Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
608 detections
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Detects an address whose sign-ins are mostly failures across many accounts in a short window, with scripted clients and Storm-0940 campaign addresses flagged, which is how the password spray in Microsoft's ARTEX reporting looked. It does not cover the ConnectWise application sign-ins (service principal events) or a spray spread over many addresses. The query ran without errors in a live tenant.
Detects a high volume of authentication failures followed by a successful authentication from the same source IP address against edge devices like FortiGate or Palo Alto GlobalProtect within a specific time window.
Detects the execution of two or more distinct Active Directory discovery, credential extraction, or coercion tools (such as NetExec, Kerbrute, noPac, PetitPotam, SoftPerfect Network Scanner, or Impacket scripts) on the same device within a 1-hour window.
Detects a suspicious sequence where a client IP performs a brute-force attack against WordPress login or XML-RPC endpoints followed by enumeration of the wp-json REST API.
Detects high volume and diverse URI requests targeting login, search, or inquiry endpoints on IIS servers within a short time window, indicative of web brute force or active reconnaissance scanning.
Detects password spraying: a single source IP generating failed
logins against many distinct accounts in a short window. AI-assisted planning
can produce low-rate credential attacks designed to stay under per-account
lockout thresholds; the distinguishing signal is breadth across users rather
than volume per user.
logins against many distinct accounts in a short window. AI-assisted planning
can produce low-rate credential attacks designed to stay under per-account
lockout thresholds; the distinguishing signal is breadth across users rather
than volume per user.
Detects potential password spraying behavior in Entra ID sign-in logs, characterized by a single source IP attempting authentication against numerous distinct user accounts with a low number of attempts per user.
Detects high volume and diverse URI requests targeting login, search, or inquiry endpoints on IIS servers within a short time window, indicative of web brute force or active reconnaissance scanning.
Detects endpoint execution of specific known brute-force scripts and tools (such as ssh_brute.py, brute3.py, auto_login.py, etc.) using Python or shell interpreters, correlated with a high outbound network connection fan-out (50 or more distinct target IPs) from the same process.
Detects repeated authentication failures against the wireless controller. Wireless
authentication attacks require physical proximity, so unlike internet-facing
brute force this indicates somebody near the building — which changes the response
entirely.
Onboarding: CISCO-AIR-CT5508-K9 is ingested via Syslog (Bloo extractor 201).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=authentication where sourcename='CISCO-AIR-CT5508-K9' and action='LOGIN'
| duration 15m
| groupby srcip, reason
| select srcip, reason, distinct_count(user)
| having distinct_count_col1 > 5
authentication attacks require physical proximity, so unlike internet-facing
brute force this indicates somebody near the building — which changes the response
entirely.
Onboarding: CISCO-AIR-CT5508-K9 is ingested via Syslog (Bloo extractor 201).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=authentication where sourcename='CISCO-AIR-CT5508-K9' and action='LOGIN'
| duration 15m
| groupby srcip, reason
| select srcip, reason, distinct_count(user)
| having distinct_count_col1 > 5
Detects a burst of failed authentications against Zimbra. Internet-facing webmail is
among the most consistently attacked surfaces in any estate, and Zimbra deployments
frequently sit outside the identity controls applied to the rest of the organisation.
Onboarding: ZIMBRA is ingested via Syslog (Bloo extractor 123).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=authentication where sourcename='ZIMBRA' and action='LOGIN'
| duration 15m
| groupby srcip, reason
| select srcip, reason, distinct_count(user)
| having distinct_count_col1 > 10
among the most consistently attacked surfaces in any estate, and Zimbra deployments
frequently sit outside the identity controls applied to the rest of the organisation.
Onboarding: ZIMBRA is ingested via Syslog (Bloo extractor 123).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=authentication where sourcename='ZIMBRA' and action='LOGIN'
| duration 15m
| groupby srcip, reason
| select srcip, reason, distinct_count(user)
| having distinct_count_col1 > 10
Detects multiple failed sign-in attempts against specific high-privilege break-glass accounts in Microsoft Entra ID within a 1-hour window.
Detects endpoint execution of specific known brute-force scripts and tools (such as ssh_brute.py, brute3.py, auto_login.py, etc.) using Python or shell interpreters, correlated with a high outbound network connection fan-out (50 or more distinct target IPs) from the same process.
Detects endpoint execution of specific known brute-force scripts and tools (such as ssh_brute.py, brute3.py, auto_login.py, etc.) using Python or shell interpreters, correlated with a high outbound network connection fan-out (50 or more distinct target IPs) from the same process.
Detects endpoint execution of specific known brute-force scripts and tools (such as ssh_brute.py, brute3.py, auto_login.py, etc.) using Python or shell interpreters, correlated with a high outbound network connection fan-out (50 or more distinct target IPs) from the same process.
Define a baseline threshold for failed sign-ins due to Conditional Access failures
Identifies brute force attacks on SAP systems using RFC logons. Detects a single IP attempting to sign in to several systems or clients within a 1-hour interval, indicating potential credential stuffing or internal lateral movement.
Detects endpoint execution of specific known brute-force scripts and tools (such as ssh_brute.py, brute3.py, auto_login.py, etc.) using Python or shell interpreters, correlated with a high outbound network connection fan-out (50 or more distinct target IPs) from the same process.
Detects repeated authentication failures at the IBM Security Access Manager reverse
proxy. WebSEAL fronts internal applications for external users, so it is the first
thing an attacker reaches and frequently the only control between the internet and
a legacy application that has none of its own.
Onboarding: ISAM-WEBSEAL is ingested via Syslog (Bloo extractor 85).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=authentication where sourcename='ISAM-WEBSEAL' and action='LOGIN'
| duration 15m
| groupby srcip, status, reason
| select srcip, status, reason, distinct_count(user)
| having distinct_count_col1 > 8
proxy. WebSEAL fronts internal applications for external users, so it is the first
thing an attacker reaches and frequently the only control between the internet and
a legacy application that has none of its own.
Onboarding: ISAM-WEBSEAL is ingested via Syslog (Bloo extractor 85).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=authentication where sourcename='ISAM-WEBSEAL' and action='LOGIN'
| duration 15m
| groupby srcip, status, reason
| select srcip, status, reason, distinct_count(user)
| having distinct_count_col1 > 8
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 RADIUS authentication activity observed in network traffic, including the
MAC address of the requesting device. Seeing RADIUS on the wire catches
authentication against network infrastructure that often logs nowhere else —
switches, wireless controllers and VPN concentrators.
Onboarding: NTA is ingested via Network Traffic Analysis (Bloo extractor 717).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=nta-authentication-radius where sourcename='NTA'
| duration 1h
| groupby srcip, dstip, user, macaddress
MAC address of the requesting device. Seeing RADIUS on the wire catches
authentication against network infrastructure that often logs nowhere else —
switches, wireless controllers and VPN concentrators.
Onboarding: NTA is ingested via Network Traffic Analysis (Bloo extractor 717).
Integration guide: https://bloo.io/docs/integrations
BQL (Bloo Query Language):
stream=nta-authentication-radius where sourcename='NTA'
| duration 1h
| groupby srcip, dstip, user, macaddress
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