (Bloo extractor 830).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=win-audit where sourcename='MANAGE-ENGINE-ADAUDIT-PLUS'
and action='NPS_USER_DENIED'
| duration 15m
| groupby user, networkpolicyname, reasoncode
| select user, networkpolicyname, reasoncode, count(*) as cnt
| having cnt > 10
VPN and wireless, so a burst of denials for one identity is credential testing
against the remote access perimeter — often the first move against an organisation
from outside.
Onboarding: MANAGE-ENGINE-ADAUDIT-PLUS is ingested via Syslog (KV) (Bloo extractor 830).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=win-audit where sourcename='MANAGE-ENGINE-ADAUDIT-PLUS'
and action='NPS_USER_DENIED'
| duration 15m
| groupby user, networkpolicyname, reasoncode
| select user, networkpolicyname, reasoncode, count(*) as cnt
| having cnt > 10
Detects an account being unlocked through Centrify on Windows. Lockout is often the
only visible consequence of a password-guessing attempt; an unlock immediately
afterwards either restores a locked-out colleague or, if performed by the attacker
who caused it, clears the obstacle so guessing can continue.
Onboarding: CENTRIFY-AUDITTRAIL-WINDOWS is ingested via Syslog (KV) (Bloo extractor 821).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=iam where sourcename='CENTRIFY-AUDITTRAIL-WINDOWS' and action='USER_UNLOCKED'
| groupby user, targetuser, domain, role
only visible consequence of a password-guessing attempt; an unlock immediately
afterwards either restores a locked-out colleague or, if performed by the attacker
who caused it, clears the obstacle so guessing can continue.
Onboarding: CENTRIFY-AUDITTRAIL-WINDOWS is ingested via Syslog (KV) (Bloo extractor 821).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=iam where sourcename='CENTRIFY-AUDITTRAIL-WINDOWS' and action='USER_UNLOCKED'
| groupby user, targetuser, domain, role
Detects scheduled task creation observed through ADAudit Plus. Scheduled tasks are a
long-standing persistence and remote execution mechanism, and seeing them at the
directory audit layer catches creation across the domain rather than host by host.
Onboarding: MANAGE-ENGINE-ADAUDIT-PLUS is ingested via Syslog (KV) (Bloo extractor 830).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=win-audit where sourcename='MANAGE-ENGINE-ADAUDIT-PLUS'
and action='TASK_CREATED'
| groupby user, object, commandline, domain
long-standing persistence and remote execution mechanism, and seeing them at the
directory audit layer catches creation across the domain rather than host by host.
Onboarding: MANAGE-ENGINE-ADAUDIT-PLUS is ingested via Syslog (KV) (Bloo extractor 830).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=win-audit where sourcename='MANAGE-ENGINE-ADAUDIT-PLUS'
and action='TASK_CREATED'
| groupby user, object, commandline, domain
Detects a DHCP-driven DNS update for a hostname not present in the asset inventory.
Dynamic DNS registration lets a device choose the name under which it is reachable,
and an attacker can use that to impersonate a service or make a rogue host appear
legitimate to anything resolving by name.
Onboarding: WIN-DHCP is ingested via Syslog (Bloo extractor 79).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=dhcp where sourcename='WIN-DHCP'
and action in ('DNS_UPDATE_REQUEST', 'DNS_UPDATED')
| groupby macaddress, srcip, user, resultcode
Dynamic DNS registration lets a device choose the name under which it is reachable,
and an attacker can use that to impersonate a service or make a rogue host appear
legitimate to anything resolving by name.
Onboarding: WIN-DHCP is ingested via Syslog (Bloo extractor 79).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=dhcp where sourcename='WIN-DHCP'
and action in ('DNS_UPDATE_REQUEST', 'DNS_UPDATED')
| groupby macaddress, srcip, user, resultcode
Detects process execution reported by a Smokescreen decoy. A decoy runs no business
workload, so any process beyond the platform's own agent indicates an intruder has
reached the asset and is executing code on it.
Capture the command line in full: on a decoy it is uncontaminated by legitimate
activity and gives a clean view of attacker tooling and intent.
Onboarding: SMOKESCREEN is ingested via Syslog (CEF) (Bloo extractor 206).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=threat where sourcename='SMOKESCREEN' and action='THREAT_DETECTED'
and process != ''
| groupby process, commandline, user, srcip
workload, so any process beyond the platform's own agent indicates an intruder has
reached the asset and is executing code on it.
Capture the command line in full: on a decoy it is uncontaminated by legitimate
activity and gives a clean view of attacker tooling and intent.
Onboarding: SMOKESCREEN is ingested via Syslog (CEF) (Bloo extractor 206).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=threat where sourcename='SMOKESCREEN' and action='THREAT_DETECTED'
and process != ''
| groupby process, commandline, user, srcip
Detects a rise in dropped or suppressed mail. Transport rules that silently discard
messages can be used to hide security alerts, suppress notifications of account
changes, or conceal an ongoing compromise from the people who would otherwise notice
it.
Mail that never arrives generates no complaint for some time, which is precisely why
this is worth watching.
Onboarding: MS-EXCHANGE is ingested via Syslog (Bloo extractor 142).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=email-gateway where sourcename='MS-EXCHANGE'
and action in ('EMAIL_DROPPED', 'EMAIL_SUPPRESSED')
| duration 1h
| groupby recipient, sender, direction
messages can be used to hide security alerts, suppress notifications of account
changes, or conceal an ongoing compromise from the people who would otherwise notice
it.
Mail that never arrives generates no complaint for some time, which is precisely why
this is worth watching.
Onboarding: MS-EXCHANGE is ingested via Syslog (Bloo extractor 142).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=email-gateway where sourcename='MS-EXCHANGE'
and action in ('EMAIL_DROPPED', 'EMAIL_SUPPRESSED')
| duration 1h
| groupby recipient, sender, direction
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