Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects repositories being downloaded. Source code is intellectual property and
frequently contains embedded secrets, infrastructure detail and the logic of the
security controls themselves. Bulk download by one actor is the clearest signal of
code theft, whether by a departing engineer or a compromised account.
Onboarding: GITHUB is ingested via GitHub connector (Bloo extractor 870).
Integration guide: https://bloo.io/docs/hypercloud/github-connector
BQL (Bloo Query Language):
stream=github where sourcename='GITHUB' and action='REPOSITORY_DOWNLOADED'
| duration 1h
| groupby target
| select target, distinct_count(repositoryid)
| having distinct_count_col1 > 5
frequently contains embedded secrets, infrastructure detail and the logic of the
security controls themselves. Bulk download by one actor is the clearest signal of
code theft, whether by a departing engineer or a compromised account.
Onboarding: GITHUB is ingested via GitHub connector (Bloo extractor 870).
Integration guide: https://bloo.io/docs/hypercloud/github-connector
BQL (Bloo Query Language):
stream=github where sourcename='GITHUB' and action='REPOSITORY_DOWNLOADED'
| duration 1h
| groupby target
| select target, distinct_count(repositoryid)
| having distinct_count_col1 > 5
Detects an unusual volume of externally directed mail from one sender. Mail is a
high-capacity exfiltration channel that is permitted by default, and a compromised
mailbox sending outward in bulk is both data loss and, where the content is phishing,
damage to the organisation's sending reputation.
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='EMAIL_SENT_EXTERNAL'
| duration 1h
| groupby sender
| select sender, count(*) as cnt
| having cnt > 100
high-capacity exfiltration channel that is permitted by default, and a compromised
mailbox sending outward in bulk is both data loss and, where the content is phishing,
damage to the organisation's sending reputation.
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='EMAIL_SENT_EXTERNAL'
| duration 1h
| groupby sender
| select sender, count(*) as cnt
| having cnt > 100
Detects a single Box account downloading an unusually high number of distinct files
in a short window. This is the clearest signal of data theft from cloud storage,
whether by a departing employee or an attacker using a compromised account.
Baseline per role before deployment: sales and legal teams legitimately pull large
document sets, while most users download a handful of files a day.
Onboarding: BOX is ingested via Box native connector (Bloo extractor 711).
Integration guide: https://bloo.io/docs/hypercloud/box-connector
BQL (Bloo Query Language):
stream=documents where sourcename='BOX' and action='DOWNLOADED'
| duration 1h
| groupby user
| select user, distinct_count(file)
| having distinct_count_col1 > 50
in a short window. This is the clearest signal of data theft from cloud storage,
whether by a departing employee or an attacker using a compromised account.
Baseline per role before deployment: sales and legal teams legitimately pull large
document sets, while most users download a handful of files a day.
Onboarding: BOX is ingested via Box native connector (Bloo extractor 711).
Integration guide: https://bloo.io/docs/hypercloud/box-connector
BQL (Bloo Query Language):
stream=documents where sourcename='BOX' and action='DOWNLOADED'
| duration 1h
| groupby user
| select user, distinct_count(file)
| having distinct_count_col1 > 50
Detects a Box account accessed from a source address with no prior history, followed
by substantial download activity. The combination is far stronger than either signal
alone: a new location by itself is routine for mobile users, and downloads by
themselves are routine for everyone.
Onboarding: BOX is ingested via Box native connector (Bloo extractor 711).
Integration guide: https://bloo.io/docs/hypercloud/box-connector
BQL (Bloo Query Language):
stream=documents where sourcename='BOX' and action='DOWNLOADED'
| duration 1h
| groupby user, srcip
| select user, srcip, count(*) as cnt
| having cnt > 25
by substantial download activity. The combination is far stronger than either signal
alone: a new location by itself is routine for mobile users, and downloads by
themselves are routine for everyone.
Onboarding: BOX is ingested via Box native connector (Bloo extractor 711).
Integration guide: https://bloo.io/docs/hypercloud/box-connector
BQL (Bloo Query Language):
stream=documents where sourcename='BOX' and action='DOWNLOADED'
| duration 1h
| groupby user, srcip
| select user, srcip, count(*) as cnt
| having cnt > 25
Detects potential data exfiltration activity where a device first exhibits usage of a remote monitoring and management (RMM) tool, followed by the execution of known data transfer or exfiltration utilities such as WinSCP or Rclone.
The following analytic detects a high volume of Amazon CloudWatch Logs read operations performed by the same AWS principal and account within a
five-minute period.
It identifies more than 500 DescribeLogGroups, DescribeLogStreams, DownloadLogEvents, FilterLogEvents, GetLogEvents, or GetQueryResults API calls.
This activity may indicate automated discovery or collection of operational, application, or security telemetry from CloudWatch Logs.
five-minute period.
It identifies more than 500 DescribeLogGroups, DescribeLogStreams, DownloadLogEvents, FilterLogEvents, GetLogEvents, or GetQueryResults API calls.
This activity may indicate automated discovery or collection of operational, application, or security telemetry from CloudWatch Logs.
Detects the sequential relationship of data staging using tools like WinRAR and subsequent exfiltration using tools like Rclone, WinSCP, or FileZilla on a single host within a 24-hour window.
Suspicious Connection to Custom GPT
Cortex XDR
Detects outbound web traffic to OpenAI ChatGPT Custom GPTs where the URL slug contains keywords potentially indicative of unauthorized or non-standard usage, such as keywords implying premium, professional, or official status, which could be used as a cover for data exfiltration or credential gathering via malicious or typo-squatted GPT instances.
Detects post-exploitation activities associated with FortiMail vulnerability CVE-2026-104286 (FG-IR-26-175). The rule identifies potential unauthorized persistence and data exfiltration, including the creation or modification of archive accounts with remote destinations, execution of 'migadmin' via root cron, and specific admin logout anomalies.
Detects data staging and exfiltration preceding Play double extortion: WinRAR/RAR adding files to an archive (recursive or password-protected) followed within 4 hours by a WinSCP transfer from the same host and user.
Detects a large outbound transfer measured at the Versa edge. Branch sites typically
send modest volumes, so a sustained upload from one is either a backup nobody
documented or data leaving a location with the least security coverage in the
estate.
Onboarding: VERSA-NETWORKS is ingested via Syslog (KV) (Bloo extractor 806).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=firewall where sourcename='VERSA-NETWORKS'
and action='SESSION_ESTABLISHED'
| duration 1h
| groupby srcip, dstip, dstport, app, txlen
send modest volumes, so a sustained upload from one is either a backup nobody
documented or data leaving a location with the least security coverage in the
estate.
Onboarding: VERSA-NETWORKS is ingested via Syslog (KV) (Bloo extractor 806).
Integration guide: https://bloo.io/docs/hypercloud/syslog-connector
BQL (Bloo Query Language):
stream=firewall where sourcename='VERSA-NETWORKS'
and action='SESSION_ESTABLISHED'
| duration 1h
| groupby srcip, dstip, dstport, app, txlen
Detects script-driven (curl, wget, python) outbound connections to
AI/LLM API endpoints. The campaign uses legitimate AI platform APIs as covert
command, control, and exfiltration channels, blending malicious traffic with
approved web services to evade network-based detection.
AI/LLM API endpoints. The campaign uses legitimate AI platform APIs as covert
command, control, and exfiltration channels, blending malicious traffic with
approved web services to evade network-based detection.
The following analytic detects the use of Windows Curl.exe to upload a file to a remote destination.
It identifies command-line arguments such as `-T`, `--upload-file`, `-d`, `--data`, and `-F` in process execution logs.
This activity is significant because adversaries may use Curl to exfiltrate data or upload malicious payloads. If confirmed malicious, this could lead to data breaches or further compromise of the system.
Analysts should review parallel processes and network logs to determine if the upload was successful and isolate the endpoint if necessary.
It identifies command-line arguments such as `-T`, `--upload-file`, `-d`, `--data`, and `-F` in process execution logs.
This activity is significant because adversaries may use Curl to exfiltrate data or upload malicious payloads. If confirmed malicious, this could lead to data breaches or further compromise of the system.
Analysts should review parallel processes and network logs to determine if the upload was successful and isolate the endpoint if necessary.
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.
Detects the creation of specific GitHub repositories ('tpcp-docs' or 'docs-tpcp') associated with TeamPCP stealer fallback exfiltration activity, including subsequent release or asset creation.
Detects established git actors (seen >7 days ago) originating from a newly observed source IP address (first seen within 24 hours) that perform a high volume of git operations (>=15) across multiple distinct repositories (>=10). This behavior often indicates compromised developer credentials being used to enumerate and clone source code repositories.
Detects when a user performs a bulk data download (large volume of data) shortly after accessing restricted or sensitive SAP objects such as sensitive tables, ABAP programs, or transactions.
Detects a sequential pattern where a browser process (Chrome, Edge, or Safari) accesses an AI chat platform's conversation API, followed within 5 minutes by a network connection to a known unauthorized exfiltration destination (api.pbapi.xyz). This pattern suggests the potential use of a browser-based tool or extension (e.g., Poper Blocker or similar) to intercept and exfiltrate AI chat history.
The following analytic detects the use of the curl command with specific switches (-F, --form, --upload-file, -T, -d, --data, --data-raw, -I, --head) to upload AWS credentials or configuration files to a remote destination. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process details. This activity is significant as it may indicate an attempt to exfiltrate sensitive AWS credentials, a technique known to be used by the TeamTNT group. If confirmed malicious, this could lead to unauthorized access and potential compromise of AWS resources.
Detects outbound network traffic associated with the Azazel operation, including connections to identified C2 infrastructure, open directory/upload listeners, domain-specific staging servers, and exfiltration attempts to MEGA cloud storage endpoints.
Detects a sequential pattern where a browser process (Chrome, Edge, or Safari) accesses an AI chat platform's conversation API, followed within 5 minutes by a network connection to a known unauthorized exfiltration destination (api.pbapi.xyz). This pattern suggests the potential use of a browser-based tool or extension (e.g., Poper Blocker or similar) to intercept and exfiltrate AI chat history.
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